Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
npx @colbymchenry/codegraphA hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
Professional Claude Code skills marketplace featuring production-ready skills for enhanced development workflows.
⭐ Start here if you want to create your own skills!
The skill-creator is the meta-skill that enables you to build, validate, and package your own Claude Code skills. It's the most important tool in this marketplace because it empowers you to extend Claude Code with your own specialized workflows.
This is a production-hardened fork of Anthropic's official skill-creator, born from building real skills and hitting every wall the official version doesn't warn you about.
The official skill-creator tells you what to build. Ours also tells you what not to try — and why.
| You're trying to... | Official | This Fork |
|---|---|---|
| Research before building | "Check available MCPs" (5 lines) | 8-channel search protocol with decision matrix: Adopt / Extend / Build |
| Create a skill interactively | Prose-based instructions | 9 structured AskUserQuestion checkpoints — user never loses context |
| Avoid common mistakes | No guidance | Cache edit warnings, prerequisite checks, security scan gate |
| Know the architecture options | Not mentioned | Inline vs Fork decision guide with examples (choosing wrong silently breaks your skill) |
| Validate before shipping | Basic YAML check | Expanded validator (all frontmatter fields, path reference integrity, whitespace issues) |
| Catch security issues | No tooling | security_scan.py with gitleaks integration — hard gate before packaging |
| Learn from real failures | No failure cases | Battle-tested methodology with documented failure patterns and gotchas |
Quality comparison (independent audit, 8 dimensions):
| Dimension | Official | This Fork |
|---|---|---|
| Actionability | 7 | 9 |
| Error Prevention | 5 | 9 |
| Prior Art Research | 4 | 9 |
| Counter Review Process | 4 | 8 |
| Real-World Lessons | 3 | 8 |
| User Experience | 4 | 9 |
| Total (out of 80) | 42 | 65 |
Full methodology: skill-creator/references/skill-development-methodology.md
In Claude Code (in-app):
/plugin marketplace add daymade/claude-code-skills
Then:
From your terminal (CLI):
claude plugin marketplace add https://github.com/daymade/claude-code-skills
# Marketplace name: daymade-skills (from marketplace.json)
claude plugin install daymade-skill@daymade-skills
After installing skill-creator, simply ask Claude Code:
"Create a new skill called my-awesome-skill in ~/my-skills"
"Validate my skill at ~/my-skills/my-awesome-skill"
"Package my skill at ~/my-skills/my-awesome-skill for distribution"
Claude Code, with skill-creator loaded, will guide you through the entire skill creation process - from understanding your requirements to packaging the final skill.
📚 Full documentation: daymade-skill/skill-creator/SKILL.md
📝 Initialize New Skill
✅ Validate Skill Structure
📦 Package Skill for Distribution
/plugin marketplace add daymade/claude-code-skills
Then:
macOS/Linux:
curl -fsSL https://raw.githubusercontent.com/daymade/claude-code-skills/main/scripts/install.sh | bash
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/daymade/claude-code-skills/main/scripts/install.ps1 | iex
Add the marketplace:
claude plugin marketplace add https://github.com/daymade/claude-code-skills
Marketplace name is daymade-skills (from marketplace.json). Use @daymade-skills when installing plugins.
Do not use the repo path as a marketplace name (e.g. @daymade/claude-code-skills will fail).
In Claude Code, use /plugin ... slash commands. In your terminal, use claude plugin ....
Essential Skill (recommended first install):
# skill-creator ships inside the daymade-skill suite
claude plugin install daymade-skill@daymade-skills
Documentation Suite (shared namespace for document workflows):
claude plugin install daymade-docs@daymade-skills
This suite exposes related skills under one namespace, including:
/daymade-docs:doc-to-markdown
/daymade-docs:mermaid-tools
/daymade-docs:pdf-creator
/daymade-docs:ppt-creator
/daymade-docs:docs-cleaner
These skills ship as a bundle — there are no separate single-skill plugins. All documentation skills live under daymade-docs/ and install together from the suite.
Claude Code Operations Suite (shared namespace for Claude Code power-user workflows):
claude plugin install daymade-claude-code@daymade-skills
This suite bundles the skills that extend Claude Code itself — session recovery, CLAUDE.md tuning, troubleshooting, statusline configuration, export repair, marketplace development, terminal screenshot rendering, usage analysis, multi-provider model switching, and automatic local skill-source sync for Claude Code/Codex installs:
/daymade-claude-code:claude-code-history-files-finder
/daymade-claude-code:continue-claude-work
/daymade-claude-code:claude-skills-troubleshooting
/daymade-claude-code:claude-md-progressive-disclosurer
/daymade-claude-code:statusline-generator
/daymade-claude-code:claude-export-txt-better
/daymade-claude-code:marketplace-dev
/daymade-claude-code:terminal-screenshot
/daymade-claude-code:claude-usage-analyst
/daymade-claude-code:claude-switch-models-setup
Installed names render as daymade-claude-code:<skill> under a single shared namespace. These skills are bundle-only — install the suite to get all members.
Financial Data Suite (shared namespace for investment-research and financial data workflows):
claude plugin install daymade-financial@daymade-skills
This suite bundles the skills that fetch and analyze financial data — Bigdata.com (RavenPack) structured financials and sentiment, US equity fundamentals via yfinance, Gangtise (岗底斯) OpenAPI research suite orchestration, A-share news and policy aggregation, and A-share pharmaceutical sector daily reporting:
/daymade-financial:bigdata-skill
/daymade-financial:financial-data-collector
/daymade-financial:gangtise-copilot
/daymade-financial:ashare-news-fetcher
/daymade-financial:pharma-daily-report
Installed names render as daymade-financial:<skill> under a single shared namespace. These skills are bundle-only — install the suite to get all members.
Install Other Skills:
# GitHub operations
claude plugin install github-ops@daymade-skills
# Teams communication
claude plugin install teams-channel-post-writer@daymade-skills
# Repomix extraction
claude plugin install repomix-unmixer@daymade-skills
# AI/LLM icons
claude plugin install llm-icon-finder@daymade-skills
# CLI demo generation
claude plugin install cli-demo-generator@daymade-skills
# Cloudflare diagnostics
claude plugin install cloudflare-troubleshooting@daymade-skills
# UI design system extraction
claude plugin install ui-designer@daymade-skills
# YouTube video/audio downloading
claude plugin install youtube-downloader@daymade-skills
# Secure repomix packaging
claude plugin install repomix-safe-mixer@daymade-skills
# Full audio suite (ASR + transcript correction + meeting minutes + TTS)
claude plugin install daymade-audio@daymade-skills
# Video comparison and quality analysis
claude plugin install video-comparer@daymade-skills
# QA testing infrastructure with autonomous execution
claude plugin install qa-expert@daymade-skills
# Prompt optimization using EARS methodology
claude plugin install prompt-optimizer@daymade-skills
# CCPM skill registry search and management
claude plugin install daymade-skill@daymade-skills
# Promptfoo LLM evaluation framework
claude plugin install promptfoo-evaluation@daymade-skills
# iOS app development
claude plugin install iOS-APP-developer@daymade-skills
# Twitter/X content fetching
claude plugin install twitter-reader@daymade-skills
# Skill quality review and improvement
claude plugin install daymade-skill@daymade-skills
# GitHub contribution strategy
claude plugin install github-contributor@daymade-skills
# Windows Remote Desktop / AVD connection diagnosis
claude plugin install windows-remote-desktop-connection-doctor@daymade-skills
# Product analysis and optimization
claude plugin install product-analysis@daymade-skills
# Excel automation for creation, parsing, and macOS control
claude plugin install excel-automation@daymade-skills
# Programmatic macOS screenshot capture workflows
claude plugin install capture-screen@daymade-skills
# Scrapling CLI extraction and troubleshooting
claude plugin install scrapling-skill@daymade-skills
# Tencent IMA knowledge base companion and installer
claude plugin install ima-copilot@daymade-skills
# Export Douban (豆瓣) book/movie/music/game collections to CSV
claude plugin install douban-skill@daymade-skills
# Terraform operational traps and multi-environment reliability patterns
claude plugin install terraform-skill@daymade-skills
# Evaluate any LLM endpoint across speed, concurrency, protocol, and quality
claude plugin install llm-eval-harness@daymade-skills
Each skill can be installed independently - choose only what you need!
For Chinese users: We highly recommend using CC-Switch to manage Claude Code API provider configurations.
CC-Switch enables you to:
Setup: Download from Releases, install, add your API configs, and switch via UI or system tray.
For full documentation in Chinese, see README.zh-CN.md.
Comprehensive GitHub operations using gh CLI and GitHub API.
When to use:
Key features:
🎬 Live Demo
Install:
claude plugin install daymade-docs@daymade-skills(suite-only — invoked asdaymade-docs:doc-to-markdown)
Converts documents to markdown with Windows/WSL path handling and PDF image extraction.
When to use:
Key features:
🎬 Live Demo
Install:
claude plugin install daymade-docs@daymade-skills(suite-only — invoked asdaymade-docs:mermaid-tools)
Extracts Mermaid diagrams from markdown and generates high-quality PNG images.
When to use:
Key features:
🎬 Live Demo
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:statusline-generator)
Configures Claude Code statuslines with multi-line layouts and cost tracking.
When to use:
Key features:
🎬 Live Demo
Creates educational Teams channel posts for internal knowledge sharing.
When to use:
Key features:
🎬 Live Demo
Extracts files from repomix-packed repositories and restores directory structures.
When to use:
Key features:
🎬 Live Demo
Access 100+ AI model and LLM provider brand icons from lobe-icons library.
When to use:
Key features:
🎬 Live Demo
Generate professional animated CLI demos and terminal recordings with VHS automation.
When to use:
Key features:
🎬 Live Demo
Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering.
When to use:
Key features:
🎬 Live Demo
Extract design systems from reference UI images and generate implementation-ready design prompts.
When to use:
Key features:
🎬 Live Demo
Install:
claude plugin install daymade-docs@daymade-skills(suite-only — invoked asdaymade-docs:ppt-creator)
Create persuasive, audience-ready slide decks from topics or documents with data-driven charts and dual-format PPTX output.
When to use:
Key features:
🎬 Live Demo
Download YouTube videos and audio using yt-dlp with robust error handling and automatic workarounds for common issues.
When to use:
Key features:
🎬 Live Demo
Safely package codebases with repomix by automatically detecting and removing hardcoded credentials before packing.
