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A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
45
review score
Problem solved
LLMs make wrong assumptions, overcomplicate code, and make unnecessary changes. They don't seek clarification, surface tradeoffs, or push back when appropriate, leading to bloated and error-prone code.
Deployment reality
The available setup signal starts with: curl -o CLAUDE.md https://raw.githubusercontent.com/forrestchang/andrej-karpathy-skills/main/CLAUDE.md. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
No license is recorded. Do not assume this project is free for commercial or internal use until the repository license and dependency licenses are checked.
Capability ceiling
multica-ai/andrej-karpathy-skills still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
multica-ai/andrej-karpathy-skills is tracked as a multi-language project in the LLM Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 203k total stars, with +246 today, +2.1k this week, and +9.1k this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 177 days ago, and the open issue queue is 127, about 0.06% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 21k forks and 203k watchers suggest how often the project is reused or followed. License signal: No license specified. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need teams that prefer mature projects with broad adoption signals. Be cautious when you need clear license metadata before internal adoption.
Source check: Git-Stars currently has 1 explicit source reference(s) for this report and a recent growth signal of 9.1k. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
LimitedNeeds clearer source references.
License
LimitedLicense is unknown and should be checked before commercial use.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
203k Stars
Reuse
21k Forks
Attention
203k Watchers
Maintenance
moderate
License
Unknown
Open issues
127
A CLAUDE.md file that improves Claude Code behavior by addressing common LLM coding pitfalls, based on Andrej Karpathy's observations. It provides four principles to guide the AI towards more thoughtful, simple, and precise code generation.
Key Features
- Four principles: Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution - Installable as a Claude Code plugin or per-project CLAUDE.md - Customizable with project-specific rules and includes Cursor support
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
curl -o CLAUDE.md https://raw.githubusercontent.com/forrestchang/andrej-karpathy-skills/main/CLAUDE.md80
Health Score
Moderate
Commit Activity
Jan 27, 2026
Created
Apr 20, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
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License
✓
Forked
~ Moderate
Maintained