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karpathy-guidelines
Andrej Karpathy's coding guidelines for AI agents — concise, correct, and well-tested code
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Andrej Karpathy's coding guidelines for AI agents — concise, correct, and well-tested code
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
Initiative-level portfolio management with dependency tracking and milestone coordination
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time
| name | karpathy-guidelines |
| description | Andrej Karpathy's coding guidelines for AI agents — concise, correct, and well-tested code |
Inspired by: andrej-karpathy-skills — behavioral guidelines derived from Andrej Karpathy's observations on common LLM coding pitfalls (MIT licensed).
Purpose: Reduce the failure modes this agency's coding agents hit most: overcomplication, silent assumptions, drive-by refactors, and unverifiable "done" claims. Applies to every agent that writes or reviews code — the internal agent loop, the issue-to-PR workflows, and external harnesses driven via ECC.
Tradeoff: These rules bias toward caution over speed. For trivial one-line changes, use judgment.
Don't assume. Don't hide confusion. Surface tradeoffs.
Minimum code that solves the problem. Nothing speculative.
Touch only what you must. Clean up only your own mess.
Define success criteria. Loop until verified.
verified when the named check actually ran and passed. Failed verification must be reported as failed with the real error — never masked as success (this mirrors the brain-config rule that verification results can never be masked).issue-context-generator.yml): context plans should include explicit assumptions and step → verify pairs.process-quick-note.yml): the implementing agent applies rules 2 and 3 to keep diffs reviewable.CHANGELOG.md entries honest — one entry per intent, not per drive-by fix.