multica-ai/andrej-karpathy-skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #13 of 1,950 repositories GStars tracks this week (top 1%).
The project lists 7 contributors on GitHub.
Peaked at #1 in the weekly ranking the week of Apr 12, its best in the past year.
Use Cases & Benefits
- Provides a set of coding guidelines to improve LLM-generated code behavior based on Andrej Karpathy's observations of common pitfalls.
- Ensures more accurate, minimal, and goal-driven code changes by enforcing explicit reasoning, simplicity, surgical edits, and verifiable success criteria.
- Use for integrating disciplined LLM coding practices into AI-assisted code generation workflows to reduce errors and overcomplication.
- Use for maintaining clean and minimal pull requests by preventing unnecessary or unrelated code modifications in collaborative projects.
- Use for creating project-specific CLAUDE.md guidelines that enhance LLM coding outputs with customized rules and verification loops.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
A single
CLAUDE.mdfile to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls."The models make wrong assumptions on your behalf and just run along with them without checking. They don't manage their confusion, don't seek clarifications, don't surface inconsistencies, don't present tradeoffs, don't push back when they should."
"They really like to overcomplicate code and APIs, bloat abstractions, don't clean up dead code... implement a bloated construction over 1000 lines when 100 would do."
"They still sometimes change/remove comments and code they don't sufficiently understand as side effects, even if orthogonal to the task."
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+26,690 stars over 89 days across 10 snapshot days; best day +703 on Sep 8.
Forks
22.0K+2.3K
Open issues
133+8
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 100.4K | +3.6K | 75 | today |
| tashfeenahmed/freellmapi | 34.7K | +3.4K | 75 | today |
| JuliusBrussee/caveman | 111.0K | +1.6K | 75 | 3 days ago |
| p-e-w/heretic | 35.1K | +1.5K | 41 | 121 days ago |
| xerj-org/xerj | 3.8K | +1.2K | 75 | today |
| multica-ai/andrej-karpathy-skills | 218.5K | +0 | 9 | — |
| Category median | 35.1K | +1.6K | 75 | — |
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