When to use:
Key features:
🎬 Live Demo
Coming soon
Install:
claude plugin install daymade-audio@daymade-skills(suite-only — invoked asdaymade-audio:transcript-fixer)
Correct speech-to-text (ASR/STT) transcription errors through dictionary-based rules and AI-powered corrections with automatic pattern learning.
When to use:
Key features:
Example workflow:
# Initialize and add corrections
uv run scripts/fix_transcription.py --init
uv run scripts/fix_transcription.py --add "错误词" "正确词" --domain general
# Run full correction pipeline
uv run scripts/fix_transcription.py --input meeting.md --stage 3
# Review and approve learned patterns
uv run scripts/fix_transcription.py --review-learned
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-audio/transcript-fixer/references/ for workflow guides, SQL queries, troubleshooting, best practices, team collaboration, and API setup.
Requirements: Python 3.6+, uv package manager, GLM API key (get from https://open.bigmodel.cn/)
Compare two videos and generate interactive HTML reports with quality metrics and frame-by-frame visual comparisons.
When to use:
Key features:
Example usage:
# Basic comparison
python3 scripts/compare.py original.mp4 compressed.mp4
# Custom output and frame interval
python3 scripts/compare.py original.mp4 compressed.mp4 -o report.html --interval 10
# Batch processing
for original in originals/*.mp4; do
compressed="compressed/$(basename "$original")"
output="reports/$(basename "$original" .mp4).html"
python3 scripts/compare.py "$original" "$compressed" -o "$output"
done
🎬 Live Demo
Coming soon
📚 Documentation: See video-comparer/references/ for quality metrics interpretation, FFmpeg commands, and configuration options.
Requirements: Python 3.8+, FFmpeg/FFprobe (install via brew install ffmpeg, apt install ffmpeg, or winget install ffmpeg)
Establish world-class QA testing processes with autonomous LLM execution, Google Testing Standards, and OWASP security best practices.
When to use:
Key features:
Example usage:
# Initialize QA project (creates full infrastructure)
python3 scripts/init_qa_project.py my-app ./
# Calculate quality metrics and gates status
python3 scripts/calculate_metrics.py tests/TEST-EXECUTION-TRACKING.csv
# For autonomous execution, copy master prompt from:
# references/master_qa_prompt.md → paste to LLM → auto-executes 342 tests over 5 weeks
🎬 Live Demo
Coming soon
📚 Documentation: See qa-expert/references/ for:
master_qa_prompt.md - Single command for autonomous execution (100x speedup)google_testing_standards.md - AAA pattern, coverage thresholds, OWASP testingday1_onboarding.md - 5-hour onboarding timeline for new QA engineersground_truth_principle.md - Preventing doc/CSV sync issuesllm_prompts_library.md - 30+ ready-to-use QA promptsRequirements: Python 3.8+
💡 Innovation: The autonomous execution capability (via master prompt) enables LLM to execute entire test suites 100x faster than manual execution, with zero human error in tracking. Perfect for third-party QA handoffs - just provide the master prompt and they can start testing immediately.
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) - a methodology created by Rolls-Royce for converting natural language into testable requirements.
Methodology inspired by: 阿星AI工作室 (A-Xing AI Studio), which pioneered combining EARS with domain theory grounding for practical prompt enhancement.
When to use:
Key features:
Example usage:
# Before (vague)
"Build me a password reset feature"
# After EARS transformation (7 atomic requirements)
1. When user clicks "Forgot Password", the system shall display email input field
2. When user submits valid email, the system shall send password reset link valid for 1 hour
3. When user clicks reset link, the system shall verify token has not expired
4. When token is valid, the system shall display password creation form requiring minimum 12 characters, 1 uppercase, 1 number, 1 special character
5. When user submits new password meeting requirements, the system shall hash password with bcrypt and invalidate reset token
6. When user attempts password reset more than 3 times in 1 hour, the system shall block further attempts for 1 hour
7. If reset token has expired, the system shall display error message and option to request new link
# Enhanced with domain theories
- Zero Trust Architecture (verify at each step)
- Defense in Depth (rate limiting + token expiration + password complexity)
- Progressive Disclosure (multi-step UX flow)
# Full prompt includes Role, Skills, Workflows, Examples, Formats
🎬 Live Demo
Coming soon
📚 Documentation: See prompt-optimizer/references/ for:
ears_syntax.md - Complete EARS patterns and transformation rulesdomain_theories.md - 40+ theories mapped to domains with selection guidanceexamples.md - Full transformation examples with before/after comparisons💡 Innovation: EARS methodology eliminates ambiguity by forcing explicit conditions, triggers, and measurable criteria. Combined with domain theory grounding (GTD, BJ Fogg, Gestalt, etc.), it transforms "build a todo app" into a complete specification with behavioral psychology principles, UX best practices, and concrete test cases - enabling test-driven development from day one.
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:claude-code-history-files-finder)
Find and recover content from Claude Code session history files stored in ~/.claude/projects/.
When to use:
Key features:
Example usage:
# List recent sessions for a project
python3 scripts/analyze_sessions.py list /path/to/project
# Search sessions for keywords
python3 scripts/analyze_sessions.py search /path/to/project "ComponentName" "featureX"
# Recover deleted files from a session
python3 scripts/recover_content.py ~/.claude/projects/.../session.jsonl -k DeletedComponent -o ./recovered/
# Get session statistics
python3 scripts/analyze_sessions.py stats /path/to/session.jsonl --show-files
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-claude-code/claude-code-history-files-finder/references/ for:
session_file_format.md - JSONL structure and extraction patternsworkflow_examples.md - Detailed recovery and analysis workflowsInstall:
claude plugin install daymade-docs@daymade-skills(suite-only — invoked asdaymade-docs:docs-cleaner)
Consolidate redundant documentation while preserving all valuable content.
When to use:
Key features:
🎬 Live Demo
Coming soon
Search, discover, install, and manage Claude Code skills from the CCPM (Claude Code Plugin Manager) registry.
When to use:
Key features:
ccpm search <query>ccpm install <skill-name>@version syntaxccpm info <skill-name>Example usage:
# Search for skills
ccpm search pdf # Find PDF-related skills
ccpm search "code review" # Find code review skills
# Install skills
ccpm install skill-creator # From registry
ccpm install daymade/skill-creator # From GitHub
ccpm install skill-creator@1.0.0 # Specific version
# List and manage
ccpm list # List installed skills
ccpm info skill-creator # Get skill details
ccpm uninstall pdf-processor # Remove a skill
# Install bundles
ccpm install-bundle web-dev # Install web development skills bundle
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-skill/skills-search/SKILL.md for complete command reference
Requirements: CCPM CLI (npm install -g @daymade/ccpm)
Install:
claude plugin install daymade-docs@daymade-skills(suite-only — invoked asdaymade-docs:pdf-creator)
Create professional PDF documents from markdown with proper Chinese typography using WeasyPrint.
When to use:
Key features:
Example usage:
uv run --with weasyprint scripts/md_to_pdf.py input.md output.pdf
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-docs/pdf-creator/SKILL.md for setup and workflow details.
Requirements: Python 3.8+, pandoc (system install), weasyprint (or Chrome as fallback backend)
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:claude-md-progressive-disclosurer)
Optimize user CLAUDE.md files using progressive disclosure to reduce context bloat while preserving critical rules.
When to use:
Key features:
Example usage:
"Optimize my ~/.claude/CLAUDE.md using progressive disclosure and propose a plan."
🎬 Live Demo
Coming soon
📚 Documentation: See claude-md-progressive-disclosurer/SKILL.md.
Configure and run LLM evaluations with Promptfoo for prompt testing and model comparisons.
When to use:
Key features:
Example usage:
npx promptfoo@latest init
npx promptfoo@latest eval
npx promptfoo@latest view
🎬 Live Demo
Coming soon
📚 Documentation: See promptfoo-evaluation/references/promptfoo_api.md.
Requirements: Node.js (Promptfoo via npx promptfoo@latest)
Build, configure, and debug iOS apps with XcodeGen, SwiftUI, and Swift Package Manager.
When to use:
project.ymlKey features:
Example usage:
xcodegen generate
xcodebuild -destination 'platform=iOS Simulator,name=iPhone 17' build
🎬 Live Demo
Coming soon
📚 Documentation: See iOS-APP-developer/references/xcodegen-full.md.
Requirements: macOS + Xcode, XcodeGen
Fetch Twitter/X post content using Jina.ai API to bypass JavaScript restrictions without authentication.
When to use:
Key features:
Example usage:
# Set your Jina API key (get from https://jina.ai/)
export JINA_API_KEY="your_api_key_here"
# Fetch a single tweet
curl "https://r.jina.ai/https://x.com/USER/status/TWEET_ID" \
-H "Authorization: Bearer ${JINA_API_KEY}"
# Batch fetch multiple tweets
scripts/fetch_tweets.sh \
"https://x.com/user/status/123" \
"https://x.com/user/status/456"
# Fetch to file using Python script
python scripts/fetch_tweet.py https://x.com/user/status/123 output.md
🎬 Live Demo
Coming soon
📚 Documentation: See twitter-reader/SKILL.md for full details and URL format support.
Requirements:
The safest way to reclaim disk space on macOS. Analyze system caches, application remnants, large files, and development environments with intelligent categorization and interactive cleanup.
Why macos-cleaner stands out:
Our design principles:
When to use:
Key features:
What makes us different:
.git directories, node_modules, and build artifacts.Example usage:
# Install the skill
claude plugin install macos-cleaner@daymade-skills
# Ask Claude Code to analyze your Mac
"My Mac is running out of space, help me analyze what's using storage"
# Claude will:
# 1. Run comprehensive disk analysis
# 2. Present categorized findings with safety levels
# 3. Explain each category (caches, remnants, large files, dev tools)
# 4. Recommend cleanup approach
# 5. Execute ONLY what you confirm
# Example analysis output:
📊 Disk Space Analysis
━━━━━━━━━━━━━━━━━━━━━━━━
Total: 500 GB
Used: 450 GB (90%)
Available: 50 GB (10%)
🟢 Safe to Clean (95 GB):
- System caches: 45 GB (apps regenerate automatically)
- Homebrew cache: 5 GB (reinstalls when needed)
- npm cache: 3 GB (safe to clear)
- Old logs: 8 GB (diagnostic data only)
- Trash: 34 GB (already marked for deletion)
🟡 Review Recommended (62 GB):
- Large downloads: 38 GB (may contain important files)
- App remnants: 8 GB (verify apps are truly uninstalled)
- Docker images: 12 GB (may be in use)
- Old .git repos: 4 GB (verify project is archived)
🔴 Keep Unless Certain (0 GB):
- No high-risk items detected
Recommendation: Start with 🟢 Safe items (95 GB), then review 🟡 items together.
