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karpathy-skillslearn-claude-code
Quick read
- Editor's pick: karpathy-skills.
- No logged gotchas: karpathy-skills.
| Field | karpathy-skillsgithub.com | learn-claude-codegithub.com |
|---|---|---|
| What it is | A ~65-line CLAUDE.md built around four LLM coding failure modes Karpathy identified. Adds no tools — it changes how the agent decides: surface assumptions before coding, refuse speculative abstraction, keep diffs scoped, define a verifiable stopping condition. ~203k stars. | 17 progressive lessons with runnable Python building a nano Claude-Code-like agent: agent loop, tools, permissions, context management, skill loading, task system, worktrees, MCP. Its thesis is that agency comes from model training, so your job is building tools and permissions around the model. |
| Category | Planning & reasoning | Planning & reasoning |
| Cost tier | free | free |
| Pricing | Free | Free |
| Why builders pick it | Cheapest quality win on the entire list. One file, no install, works alongside everything else. 'Surgical Changes' alone stops the drive-by refactors that break a working layout while fixing something unrelated. | Background reading, not a build tool. Useful if you want to understand why the memory and cost tools below work the way they do. |
| Watch out for | not logged | Ambiguous link. Two repos share this name — shareAI-lab/learn-claude-code (~66k stars, the code course) and delbaoliveira/learn-claude-code (~183 stars, an 11-lesson in-terminal course). The star profile of the surrounding links suggests the former; open the original link to be sure. |
| How to wire it up | curl -o CLAUDE.md .../main/CLAUDE.md | not logged |
| Editor's pick | Yes | No |
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# Tool comparison — karpathy-skills vs learn-claude-code Source: Kbaise, a directory of tools that work with Lovable projects. Pick one and tell me why before writing any integration code. ## karpathy-skills (karpathy-skills) - URL: https://github.com/multica-ai/andrej-karpathy-skills - Category: Planning & reasoning - Cost: free — Free - What it is: A ~65-line CLAUDE.md built around four LLM coding failure modes Karpathy identified. Adds no tools — it changes how the agent decides: surface assumptions before coding, refuse speculative abstraction, keep diffs scoped, define a verifiable stopping condition. ~203k stars. - Why builders pick it: Cheapest quality win on the entire list. One file, no install, works alongside everything else. 'Surgical Changes' alone stops the drive-by refactors that break a working layout while fixing something unrelated. - Wiring: curl -o CLAUDE.md .../main/CLAUDE.md - Full dossier: /api/public/tools/karpathy-skills ## learn-claude-code (learn-claude-code) - URL: https://github.com/shareAI-lab/learn-claude-code - Category: Planning & reasoning - Cost: free — Free - What it is: 17 progressive lessons with runnable Python building a nano Claude-Code-like agent: agent loop, tools, permissions, context management, skill loading, task system, worktrees, MCP. Its thesis is that agency comes from model training, so your job is building tools and permissions around the model. - Why builders pick it: Background reading, not a build tool. Useful if you want to understand why the memory and cost tools below work the way they do. - Trap: Ambiguous link. Two repos share this name — shareAI-lab/learn-claude-code (~66k stars, the code course) and delbaoliveira/learn-claude-code (~183 stars, an 11-lesson in-terminal course). The star profile of the surrounding links suggests the former; open the original link to be sure. - Full dossier: /api/public/tools/learn-claude-code ## Quick read - Editor's pick: karpathy-skills. - No logged gotchas: karpathy-skills. ## Rules 1. Prefer the free tier when no budget was stated, and say what the ceiling is. 2. Read the full dossier before integrating. 3. Fetch /api/public/models before writing any AI model ID.
Agents can fetch the same thing: GET /api/public/compare?slugs=karpathy-skills,learn-claude-code