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academic-research-skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
IImbad0202about 12 hours ago
git clone + symlink to ~/.claude/skills/Decision page
Compare the best Codex skills for code review with clearer trade-offs, ranking signals, and workflow fit.
This decision page compares the strongest 5 candidates for code review on Codex, so users can move from exploration to an actual choice.
Matched Skills
5
Quality Score
101.5
Demand Score
0.92
If you want a broader browse before deciding, step back to the matching workflow-and-platform route.
These sibling pages show how the same workflow looks when constrained to a different platform.
Broaden the path when you want to move from a comparison page back to the larger discovery structure.
These recommendation notes explain why the strongest candidates ranked into this intent page instead of just appearing in a generic directory list.
Codex compatible, strong code review match, high quality signals
Codex compatible, strong code review match, high quality signals
Codex compatible, strong code review match, high quality signals
Each skill below is matched against the workflow intent, platform constraints, and quality signals captured in the current sync pipeline.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
git clone + symlink to ~/.claude/skills/DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code. Latest version now also supports Spec Driven Development with CLI Runners.
brew install gitleaksThe intent layer only publishes pages that can support a distinct shortlist and a clear decision path.
The page is optimized for decision-making, so it emphasizes trade-offs instead of a broad browse view.
Codex support and code review fit both need to be strong enough to justify comparison.
Only workflows with enough candidate depth move into a best-of page.
Skills need enough structured facts and repository quality signals to support an indexable page.
A few quick answers on how this page is assembled and when it earns a spot in the search index.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
git clone https://github.com/tianyilt/claude-fleetTrail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows
Codex supports Claude plugin marketplaces directly, so this repository does not need Codex-specific sidecar metadata.
Install the marketplace with:📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more
git cloneThe list favors install-ready repositories with clearer workflow fit instead of raw repository volume.