🎬 Live Demo
Coming soon
📚 Documentation: See macos-cleaner/references/ for:
cleanup_targets.md - Detailed explanations of every cleanup targetmole_integration.md - How to combine scripts with Mole visual toolsafety_rules.md - Comprehensive safety guidelines and what to never deleteRequirements:
Verify factual claims in documents using web search and official sources, then propose corrections with user confirmation.
When to use:
Key features:
Example usage:
# Install the skill
claude plugin install fact-checker@daymade-skills
# Fact-check a document
"Please fact-check this section about AI model capabilities"
# Verify technical specs
"Check if these Claude model specifications are still accurate"
# Update outdated info
"Verify and update the version numbers in this documentation"
🎬 Live Demo
Coming soon
📚 Documentation: See fact-checker/SKILL.md for full workflow and claim types.
Requirements:
Review and improve Claude Code skills against official best practices with three powerful modes.
When to use:
Key features:
Example usage:
# Install the skill
claude plugin install daymade-skill@daymade-skills
# Self-review your skill
"Validate my skill at ~/my-skills/my-awesome-skill"
# Review external skill repository
"Review the skills at https://github.com/user/skill-repo"
# Auto-PR improvements
"Fork, improve, and submit PR for https://github.com/user/skill-repo"
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-skill/skill-reviewer/references/ for:
evaluation_checklist.md - Complete skill evaluation criteriapr_template.md - Professional PR description templateStrategic guide for becoming an effective GitHub contributor and building your open-source reputation.
When to use:
Key features:
Contribution types explained:
Level 1: Documentation fixes (lowest barrier, high impact)
↓ (build familiarity)
Level 2: Code quality (medium effort, demonstrates skill)
↓ (understand codebase)
Level 3: Bug fixes (high impact, builds trust)
↓ (trusted contributor)
Level 4: Feature additions (highest visibility)
↓ (potential maintainer)
Example usage:
# Install the skill
claude plugin install github-contributor@daymade-skills
# Find good first issues
"Help me find projects with good first issues in Python"
# Write a high-quality PR
"Guide me through creating a PR for this bug fix"
# Build contribution strategy
"Help me plan a contribution strategy for building my GitHub profile"
🎬 Live Demo
Coming soon
📚 Documentation: See github-contributor/references/ for:
pr_checklist.md - Complete PR quality checklistproject_evaluation.md - How to evaluate projects for contributioncommunication_templates.md - Issue and PR communication templatesComplete internationalization/localization setup and auditing for UI codebases. Configure i18n frameworks, replace hard-coded strings with translation keys, ensure locale parity between en-US and zh-CN, and validate pluralization and formatting.
When to use:
Key features:
Example usage:
# Install the skill
claude plugin install i18n-expert@daymade-skills
# Setup i18n for a new project
"Set up i18n for my React app with English and Chinese support"
# Audit existing i18n implementation
"Audit the i18n setup and find missing translation keys"
# Replace hard-coded strings
"Replace all hard-coded strings in this component with i18n keys"
🎬 Live Demo
Coming soon
📚 Documentation: See i18n-expert/SKILL.md for complete workflow and architecture guidance.
Requirements:
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:claude-skills-troubleshooting)
Diagnose and resolve Claude Code plugin and skill configuration issues. Debug plugin installation, enablement, and activation problems with systematic workflows.
When to use:
Key features:
Example usage:
# Run diagnostic
python3 scripts/diagnose_plugins.py
# Batch enable missing plugins
python3 scripts/enable_all_plugins.py daymade-skills
🎬 Live Demo
Coming soon
📚 Documentation: See claude-skills-troubleshooting/SKILL.md for complete troubleshooting workflow and architecture guidance.
Requirements: None (uses Claude Code built-in Python)
Install:
claude plugin install daymade-audio@daymade-skills(suite-only — invoked asdaymade-audio:meeting-minutes-taker)
Transform meeting transcripts into high-fidelity, structured meeting minutes with iterative human review.
When to use:
Key features:
Example usage:
# Install the full audio suite (includes meeting-minutes-taker)
claude plugin install daymade-audio@daymade-skills
# Then provide a meeting transcript and request minutes
🎬 Live Demo
Coming soon
📚 Documentation: See daymade-audio/meeting-minutes-taker/SKILL.md for complete workflow and template guidance.
Requirements: None
Generate format-controlled research reports with evidence tracking and citations.
When to use:
Key features:
Example usage:
# Install the skill
claude plugin install deep-research@daymade-skills
# Then provide a report spec or template and request a deep research report
🎬 Live Demo
Coming soon
📚 Documentation: See deep-research/SKILL.md and deep-research/references/research_report_template.md for workflow and structure.
Requirements: None
Discover, clone, update, and analyze competitor repositories with evidence-based competitive intelligence. Repository-backed findings must come from local cloned code; market-landscape claims must cite their source and volatility.
When to use:
Key features:
$HOME/workspace/competitors/{product}/file:line_number)Example usage:
# Install the skill
claude plugin install competitors-analysis@daymade-skills
# Then ask Claude to analyze a competitor
"分析竞品 https://github.com/org/repo"
"添加竞品到 flowzero 产品的竞品列表"
"看看 claude-flow-viewer 这个方向最近有哪些竞品更新"
🎬 Live Demo
Coming soon
📚 Documentation: See competitors-analysis/SKILL.md and competitors-analysis/references/ for templates.
Requirements: Git (for cloning repositories)
Diagnose and fix conflicts when using Tailscale alongside proxy/VPN tools (Shadowrocket, Clash, Surge) on macOS. Covers four independent conflict layers with specific guidance for SSH access to WSL instances.
When to use:
git push/pull fails with "failed to begin relaying via HTTP"operation not permittedKey features:
check vs accept)Example usage:
# Install the skill
claude plugin install tunnel-doctor@daymade-skills
# Then ask Claude to diagnose
"Tailscale ping works but SSH times out"
"Fix Tailscale and Shadowrocket route conflict on macOS"
"git push fails with failed to begin relaying via HTTP"
"Set up Tailscale SSH to my WSL instance"
🎬 Live Demo
Coming soon
📚 Documentation: See tunnel-doctor/references/proxy_conflict_reference.md for per-tool configuration and conflict architecture.
Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365) connection quality issues on macOS, with focus on transport protocol optimization (UDP Shortpath vs WebSocket fallback).
When to use:
Key features:
Example usage:
# Install the skill
claude plugin install windows-remote-desktop-connection-doctor@daymade-skills
# Then ask Claude to diagnose
"My VDI connection shows WebSocket instead of UDP, RTT is 165ms"
"Diagnose why RDP Shortpath is not working"
"Windows App transport protocol stuck on WebSocket"
🎬 Live Demo
Coming soon
📚 Documentation: See windows-remote-desktop-connection-doctor/references/ for log analysis patterns and AVD transport protocol details.
Run a scalable, evidence-driven product audit using parallel Claude Code agents and optional Codex CLI parallelization. Covers UX, API, architecture, and competitive benchmark workflows with quantified findings and priority recommendations.
When to use:
Key features:
codex availability)full, ux, api, arch, comparecompetitors-analysisExample usage:
# Install the skill
claude plugin install product-analysis@daymade-skills
# Then ask Claude for analysis
"Run product-analysis in full mode for launch audit"
"Do a UX audit and report quantified navigation findings"
"Run API audit and identify unused endpoints"
"Compare this product with our top competitors"
🎬 Live Demo
Coming soon
📚 Documentation: See product-analysis/SKILL.md and product-analysis/references/analysis_dimensions.md for dimension definitions and workflow guidance.
Requirements: Optional codex CLI (for multi-model parallel mode). Skill runs with Claude only if codex is not installed.
Install:
claude plugin install daymade-financial@daymade-skills(suite-only — invoked asdaymade-financial:financial-data-collector)
Collect real financial data for any US publicly traded company from free public sources (yfinance). Output structured JSON with market data, historical financials (income statement, cash flow, balance sheet), WACC inputs, and analyst estimates - ready for downstream DCF modeling, comps analysis, or earnings review.
When to use:
Key features:
null with _source attribution, never default valuesExample usage:
# Install the suite
claude plugin install daymade-financial@daymade-skills
# Then ask Claude to collect data
"Collect financial data for META"
"Get financials for AAPL --years 3"
"Pull DCF inputs for NVDA"
🎬 Live Demo
Coming soon
📚 Documentation: See financial-data-collector/SKILL.md, output-schema.md, and yfinance-pitfalls.md.
Requirements: Python 3.11+, yfinance, pandas (auto-installed via uv inline dependencies).
Create professionally formatted Excel files, parse complex .xlsm models with stdlib XML/ZIP workflows, and control Microsoft Excel windows on macOS via AppleScript.
When to use:
.xlsm files that fail in openpyxlKey features:
openpyxlzipfile + xml.etree (no heavy dependencies)definedNames repair workflow for problematic filesExample usage:
# Install the skill
claude plugin install excel-automation@daymade-skills
# Then ask Claude to automate Excel workflows
"Create a formatted valuation template workbook"
"Parse this .xlsm and extract the DCF sheet"
"Generate an AppleScript sequence to zoom and scroll Excel before screenshot"
🎬 Live Demo
Coming soon
📚 Documentation: See excel-automation/SKILL.md and formatting-reference.md.
Requirements: Python 3.8+, uv, openpyxl (auto via uv run --with openpyxl), macOS for AppleScript window control.
Capture application windows by CGWindowID with a reliable three-step workflow: discover window IDs via Swift, control app state via AppleScript, and capture outputs with screencapture.
When to use:
Key features:
CGWindowListCopyWindowInfo)Example usage:
# Install the skill
claude plugin install capture-screen@daymade-skills
# Then ask Claude to capture windows programmatically
"Find the Excel window ID and capture it silently"
"Create a multi-shot capture workflow for this workbook"
"Capture Chrome window sections with scripted scrolling"
🎬 Live Demo
Coming soon
📚 Documentation: See capture-screen/SKILL.md.
Requirements: macOS (Swift + AppleScript + screencapture).
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:continue-claude-work)
Recover actionable context from local ~/.claude session artifacts and continue implementation without reopening the old interactive session. Uses a bundled Python script for intelligent context extraction.
