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feat(skill): integrate Karpathy behavioral guidelines into every CLAUDE.md (#25)
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---
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name: karpathy-guidelines
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description: Behavioral guardrails for LLM-assisted coding. Use when writing, reviewing, or refactoring code in any project to avoid overcomplication, keep changes surgical, surface assumptions early, and execute against verifiable success criteria.
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license: MIT
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permissions:
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allow:
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- Read
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- Glob
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- Grep
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---
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# Karpathy Guidelines for LLM Coding
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Behavioral guardrails for code generation in Claude Code projects, distilled from observations on common LLM coding failure modes. Apply these to every editing, reviewing, and refactoring task.
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> Attribution: adapted from the MIT-licensed `karpathy-guidelines` skill by Forrest Chang
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> (https://github.com/forrestchang/andrej-karpathy-skills), inspired by Andrej Karpathy's
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> commentary on where LLM-generated code typically goes wrong.
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> ClaudeForge integrates these principles so every project initialised or enhanced through
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> `/enhance-claude-md` ships with them in its CLAUDE.md.
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---
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## When to Apply
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Apply on every non-trivial task: writing new code, editing existing code, code review, refactoring, and bug fixing. They are intentionally conservative — bias toward caution over speed.
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---
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## 1. Think Before Coding
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Surface what is uncertain. Do not paper over confusion with plausible-sounding code.
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- State assumptions before implementing; if any are load-bearing and you are not sure, ask.
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- If the request admits more than one reasonable interpretation, list them rather than silently picking one.
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- If a simpler approach exists than the one the user proposed, say so and explain the tradeoff.
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- When something is genuinely unclear, stop. Identify what is unclear in concrete terms, then ask.
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---
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## 2. Simplicity First
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Write the minimum code that solves the stated problem. Nothing speculative.
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- Do not add features that were not requested.
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- Do not introduce abstractions when there is only one call site.
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- Do not add configuration knobs or extension points on speculation.
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- Do not add error handling for conditions that cannot occur in this code path.
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- If the first draft is 200 lines and a 50-line version would do, rewrite it before shipping.
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Self-check: a senior engineer skimming this diff — would they say it is overcomplicated for what was asked? If yes, simplify.
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---
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## 3. Surgical Changes
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Touch only what the task requires. Do not opportunistically refactor.
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- Do not "improve" adjacent code, comments, or formatting that the task did not require touching.
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- Do not refactor code that is working, even when you would have written it differently.
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- Match the surrounding code's style and conventions, even when they differ from your defaults.
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- If you notice unrelated dead code or bugs, surface them in the response — do not silently delete or fix them.
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When your own changes leave orphans:
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- Remove imports, variables, and helpers that your edits made unreachable.
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- Do not remove pre-existing dead code unless explicitly asked.
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Diff test: every changed line should be traceable to the user's request. If a line is not, drop it.
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---
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## 4. Goal-Driven Execution
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Turn the task into a verifiable goal, then iterate until the verification passes.
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- Convert vague requests into checkable success criteria before coding:
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- "Add validation" → write the failing tests for invalid inputs first, then make them pass.
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- "Fix the bug" → write a test that reproduces the bug, then make it pass.
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- "Refactor X" → confirm the existing tests pass, refactor, confirm they still pass.
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- For multi-step tasks, state the plan inline with verification per step:
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```
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1. <step> → verify: <how you will check>
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2. <step> → verify: <how you will check>
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3. <step> → verify: <how you will check>
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```
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Strong success criteria let you loop without supervision. Vague ones ("make it work") force the user back into the loop.
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---
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## Integration with ClaudeForge
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- The slash command `/enhance-claude-md` injects a `## Behavioral Guidelines` section into every generated or enhanced `CLAUDE.md`, summarising these four principles with a link back to this skill.
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- The `claude-md-guardian` agent preserves the section across automated maintenance updates.
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- `skill/generator.py` and `skill/template_selector.py` insert the section unconditionally — these principles are not opt-in.
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## Effectiveness Indicators
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The guidelines are working when diffs trend smaller, rewrites caused by overcomplication drop, and clarifying questions arrive before implementation rather than after a failed attempt.
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