n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
npx n8nDiscovery by use case
Browse AI agent skills by task so you can move from a vague workflow need to a shortlist of install-ready repositories.
This hub rolls up the first workflows with enough depth to surface at least 12 relevant skills, so users can start from the job to be done instead of browsing a flat directory.
Matched Skills
12
Quality Score
74.5
Demand Score
0.68
Start with the workflow need first, then branch into platform-specific pages once the shortlist is clearer.
Browse Claude Code, MCP, Codex, and Cursor as separate intent hubs instead of burying platform discovery in filters.
These routes already have enough skill depth to support a clearer comparison-oriented shortlist.
These recommendation notes explain why the strongest candidates ranked into this intent page instead of just appearing in a generic directory list.
high quality signals
high quality signals
high quality signals
Each skill below is matched against the workflow intent, platform constraints, and quality signals captured in the current sync pipeline.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
npx n8nAn open-source AI agent that brings the power of Gemini directly into your terminal.
npx @google/gemini-cli🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
pip install scraplingThe intent layer only publishes pages that can support a distinct shortlist and a clear decision path.
Each workflow needs enough matched skills to avoid publishing a thin hub.
Use cases are grouped around task-driven demand, not around arbitrary directory slices.
Skills need enough structured facts and repository quality signals to support an indexable page.
The list favors install-ready repositories with clearer workflow fit instead of raw repository volume.
A few quick answers on how this page is assembled and when it earns a spot in the search index.
🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
npx ruflo initReal-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
git clone https://github.com/koala73/worldmonitor.git⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。
git clone https://github.com/sansan0/TrendRadar.gitContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
npx ctx7 setupChrome DevTools for coding agents
claude mcp add chrome-devtools --scope user npx chrome-devtools-mcp@latestGitHub's official MCP Server
claude mcp add github -e GITHUB_PERSONAL_ACCESS_TOKEN=$GITHUB_PAT -- docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN ghcr.io/github/github-mcp-server
# In config files (where supported)
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "$GITHUB_PAT"
}High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
git clone https://github.com/DeusData/codebase-memory-mcp.gitAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。