When to use:
.claude JSONL files instead of running claude --resumeKey features:
Example usage:
# Then ask Claude to resume from local artifacts
"continue work from session 123e4567-e89b-12d3-a456-426614174000"
"don't resume, just read the .claude files and continue"
"check what I was working on in the last session and keep going"
📚 Documentation: See continue-claude-work/SKILL.md.
Requirements: Python 3.8+, git for workspace reconciliation.
Install, troubleshoot, and use Scrapling CLI with a verified static-first workflow for extracting HTML, Markdown, or text from webpages. Includes a diagnostic script for broken extras installs, Playwright browser runtime checks, and smoke tests against real URLs.
When to use:
uv tool install scrapling, or scrapling extractmp.weixin.qq.com)Key features:
diagnose_scrapling.py script for CLI, browser runtime, and live URL smoke testsextract get, escalate to extract fetch only when needed#js_content for clean article Markdownclick, Playwright runtime setup, and curl: (60) trust-store failuresExample usage:
# Install the skill
claude plugin install scrapling-skill@daymade-skills
# Then ask Claude to work through Scrapling for you
"Install Scrapling CLI and verify the setup"
"Extract this WeChat article into Markdown with Scrapling"
"Decide whether this page needs static or browser-backed fetching"
🎬 Live Demo
Coming soon
📚 Documentation: See scrapling-skill/SKILL.md and scrapling-skill/references/troubleshooting.md.
Requirements: Python 3.6+, uv, Scrapling CLI, and Playwright browser runtime for browser-backed fetches.
One-stop wrapper for the official Tencent IMA skill (ima.qq.com). Installs upstream ima-skill to Claude Code, Codex, and OpenClaw via npx skills add, guides API key setup, detects and repairs known upstream issues under user consent, and implements a personalized fan-out search strategy that floats priority knowledge bases to the top.
When to use:
Skipped loading skill(s) due to invalid SKILL.md warnings related to ima-skillKey features:
~/.config/ima/{client_id, api_key} with env-var fallbackscripts/diagnose.sh read-only health check (install presence, credential liveness, known issues)scripts/search_fanout.py client-side cross-KB search with priority lists, subset-skip lists, and 100-hit silent-truncation detectionMODULE.md or prepend minimal frontmatter)~/.config/ima/copilot.json with illustrative-only template valuesExample usage:
# Install the skill
claude plugin install ima-copilot@daymade-skills
# Then ask Claude to drive the flow
"Install ima-skill and configure my IMA API key"
"Run diagnose on my ima-skill and fix whatever is broken"
"Search my IMA knowledge bases for embedding model comparisons, priority to my curated KB"
🎬 Live Demo
Coming soon
📚 Documentation: See ima-copilot/SKILL.md and ima-copilot/references/known_issues.md.
Requirements: Node.js 18+ (for npx skills), curl, unzip, Python 3.6+. IMA OpenAPI credentials from https://ima.qq.com/agent-interface.
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:claude-export-txt-better)
Reconstruct broken line wrapping in Claude Code exported .txt conversation files. Rebuilds tables, paragraphs, paths, and tool calls that were hard-wrapped at fixed column widths, and ships with an automated 53-check validation suite (file-agnostic, catches over- and under-merging regressions).
When to use:
YYYY-MM-DD-HHMMSS-*.txt/export output before sharing or archiving itKey features:
fix-claude-export.py) with --stats mode for before/after metricsvalidate-claude-export-fix.py) that catches regressionsuv and Python 3.8+Example usage:
# Fix and show stats
uv run daymade-claude-code/claude-export-txt-better/scripts/fix-claude-export.py broken.txt --stats
# Custom output path
uv run daymade-claude-code/claude-export-txt-better/scripts/fix-claude-export.py broken.txt -o fixed.txt
# Validate the fix
uv run daymade-claude-code/claude-export-txt-better/scripts/validate-claude-export-fix.py broken.txt fixed.txt
🎬 Live Demo
Coming soon
📚 Documentation: See claude-export-txt-better/SKILL.md and the bundled evals/ fixtures.
Requirements: Python 3.8+, uv package manager.
Export and sync Douban (豆瓣) book / movie / music / game collections to local CSV files via the reverse-engineered Frodo API. Full export covers all history; RSS incremental sync keeps daily updates current. No login, no cookies, no browser — just a user ID and it works.
When to use:
Key features:
.gitleaks.toml allowlist for the public Android APK credentialsExample usage:
# Full export of user's collections
uv run douban-skill/scripts/douban-frodo-export.py <douban-user-id>
# Incremental RSS sync (last ~10 items per category)
uv run douban-skill/scripts/douban-rss-sync.py <douban-user-id>
🎬 Live Demo
Coming soon
📚 Documentation: See douban-skill/SKILL.md and douban-skill/references/troubleshooting.md for the complete failure log of rejected approaches.
Requirements: Python 3.8+, uv package manager. No login or cookies required.
Failure patterns from real Terraform deployments — every item caused an actual incident. Organized as exact error → root cause → copy-paste fix. Covers provisioner timing races, SSH connection conflicts, multi-environment isolation, DNS record duplication, volume permissions, database bootstrap gaps, snapshot cross-contamination, Cloudflare credential format errors, hardcoded domains in Caddyfiles/compose, and init-data-only-on-first-boot pitfalls.
When to use:
null_resource provisioners or remote-exec blocks that SSH into fresh instancesterraform applyKey features:
.hcl snippets for each trap, not abstract adviceExample usage:
# Trigger the skill naturally during Terraform work
"I'm getting 'docker: not found' in my null_resource provisioner after apply"
"My rsync local-exec is failing with 'connection unexpectedly closed'"
"Help me write a multi-env Terraform setup without snapshot cross-contamination"
🎬 Live Demo
Coming soon
📚 Documentation: See terraform-skill/SKILL.md and the bundled references/ for detailed remediation patterns.
Requirements: None (Terraform-adjacent knowledge only; no runtime dependencies).
Guides users through structured narrative design (ABCDEFG model), then delegates visual generation to baoyu-slide-deck. Focuses on what machines can't do — narrative co-design with humans.
When to use:
Key features:
Example usage:
# Trigger the skill naturally
"Help me turn my article into a slide deck"
"Create a presentation from my talk transcript"
"I need a 20-minute deck for a workshop"
Requirements: baoyu-slide-deck skill for visual generation.
Falsification-first methodology for network, streaming, and protocol-layer bugs where the obvious cause is probably wrong. Built from a real 5-hour SSE incident where assumption-stacking wasted hours that a 10-minute layered experiment would have resolved.
When to use:
ECONNRESET, HTTP/2 RST_STREAM, INTERNAL_ERROR)ERR_CONNECTION_CLOSED, SSL_ERROR_SYSCALL, fake TUN DNS IPs, CNAME-based rule overrides)UNKNOWN_CERTIFICATE_VERIFICATION_ERROR, wrong-site certificate)Key features:
layered-isolation-probe.sh, mock-idle-upstream.py)ERR_CONNECTION_CLOSEDRequirements: None (methodology + portable shell/Python probes).
Install:
claude plugin install daymade-audio@daymade-skills(suite-only — invoked asdaymade-audio:stepfun-tts)
Generate Chinese / Japanese speech with stepaudio-2.5-tts. Captures the two non-obvious TTS pitfalls that cost hours otherwise: voice_label removal (replaced by natural-language instruction) and stricter 2.5-era censorship (死/消失/political terms).
When to use:
censorship_block fallbackstep-tts-2 to stepaudio-2.5-tts (voice_label → instruction breaking change)Key features:
stepaudio-2.5-tts with instruction (≤200 chars natural-language mood) + inline () prosodytts_generate.py (with --batch <jsonl>) and ab_compare.sh$STEPFUN_API_KEY → ${CLAUDE_PLUGIN_DATA}/config.json fallbackreferences/migration_from_v2.mdRequirements: StepFun API key, "Normal" tier (https://platform.stepfun.com/). For ASR / transcription, use the sibling stepfun-asr skill below.
Install:
claude plugin install daymade-audio@daymade-skills(suite-only — invoked asdaymade-audio:stepfun-asr)
Transcribe Chinese / English audio with stepaudio-2.5-asr. Hides the #1 trap of the 2.5 ASR family: it does NOT live on /v1/audio/transcriptions — the wrong endpoint returns a misleading model stepaudio-2.5-asr not supported error that looks identical to a permission/whitelist failure.
When to use:
step-asr / step-asr-1.1 (different endpoint, different body shape, SSE response)model stepaudio-2.5-asr not supported error (= wrong endpoint, not permission)Key features:
/v1/audio/asr/sse SSE streaming with base64 audio + nested JSON body (the script handles all four traps)asr_transcribe.py — pure-stdlib CLI, auto-detects mp3/wav/ogg/opus/pcm by extensionerror events (censorship can fire on ASR side too — rare but real)$STEPFUN_API_KEY → ${CLAUDE_PLUGIN_DATA}/config.json fallbacktranscript-fixer (ASR error correction) and meeting-minutes-taker (structured minutes) as natural downstream skillsRequirements: StepFun API key, "Normal" tier (https://platform.stepfun.com/). Plan keys cannot call audio endpoints.
Turn "it won't run" into "it's running" without requiring users to understand git, uv, ffmpeg, or API keys. Designed for non-technical teammates (editors, business, ops) who need to clone a repo and get it working — and for technical users who want standardized, handoff-ready project onboarding.
When to use:
Key features:
init_session_start_hook.py sets up auto-environment-check on every Claude Code session entrycheck_env.py (audit git/ffmpeg/uv/python/.env), sanitize_history.sh (scan history for secrets/paths/domains), init_session_start_hook.pyExample usage:
# Install the skill
claude plugin install auto-repo-setup@daymade-skills
# Then ask Claude naturally
"我跑不起来这个仓库"
"帮我设置一下这个项目的环境"
"初始化 SessionStart hook"
"git push 被拒了"
Requirements: Python 3.8+, uv package manager. No external API keys required for the skill itself.
Render a terminal CLI program's colored output to a PNG so Claude can actually see the rendered result — color contrast, alignment, background blocks, highlighting — instead of only reading plain text and raw ANSI escape codes. Reading a hex value is guessing; seeing the rendered contrast on the real terminal background is verification.
When to use:
Key features:
render_ansi.sh (freeze/Chrome auto-select), ansi2html.py (stdlib renderer)Example usage:
# terminal-screenshot lives in the daymade-claude-code suite
claude plugin install daymade-claude-code@daymade-skills
# Then ask Claude naturally
"verify my delta diff colors"
"看一下这个终端配色的真实效果"
"is the add/remove contrast in git diff strong enough?"
Requirements: macOS. charmbracelet/freeze (preferred renderer) or Google Chrome (fallback). Python 3 for the fallback renderer.
Convert a PDF into one self-contained, readable HTML file that preserves images, charts and reading order — optionally translating it into another language while keeping every figure. A PDF is a layout, not just a text stream, so the workflow renders each page for you to see before building, and renders the HTML for visual verification before delivery.
When to use:
Key features:
Example usage:
# pdf-to-html lives in the daymade-docs suite
claude plugin install daymade-docs@daymade-skills
# Then ask Claude naturally
"把这个 PDF 转成中文网页版"
"make this report readable as HTML"
"translate this PDF to English but keep the charts"
Requirements: uv, Google Chrome or Chromium (visual verification). Python packages (PyMuPDF, Pillow, numpy) auto-install via uv run --with.
Install:
claude plugin install daymade-audio@daymade-skills(suite-only — invoked asdaymade-audio:asr-transcribe-to-text)
Transcribe audio and video files to text using Qwen3-ASR via two interchangeable inference paths: local MLX on macOS Apple Silicon (no API key, 15-27x realtime) or a remote vLLM/OpenAI-compatible API for any platform. Auto-detects the platform and recommends the best path, persisting the choice in ${CLAUDE_PLUGIN_DATA}/config.json.
When to use:
Key features:
transcribe_local_mlx.py loads the model once and processes files sequentially (no GPU contention)max_tokens=200000 to defeat the upstream mlx-audio 8192-token truncation that silently cuts audio past ~40 minutesoverlap_merge_transcribe.py splits into 18-minute chunks with 2-minute overlap and fuzzy-mergestranscript-fixer to clean ASR recognition errors on the outputExample usage:
# asr-transcribe-to-text lives in the daymade-audio suite
claude plugin install daymade-audio@daymade-skills
# Then ask Claude naturally
"transcribe this meeting recording to text"
"把这个录音转成文字"
"convert lecture.mp4 to a transcript"
Requirements: uv, ffmpeg/ffprobe. Local MLX path needs macOS Apple Silicon; remote path needs a reachable vLLM/OpenAI-compatible ASR endpoint. No API key for local mode.
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:marketplace-dev)
Convert any Claude Code skills repository into an official plugin marketplace so users can install skills via claude plugin marketplace add and get auto-updates. Generates a spec-conforming .claude-plugin/marketplace.json, validates with claude plugin validate, tests real installation, and opens an upstream PR — encoding hard-won schema, version, and description anti-patterns.
When to use:
claude plugin installmarketplace.json (plugin distribution, one-click install, auto-update)Unrecognized key: "$schema" or duplicate plugin namesKey features:
$schema is rejected, metadata has only 3 valid fields, strict: false semantics, single-skill vs suite source/skills patternscheck_marketplace.sh runs four checks (JSON syntax → claude plugin validate → source/skills resolution → reverse sync) and exits non-zero on failuresource produced the intended snapshotmarketplace.json edit; warn on un-bumped version when a SKILL.md changes) that auto-activate with the pluginExample usage:
# marketplace-dev lives in the daymade-claude-code suite
claude plugin install daymade-claude-code@daymade-skills
# Then ask Claude naturally
"turn this skills repo into a plugin marketplace"
"generate a marketplace.json for this repo and validate it"
"add my new skill to the marketplace and open a PR"
Requirements: claude CLI (for claude plugin validate / install tests), jq. Git remotes configured if opening an upstream PR.
Install:
claude plugin install daymade-skill@daymade-skills(suite-only — invoked asdaymade-skill:skill-creator)
The essential meta-skill for building your own skills. Guides the full create → test → review → improve loop: drafts a SKILL.md, generates realistic test prompts, runs the skill against a baseline, helps evaluate results qualitatively and quantitatively, and iterates. Also optimizes a skill's description for better triggering accuracy.
When to use:
Key features:
context: fork decision guide (subagents can't spawn subagents or call skills) and composable/orthogonal skill designinit_skill.py scaffolding, package_skill.py (auto-validates), and security_scan.py (gitleaks-based secret/PII detection)Example usage:
# skill-creator lives in the daymade-skill suite
claude plugin install daymade-skill@daymade-skills
# Then ask Claude naturally
"create a skill that does X"
"improve this skill's description so it triggers more reliably"
"benchmark this skill against a no-skill baseline"
Requirements: Python 3, uv, PyYAML (validation/packaging), gitleaks (security scan). claude CLI for eval/description-optimization runs.
Extract Feishu (Lark) Docs, Wiki pages/collections, spreadsheets (including cell-attachment file download), and Minutes (妙记) transcripts into faithful local Markdown. The primary path uses the lark-cli API — it extracts the document body programmatically (no model paraphrasing), recursively follows a collection's reference graph, and reads permission boundaries from error codes; a browser-DOM path is the fallback only when lark-cli cannot reach the content.
When to use:
.docx into faithful Markdown with heading/highlight restorationKey features:
jq (never retyped by the model — the single most important fidelity rule)feishu_extract_refs.py, plus a residual rich-media-tag acceptance gate so no referenced doc is silently missed.docx → Markdown with font-size→heading and w:shd→highlight restoration, then visual verificationLARK_CLI_NO_PROXY=1 discipline for *.feishu.cn (avoids credential leak/DNS hijack) and a U+FFFD encoding-corruption final checkExample usage:
# Install the skill
claude plugin install feishu-doc-scraper@daymade-skills
# Then ask Claude naturally
"把这个飞书合集导出成 markdown"
"export this Feishu Minutes transcript"
"save this Lark wiki page as Markdown"
Requirements: lark-cli binary (npm @larksuite/cli) authenticated to the target tenant; jq. Fallback path needs a browser-automation surface; the docx path needs python-docx and a docx→md converter (the bundled doc-to-markdown skill or pandoc).
Install:
claude plugin install daymade-financial@daymade-skills(suite-only — invoked asdaymade-financial:bigdata-skill)
Pull Bigdata.com (RavenPack) financial and news data through the official bigdata-client SDK and its public /v1/* REST endpoints — reaching the structured substrate the Bigdata MCP server doesn't hand over. The MCP returns prose chunks and pre-synthesized tearsheets; this toolkit reaches structured financials, prices, analyst estimates, a daily entity-sentiment series, annotated chunk search with sentiment + entity spans, and a screener.
When to use:
bd_v2_ API key, rp_entity_id, query_unit/chunk cost, bigdata-client, or "the bigdata MCP isn't enough"Key features:
BigdataClient exposing both the SDK (search + knowledge graph) and a REST escape hatch (bd._api.http) for every /v1/* endpoint the SDK never wrappedfields_values_to_records() to flatten {fields, values} responses1 query_unit = 10 chunks, only chunk-search billed, ChunkLimit (never a bare int), rerank thresholds, 50%-cheaper batch search, and a CostModel/CostTracker budget vetorc() SSL-retry wrapper for the common first-handshake SSL: UNEXPECTED_EOF, plus a known-pitfalls reference with reproductions and fixesBIGDATA_API_KEY (no plaintext fallback); read-only, never writes/uploadsExample usage:
# Install the suite
claude plugin install daymade-financial@daymade-skills
export BIGDATA_API_KEY=bd_v2_xxxxxxxx
# Then ask Claude naturally
"pull NVIDIA's forward analyst estimates and last earnings surprise from Bigdata"
"give me a daily entity-sentiment series for this ticker"
"the bigdata MCP only gave me a tearsheet — I need the structured fields"
Requirements: A bd_v2_ Bigdata.com API key (env var, never hardcoded), uv, the official bigdata-client SDK in an isolated venv. Optional outbound/WSS proxy only if your network needs one to reach api.bigdata.com.
Install:
claude plugin install daymade-financial@daymade-skills(suite-only — invoked asdaymade-financial:gangtise-copilot)
One-command installer, credential configurator, and diagnostic layer for the full Gangtise (岗底斯投研) OpenAPI skill suite. Installs all 19 official Gangtise skills (data, research, utility), configures accessKey/secretAccessKey with a live auth check, and runs a read-only health diagnostic — solving the suite's core discoverability problem (no public manifest, listing-disabled OBS bucket, two parallel naming lines).
When to use:
gangtise-* skilltoken is invalid / 接口地址错误, or "my gangtise install is broken"Key features:
install_gangtise.sh downloads 4 OBS bundles → extracts 19 skill directories → symlinks them into detected agent skills dirs (Claude Code, OpenClaw, Codex), with minimal/workshop/full/--only presetsconfigure_auth.sh writes one shared XDG credential file (mode 600), runs a live auth call, and symlinks every skill's .authorization to it (rotate one file, not 19)diagnose.sh reports install state, credential validity, and scoped capability tiers (auth scope vs RAG scope)Example usage:
# Install the suite
claude plugin install daymade-financial@daymade-skills
# Then ask Claude naturally
"装一下 gangtise 的所有 skill 并配置好凭据"
"my gangtise skills report token is invalid — diagnose it"
"宁德时代的研报用哪个 gangtise skill 查"
Requirements: A Gangtise accessKey + secretAccessKey; bash, curl, network access to the official OBS bucket and open.gangtise.com. Works with Claude Code, OpenClaw, and Codex agent layouts.
Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — built by interviewing them rather than handing over a template. Pure markdown + [[wikilinks]], NO RAG / vector DB (Karpathy's core idea — do not over-engineer). The value is extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
When to use:
Key features:
init_vault.py scaffolds the mechanism layer only (no schema), then an 8-dimension interview builds the user's own CLAUDE.md in their own wordslint-vault.py keep the vault consistent and fight derived-value driftanalyst-track-record skill and Bash) and chains into analyst-track-record for analyst back-testing — without rebuilding itExample usage:
# Install the skill
claude plugin install llm-wiki-setup@daymade-skills
# Then ask Claude naturally
"帮我搭一个投研第二大脑"
"build me a personal investment-research wiki in Karpathy's style"
"ingest this earnings call into my research vault"
Requirements: Python 3, uv (for init_vault.py / lint), git. Markdown + wikilinks only — no vector DB or embedding service. Pairs with the analyst-track-record skill for back-testing.
Run adversarial due-diligence on a benchmark the user envies — a founder, KOL, company, or product whose claimed success looks inflated — separating marketing bubble from real signal, then mapping the validated playbook onto the user's own resources. The adversarial, decision-oriented cousin of deep-research: it assumes the picture is inflated until proven otherwise and ends in "what this means for ME", not a neutral report.
When to use:
deep-research's neutral briefingKey features:
坐实/存疑/证伪-水分 verdicts) → due-diligence conclusion (bubble-busting table + attribution breakdown) → commissioner resource-mappingdeep-research fan-out, osint-investigate identity checks, the qcc family for 工商 data, agent-reach for social-platform data)context: fork would silently break the fan-out)Example usage:
# Install the skill
claude plugin install benchmark-due-diligence@daymade-skills
# Then ask Claude naturally
"帮我尽调一下这个创始人，他到底有没有水分"
"tear down this competitor's playbook and tell me what I can actually copy"
"this KOL claims 0-to-1M users — is that real, and is it replicable for me?"
Requirements: Web access for the collection/verification agents. Optionally composes with deep-research, osint-investigate, the qcc skill family, and agent-reach; renders a shareable report via pdf-creator.
Fetch real, citable data for any Bilibili (B站) video — title, UP follower count, publish date, tags, partition, per-part cids, live stats (view/like/coin/favorite/share/reply/danmaku), and full danmaku (bullet-comment) text — in one view/detail call, login-free. Built so engagement numbers are cheap to fetch and impossible to fake, instead of hand-typed into a doc where they rot.
When to use:
av number, b23.tv short link, or full URL — all normalized automaticallyKey features:
bili-fetch.sh returns full metadata + live stats + UP fans + tags + every part's cid; metrics carry a fetched_at timestamp because they drift in real timebili-danmaku.sh pulls and decompresses the danmaku full text; bili-subs.sh handles the login-gated subtitle track (asks before touching browser cookies)bili-selftest.sh health-check verifies every endpoint against the live API, so API drift surfaces as one clear FAIL instead of a silent wrong answerspace/wbi/* extensionExample usage:
# Install the skill
claude plugin install bilibili-source@daymade-skills
# Then ask Claude naturally
"pull the real view/like/favorite counts for this B站 video so I can cite them"
"这个 B站 视频弹幕里大家在说什么？"
"grab the subtitle transcript from this bilibili video so I can summarize it"
Requirements: curl, jq, python3 (danmaku decompression). yt-dlp only for the login-gated subtitle path. No login for stats / metadata / danmaku.
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:claude-usage-analyst)
Turn local ccusage data into an evidence-based, human-readable explanation of where your Claude Code / Claude Desktop tokens, cost, and quota went — separating observed numbers from interpretation instead of guessing.
When to use:
fable / opus / sonnet) is unusually expensive for your workloadKey features:
analyze_claude_usage.py summarizes tokens, cost, input/output, and cache create/read over any date window and timezone--model-a / --model-b) weighs both token volume and estimated cost — a model can be cheap per token but expensive overallccusage output; cache-read pressure is counted even when you never typed those tokensccusage claude measures local Claude Code logs, not a full Claude.ai chat billExample usage:
# Install the suite
claude plugin install daymade-claude-code@daymade-skills
# Then ask Claude naturally
"why did my Claude quota run out today?"
"is opus more expensive than sonnet for what I'm doing?"
"break down my Claude Code token usage for this month"
Requirements: ccusage (via npm i -g ccusage or npx ccusage@latest), python3.
claude plugin install marketplace-health-check@daymade-skills
Run a comprehensive, evidence-based health check of this skills marketplace repo with a parallel fan-out Dynamic Workflow — six inspectors cover code/script safety, documentation/SSOT consistency, security/PII leaks, open-PR triage, open-issue triage, and marketplace-manifest integrity at once — then the serious findings are Counter-Reviewed before they reach the report.
When to use:
Key features:
Example usage:
# Install
claude plugin install marketplace-health-check@daymade-skills
# Then ask Claude naturally
"do a full health check of this repo before I cut a release"
"audit the marketplace — code, docs, PII, PRs, issues, everything"
"全面体检一下这个仓库"
Requirements: gh CLI (authenticated), git, jq, python3; opt-in to the Workflow tool (asking to run the health check is the opt-in).
claude plugin install daymade-claude-code@daymade-skills
Set up multiple isolated Claude Code CLI profiles so you can run different LLM providers (Kimi, GLM, DeepSeek, StepFun, Anthropic) in separate terminal windows at the same time — each profile gets its own claude.json state while sharing skills, projects, hooks, and agents.
When to use:
Key features:
~/.config/claude-switch-models-setup/~/.claude/settings/<provider>.json templates with required isolation flagsclaude-profiles-init creates isolated ~/.claude-profiles/<provider>/ directories with symlinked shared resourcesExample usage:
# Install the suite
claude plugin install daymade-claude-code@daymade-skills
# Then ask Claude naturally
"set up Claude Code profiles for Kimi and DeepSeek"
"I want to run Kimi and Anthropic in separate terminals"
"install the multi-provider profile setup from the workshop"
Requirements: claude CLI, zsh or bash, python3, plus API keys for the providers you want to use.
claude plugin install llm-eval-harness@daymade-skills
Evaluate any LLM behind an OpenAI- or Anthropic-compatible endpoint across four dimensions — instead of trusting a vendor's headline numbers — and report measured results separately from inferred ones.
When to use:
Key features:
speed_probe.py — TTFT + thinking-aware tokens/sec), concurrency/stability (concurrency_probe.py — success rate, p50/p90, breaking point), Anthropic protocol compliance (protocol_probe.py — thinking-block trigger rate over N≥10), and quality regression (usecase_runner.py + independent blind judges)reasoning_content separately so reasoning tokens don't inflate tok/s (the trap that once read a ~750 tok/s model as 4700)fully-implemented / intermittent (k/N) / not-implemented, never concluding from a single sample, with Connection: close so a load balancer can't pin all samples to one replica--key-env MY_KEY) — the key never appears in ps, shell history, or a saved report~/.llm-eval/usecases.json) so it survives skill updates and never lands in a public repoExample usage:
export MY_KEY=sk-... # the key never appears in a command below
# Speed: real-task throughput + sustained decode ceiling
uv run --with openai python scripts/speed_probe.py \
--base-url https://api.example.com/v1 --model some-model --key-env MY_KEY --mode both
# Concurrency: ramp until it breaks
uv run --with aiohttp python scripts/concurrency_probe.py \
--url https://api.example.com/v1/chat/completions --model some-model \
--key-env MY_KEY --format openai --concurrency 10 20 40 60
🎬 Live Demo
Coming soon
📚 Documentation: See llm-eval-harness/references/evaluation_disciplines.md for the reasoning behind each discipline and llm-eval-harness/references/quality_blind_judge.md for the blind-judge method.
Requirements: Python 3.8+, uv; openai and aiohttp (auto-installed via uv run --with); an API key for the endpoint under test. Optionally composes with promptfoo-evaluation for rubric-based gating.
Install:
claude plugin install daymade-claude-code@daymade-skills(suite-only — invoked asdaymade-claude-code:read-claude-web-conversation)
Extract full Claude.ai web conversation content through the Claude Code operations suite when local browser/export paths are needed for recovery, auditing, or migration.
When to use:
Requirements: Installed daymade-claude-code suite and access to the relevant browser/session context.
claude plugin install setup-notifications-via-wecom@daymade-skills
Set up reusable WeCom (Enterprise WeChat) webhook notifications for technical status reports, alerts, and completion messages.
When to use:
Requirements: WeCom bot webhook URL and shell access.
claude plugin install notify-wecom@daymade-skills
Send a single WeCom group-bot message without setting up a reusable notification workflow.
When to use:
/notify-wecomRequirements: WeCom bot webhook URL.
claude plugin install github-sensitive-data-cleanup@daymade-skills
Scan and remove sensitive data from GitHub repository history, with backup, visibility checks, and force-push safety gates.
When to use:
Requirements: git, GitHub access, and the relevant scanning/history-rewrite tools for the target repository.
claude plugin install codex-image-gallery@daymade-skills
Start a self-contained local web gallery for Codex-generated image outputs. The skill bundles its Node server and HTML UI, scans ~/.codex/generated_images by default, and can point at another folder with GALLERY_ROOT.
When to use:
~/.codex/generated_imagesKey features:
scripts/server.mjs and assets/index.html/api/images scan; no hardcoded manifest/images/<relative-path> image route with path traversal protectionGALLERY_ROOT, PORT, and HOSTRequirements: Node.js 18+ and access to the image folder.
claude plugin install frontend-visual-qa@daymade-skills
Catch embarrassing rendered UI and share/export defects that normal lint/build checks miss.
When to use:
ui-designer, frontend-design, and qa-expertKey features:
claude plugin install openclaw@daymade-skills
Manage OpenClaw (龙虾/lobster) instance configurations — audit, diff, copy, add-model, list, and switch models across openclaw.json files.
When to use:
Key features:
--no-audit escape hatchclaude plugin install download-gemini-images@daymade-skills
Download images (uploaded files or generated previews) from a Google Gemini conversation page using your logged-in Chrome session, then package them into an ordered ZIP.
When to use:
Key features:
pageAssets fallback when lightbox automation failsclaude plugin install wps-doc-scraper@daymade-skills
Faithfully archive public WPS / KDocs / 金山文档 links — especially embedded ProcessOn mind maps and canvases — as raw source data, original SVG/PNG, and Markdown, without logging in.
When to use:
kdocs.cn or wps.processon.com link to scrape, save, download, or convert to MarkdownKey features:
Install:
claude plugin install daymade-financial@daymade-skills(suite-only — invoked asdaymade-financial:ashare-news-fetcher)
Aggregate A-share (Chinese stock market) news, policy, and sentiment from public sources — 财联社, 华尔街见闻, 金十, 新浪 7x24, 东财快讯, regulator announcements (CSRC / PBoC / SSE), 东方财富股吧 — into structured JSON or Markdown.
When to use:
Key features:
claude plugin install local-codex@daymade-skills
Delegate coding tasks to the local OpenAI Codex CLI agent using your ChatGPT Pro OAuth flat-rate subscription. Wraps codex exec / codex review for code generation, refactoring, and review without per-token API charges.
When to use:
codex exec for non-interactive coding tasksKey features:
~/.codex/auth.json (no API keys)claude plugin install openclaw-model-switch@daymade-skills
Switch the default AI model for an OpenClaw instance (e.g., Kimi K2.6 → K2.7) by safely editing openclaw.json with automatic backup, model validation, and optional gateway restart.
When to use:
Key features:
Install:
claude plugin install daymade-financial@daymade-skills(suite-only — invoked asdaymade-financial:pharma-daily-report)
Generate an A-share pharmaceutical sector daily report — pull real-time quotes for core pharma stocks from Sina Finance, rank 7 sub-sectors, top gainers/losers, and estimated fund flow, then optionally push a rich-text report via Feishu.
When to use:
Key features:
Install:
claude plugin install gemini-history-analyzer@daymade-skills
Analyze Google Takeout exports of Gemini conversation history — extract and categorize transcripts and attachments, mine them for domain-specific insights with context-verified keyword search, and optionally distill findings into a personal knowledge base.
When to use:
Key features:
unar, not the corrupting macOS unzip)Install:
claude plugin install daymade-skill@daymade-skills(suite-only — invoked asdaymade-skill:skill-governance)
Keep Claude Code skill marketplaces and installed caches aligned with source repositories. Use it for read-only drift checks, source-backed syncs through official Claude plugin commands, old cache cleanup, and local-source marketplace switching.
When to use:
.claude-plugin/marketplace.json, source directories, and Claude/Codex installed skillsKey features:
claude plugin commands for sync operationsscripts/, references/, tests/, demos, and build outputs when checking published skill surfacesWant to see all demos in one place with click-to-enlarge functionality? Check out our interactive demo gallery or browse the demos directory.
Use github-ops to streamline PR creation, issue management, and API operations.
Combine doc-to-markdown for document conversion and mermaid-tools for diagram generation to create comprehensive documentation. Use llm-icon-finder to add brand icons.
Use deep-research to produce format-controlled research reports with evidence tables and citations. Combine with fact-checker to validate claims or with twitter-reader for social-source collection.
Use competitors-analysis to discover, persist, update, and analyze competitor repositories with evidence-based source citations. Combine with deep-research when the landscape also needs broader market, pricing, or narrative research.
Use pdf-creator to convert markdown to print-ready PDFs with proper Chinese font support for formal documents and reports.
Use teams-channel-post-writer to share knowledge and statusline-generator to track costs while working.
Use repomix-unmixer to extract and validate repomix-packed skills or repositories. Use repomix-safe-mixer to package codebases securely, automatically detecting and blocking hardcoded credentials before distribution.
Use skill-creator (see Essential Skill section above) to build, validate, and package your own Claude Code skills following best practices.
Use ppt-creator to generate professional slide decks with data visualizations, structured storytelling, and complete PPTX output for pitches, reviews, and keynotes. Use slides-creator for narrative-first slide design — it guides you through the ABCDEFG storytelling framework, collects your original content first, then delegates visual generation to baoyu-slide-deck. Perfect when you have existing articles, transcripts, or talks that need to become visual slides.
Use video-comparer to analyze compression results, evaluate codec performance, and generate interactive comparison reports. Combine with youtube-downloader to compare different quality downloads.
Use youtube-downloader to download YouTube videos and extract audio from videos with automatic workarounds for common download issues.
Use transcript-fixer to correct speech-to-text errors in meeting notes, lectures, and interviews through dictionary-based rules and AI-powered corrections with automatic learning.
Use the daymade-financial suite for the complete investment-research data pipeline. bigdata-skill pulls structured financials and sentiment from Bigdata.com (RavenPack) via the official SDK. financial-data-collector gathers US equity fundamentals from yfinance with validation and NO FALLBACK discipline. gangtise-copilot installs and orchestrates the full Gangtise (岗底斯) OpenAPI research suite. ashare-news-fetcher aggregates A-share news, policy, and sentiment from Chinese public sources. pharma-daily-report generates pharmaceutical sector daily reports with real-time quotes and fund-flow analysis.
Use excel-automation to create formatted workbooks, parse complex .xlsm models, and automate Excel window controls for repetitive analyst workflows.
Use capture-screen to script repeatable app-window screenshots. Combine with excel-automation to generate report-ready workbook visuals.
Use meeting-minutes-taker to transform raw meeting transcripts into structured, evidence-based minutes. Combine with transcript-fixer to clean up ASR errors before generating minutes. Features multi-pass generation with UNION merge to avoid content loss.
Use qa-expert to establish comprehensive QA testing infrastructure with autonomous LLM execution, Google Testing Standards, and OWASP security testing. Perfect for project launches, third-party QA handoffs, and enforcing quality gates (100% execution, ≥80% pass rate, 0 P0 bugs). The master prompt enables 100x faster test execution with zero tracking errors.
Use prompt-optimizer to transform vague feature requests into precise EARS specifications with domain theory grounding. Perfect for product requirements documents, AI-assisted coding, and learning prompt engineering best practices. Combine with skill-creator to create well-structured skill prompts, or with ppt-creator to ensure presentation content requirements are clearly specified.
Use claude-code-history-files-finder to recover deleted files from previous Claude Code sessions, search for specific implementations across conversation history, or track file evolution over time. Essential for recovering accidentally deleted code or finding that feature implementation you remember but can't locate.
Use continue-claude-work to recover the last actionable request from local ~/.claude artifacts and continue implementation without reopening the original session. Combine with claude-code-history-files-finder when you need broader cross-session search, statistics, or deleted-file recovery.
Use scrapling-skill to install and validate Scrapling CLI, choose between static and browser-backed fetching, and extract clean Markdown from sites like mp.weixin.qq.com. Combine with deep-research to turn extracted sources into structured reports or with docs-cleaner to normalize captured article content.
Use docs-cleaner to consolidate redundant documentation while preserving valuable content. Perfect for cleaning up documentation sprawl after rapid development phases or merging overlapping docs into authoritative sources.
Use claude-md-progressive-disclosurer to reduce CLAUDE.md bloat by moving detailed sections into references while keeping core rules visible.
Use skills-search to find, install, and manage Claude Code skills from the CCPM registry. Perfect for discovering new skills for specific tasks, installing skill bundles for common workflows, and keeping your skill collection organized.
Use promptfoo-evaluation to set up prompt tests, compare model outputs, and run automated evaluations with custom assertions. Use llm-eval-harness to benchmark an endpoint across speed (thinking-aware tok/s), concurrency/stability, Anthropic protocol compliance, and quality regression against your own use cases — verifying a vendor's tokens-per-second claim or vetting a newly released model before adopting it. The two compose: promptfoo for fast per-case rubric gating, llm-eval-harness for blind-judge precision and raw speed/concurrency probing.
Use iOS-APP-developer to configure XcodeGen projects, resolve SPM dependency issues, and troubleshoot code signing or device deployment.
Use macos-cleaner to intelligently analyze and reclaim disk space on macOS with safety-first approach. Unlike one-click cleaners that blindly delete, macos-cleaner explains what each file is, categorizes by risk level (🟢/🟡/🔴), and requires explicit confirmation before any deletion. Perfect for developers dealing with Docker/Homebrew/npm/pip cache bloat, users wanting to understand storage consumption, or anyone who values transparency over automation. Combines script-based precision with optional Mole visual tool integration for hybrid workflow.
Use twitter-reader to fetch tweet content without JavaScript rendering or authentication. Perfect for documenting social media discussions, archiving threads, analyzing tweet content, or gathering reference material from Twitter/X. Combine with doc-to-markdown to convert fetched content into other formats, or with repomix-safe-mixer to package research collections securely.
Use skill-reviewer to validate your own skills against best practices before publishing, or to review and improve others' skill repositories. Combine with github-contributor to find high-impact open-source projects, create professional PRs, and build your contributor reputation. Perfect for developers who want to contribute to the Claude Code ecosystem or any GitHub project systematically.
Use i18n-expert to set up complete i18n infrastructure for React/Next.js/Vue applications, audit existing implementations for missing translation keys, and ensure locale parity between en-US and zh-CN. Perfect for teams launching products to global markets, maintaining multi-language UIs, or replacing hard-coded strings with proper i18n keys. Combine with skill-creator to create locale-aware skills, or with docs-cleaner to consolidate documentation across multiple languages.
Use tunnel-doctor to diagnose and fix conflicts between Tailscale and proxy/VPN tools on macOS across multiple independent layers (route hijacking, HTTP env vars, system proxy, SSH ProxyCommand, VM/container proxy propagation, DNS resolver stall). Essential when Tailscale ping works but TCP connections fail, when git push fails with "failed to begin relaying via HTTP", or when setting up Tailscale SSH to WSL instances alongside Shadowrocket, Clash, or Surge. Also covers TUN measurement contamination — why raw probes (nc -z showing 0.00s, ping, a foreign ip-api lookup) lie while a global proxy is up, and what to trust instead.
Use product-analysis for structured pre-release and architecture reviews. It combines UX, API, and architecture analysis into measurable findings with priority-ranked recommendations. Add compare mode to benchmark against competitor implementations through evidence-backed reports.
Use windows-remote-desktop-connection-doctor to diagnose Azure Virtual Desktop / W365 connection quality issues on macOS. Essential when transport shows WebSocket instead of UDP Shortpath, when RTT is unexpectedly high, or when RDP Shortpath fails after changing network locations. Combines network evidence gathering with Windows App log analysis for systematic root cause identification.
Use claude-skills-troubleshooting to diagnose and resolve Claude Code plugin and skill configuration issues. Debug why plugins appear installed but don't show in available skills, understand the installed_plugins.json vs settings.json enabledPlugins architecture, and batch-enable missing plugins from a marketplace. Essential for marketplace maintainers debugging installation issues, developers troubleshooting skill activation, or anyone confused by the GitHub #17832 auto-enable bug.
Use ima-copilot to install the official Tencent IMA skill across Claude Code / Codex / OpenClaw, configure API credentials, detect and repair known upstream issues, and run personalized fan-out searches across all your IMA knowledge bases with priority-based boosting. The wrapper architecture means upstream upgrades never collide with your fixes — every repair is a runtime instruction, not a shipped patch. Perfect for IMA power users who switch between multiple coding agents, or for anyone who has hit the "Skipped loading skill(s) due to invalid SKILL.md" warning.
Use claude-export-txt-better to clean up /export output before archiving or sharing. The default export format hard-wraps tables, paths, and tool-call blocks at fixed column widths, which breaks readability in any viewer wider than 80 columns. The skill reconstructs the original structure and validates the fix with 53 automated checks so regressions are caught immediately.
Use douban-skill to back up your Douban 书影音 (book/movie/music/game) history to CSV. Douban has no official export — the public API was shut down in 2018 and all web scraping is blocked by PoW challenges. This skill uses the same Frodo API as the official Android app, so it just works without any login or cookies. Ships with a full failure log of 7 rejected scraping approaches, saving you hours of wasted effort.
Use terraform-skill when your terraform apply fails at a provisioner step, when fresh instances hit "docker: not found", or when multi-environment setups accidentally share snapshots. Every pattern in the skill is an exact error → root cause → copy-paste fix triple drawn from real incidents. Perfect for anyone who has lost a weekend to timing races in cloud-init, rsync connection drops in local-exec, or hardcoded domains in Caddyfiles.
Use debugging-network-issues when symptoms do not match the obvious cause: HTTP/2 RST_STREAM, SSE stalls at exactly 60s/100s/130s, "works sometimes but not always" failures, client-side proxy/VPN/TUN misrouting with ERR_CONNECTION_CLOSED or SSL_ERROR_SYSCALL, or anything that looks like an idle-timeout or rule-override incident through CDN / proxy / CGNAT / TUN chains. The skill replaces assumption-stacking with layered isolation experiments — running the same logical request through three or more paths that differ by one hop — plus a counter-review pattern for shipping fixes only after the hypothesis has been falsified, not just confirmed. The cognitive-trap catalog includes reverse-path / directional asymmetry and proxy-node DNS ≠ client DNS.
Use stepfun-tts for Chinese / Japanese voice synthesis with emotional control via instruction + inline () prosody. Captures the two breaking changes that ambush new StepAudio 2.5 users: voice_label removal and stricter 2.5-era censorship rules. Pair with step-tts-2 as a per-line fallback for content that triggers censorship.
Use stepfun-asr for transcribing up to 30-minute Chinese / English audio in a single SSE call (32K context, ~85-101× RTF, no client-side chunking). Hides the #1 trap — the model does NOT live on /v1/audio/transcriptions; the wrong endpoint returns a misleading "model not supported" error. Combine with transcript-fixer for ASR error correction or with meeting-minutes-taker to turn long recordings into structured minutes.
Each skill includes:
github-ops/references/api_reference.md for API documentationdaymade-docs/doc-to-markdown/references/conversion-examples.md for conversion scenariosdaymade-docs/mermaid-tools/references/setup_and_troubleshooting.md for setup guidedaymade-claude-code/statusline-generator/references/color_codes.md for customizationteams-channel-post-writer/references/writing-guidelines.md for quality standardsrepomix-unmixer/references/repomix-format.md for format specificationsdaymade-skill/skill-creator/SKILL.md for complete skill creation workflowllm-icon-finder/references/icons-list.md for available iconscli-demo-generator/references/vhs_syntax.md for VHS syntax and cli-demo-generator/references/best_practices.md for demo guidelinescloudflare-troubleshooting/references/api_overview.md for API documentationui-designer/SKILL.md for design system extraction workflowdaymade-docs/ppt-creator/references/WORKFLOW.md for 9-stage creation process and daymade-docs/ppt-creator/references/ORCHESTRATION_OVERVIEW.md for automationbrew install yt-dlp or pip install yt-dlpbrew install ffmpeg, apt install ffmpeg, or winget install ffmpegbrew install pandoc + pip install weasyprint (or use Chrome as backend)brew install vhsnpm install -g @marp-team/marp-clinpm install -g repomixStart with skill-creator if you want to create your own skills. Otherwise, browse the Other Available Skills section and install what matches your workflow.
No, these skills are specifically designed for Claude Code. You'll need Claude Code 2.0.13 or higher.
Use the same install command to update:
claude plugin install skill-name@daymade-skills
Absolutely! See CONTRIBUTING.md for guidelines. We recommend using the skill-creator to ensure your skill meets quality standards.
Yes, all skills are open-source and reviewed. The code is available in this repository for inspection.
We recommend using CC-Switch to manage API provider configurations. See the Chinese User Guide section above.
skill-creator is a meta-skill - it helps you create other skills. The other skills are end-user skills that provide specific functionalities (GitHub ops, document conversion, etc.). If you want to extend Claude Code with your own workflows, start with skill-creator.
Contributions are welcome! Please feel free to:
All skills in this marketplace follow:
This marketplace is licensed under the MIT License - see the LICENSE file for details.
If you find these skills useful, please:
Built with ❤️ using the skill-creator skill for Claude Code
Last updated: 2026-06-05 | Marketplace version 1.60.1
youtube-downloader/SKILL.md for usage examples and troubleshootingrepomix-safe-mixer/references/common_secrets.md for detected credential patternsvideo-comparer/references/video_metrics.md for quality metrics interpretation and video-comparer/references/configuration.md for customization optionsdaymade-audio/transcript-fixer/references/workflow_guide.md for step-by-step workflows and daymade-audio/transcript-fixer/references/team_collaboration.md for collaboration patternsqa-expert/references/master_qa_prompt.md for autonomous execution (100x speedup) and qa-expert/references/google_testing_standards.md for AAA pattern and OWASP testingprompt-optimizer/references/ears_syntax.md for EARS transformation patterns, prompt-optimizer/references/domain_theories.md for theory catalog, and prompt-optimizer/references/examples.md for complete transformationsdaymade-claude-code/claude-code-history-files-finder/references/session_file_format.md for JSONL structure and daymade-claude-code/claude-code-history-files-finder/references/workflow_examples.md for recovery workflowsdaymade-docs/docs-cleaner/SKILL.md for consolidation workflowsdeep-research/references/research_report_template.md for report structure and deep-research/references/source_quality_rubric.md for source triagedaymade-docs/pdf-creator/SKILL.md for PDF conversion and font setupdaymade-claude-code/claude-md-progressive-disclosurer/SKILL.md for CLAUDE.md optimization workflowdaymade-skill/skills-search/SKILL.md for CCPM CLI commands and registry operationspromptfoo-evaluation/references/promptfoo_api.md for evaluation patternsiOS-APP-developer/references/xcodegen-full.md for XcodeGen options and project.yml detailstwitter-reader/SKILL.md for API key setup and URL format supportmacos-cleaner/references/cleanup_targets.md for detailed cleanup target explanations, macos-cleaner/references/mole_integration.md for Mole visual tool integration, and macos-cleaner/references/safety_rules.md for comprehensive safety guidelinesdaymade-skill/skill-reviewer/references/evaluation_checklist.md for complete evaluation criteria and daymade-skill/skill-reviewer/references/pr_template.md for PR templatesgithub-contributor/references/pr_checklist.md for PR quality checklist, github-contributor/references/project_evaluation.md for project evaluation criteria, and github-contributor/references/communication_templates.md for issue/PR templatesi18n-expert/SKILL.md for complete i18n setup workflow, key architecture guidance, and audit proceduresdaymade-claude-code/claude-skills-troubleshooting/SKILL.md for plugin troubleshooting workflow and architecturefact-checker/SKILL.md for fact-checking workflow and claim verification processcompetitors-analysis/SKILL.md for the discover/ingest/profile/landscape workflow and competitors-analysis/references/profile_template.md for the competitor profile templatewindows-remote-desktop-connection-doctor/references/windows_app_log_analysis.md for log parsing patterns and windows-remote-desktop-connection-doctor/references/avd_transport_protocols.md for transport protocol detailsproduct-analysis/SKILL.md for workflow and product-analysis/references/synthesis_methodology.md for cross-agent weighting and recommendation logicexcel-automation/SKILL.md for create/parse/control workflows and excel-automation/references/formatting-reference.md for formatting standardscapture-screen/SKILL.md for CGWindowID-based screenshot workflows on macOSdaymade-claude-code/continue-claude-work/SKILL.md for local artifact recovery, drift checks, and resume workflowscrapling-skill/SKILL.md for the CLI workflow and scrapling-skill/references/troubleshooting.md for verified Scrapling failure modesima-copilot/SKILL.md for the wrapper architecture and routing, ima-copilot/references/installation_flow.md for the install deep dive, ima-copilot/references/known_issues.md for the issue registry and repair commands, and ima-copilot/references/search_best_practices.md for the fan-out strategy and 100-result truncation detailsdaymade-claude-code/claude-export-txt-better/SKILL.md for the workflow, daymade-claude-code/claude-export-txt-better/scripts/fix-claude-export.py for the reconstruction algorithm, and daymade-claude-code/claude-export-txt-better/evals/ for real regression fixturesdouban-skill/SKILL.md for the export workflow and douban-skill/references/troubleshooting.md for the complete log of 7 tested scraping approaches and why each failedterraform-skill/SKILL.md for the full catalogue of operational traps organised by exact error → root cause → copy-paste fixslides-creator/SKILL.md for the narrative-first workflow, slides-creator/references/narrative-design-guide.md for the ABCDEFG model, and slides-creator/references/content-creation-first-law.md for the universal content creation principledebugging-network-issues/SKILL.md for the falsification-first workflow, debugging-network-issues/references/layered-isolation-experiment.md for the multi-hop isolation pattern, debugging-network-issues/references/case-sse-rst-130s.md for the SSE production case study, and debugging-network-issues/references/case-proxy-tun-cname-override.md for the client-side proxy/TUN CNAME-rule-override case studystepfun-tts/SKILL.md for the Contextual TTS decision tree and stepfun-tts/references/migration_from_v2.md for the voice_label → instruction migration playbook plus the censorship rewrite liststepfun-asr/SKILL.md for the SSE-endpoint workflow and the four ASR-side traps (wrong endpoint, Plan-vs-Normal key, repetition hallucination, SSE error event). stepfun-asr/references/api_reference.md documents the exact JSON request body and SSE event contract for raw HTTP integrationllm-eval-harness/references/evaluation_disciplines.md for the reasoning behind each discipline (env-var keys, thinking-aware throughput, proxy isolation, probabilistic protocol verdicts) and llm-eval-harness/references/quality_blind_judge.md for the independent blind-judge quality methodnpm install -g @daymade/ccpmnpx promptfoo@latestuv run --with openpyxl ...daymade-financial:bigdata-skill): bd_v2_ key from https://www.bigdata.com/daymade-financial:gangtise-copilot): accessKey + secretAccessKey from https://open.gangtise.com/uv tool install 'scrapling[shell]' and scrapling install for browser-backed fetchesnpx skills is fetched on demand from the npm registry; IMA OpenAPI credentials from https://ima.qq.com/agent-interfaceopenai and aiohttp are auto-installed via uv run --with; the key is passed by env-var name only