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PromptsMay 11, 2026·2 min de lecture

Agent Rules Books — AGENTS.md from SE Books

agent-rules-books ships MIT-licensed AGENTS.md/skills distilled from classic software engineering books, with mini/nano/full variants and size metrics.

Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Native · 96/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Prompt
Installation
Single
Confiance
Confiance : Community
Point d'entrée
README.md
Commande CLI universelle
npx tokrepo install 0fe3bb0d-040f-44d2-bd5b-48627a9a6a02
Introduction

Best for: teams that want grounded engineering rules (refactoring, architecture, DDD) ready for Codex/Cursor/Claude Code

Works with: Any agent that reads Markdown rule files (AGENTS.md / CLAUDE.md / Cursor rules). Copy-based setup.

Setup time: 6 minutes

Quant Data

  • Each ruleset ships full/mini/nano variants with line/size metrics (repo)
  • Setup time ~6 minutes

How to Use It Well

Use these rules as a working agreement. Keep the active set small, and add a short checklist at the top: tests first, small diffs, stop early.

Adoption Checklist

  • Start with one real task and keep the scope narrow
  • Capture a baseline: time-to-first-success and output quality
  • Version your config/skills so teammates stay in sync

Guardrails

Rules are only useful when enforced. Pair them with CI gates (tests, lint) and code review conventions.

FAQ

Q: Is this copyrighted book content? A: The README states the rules are inspired by books and intentionally avoid reproducing book text; treat them as operational instructions.

Q: Which variant should I start with? A: Use mini for most tasks; keep nano for tight context budgets and full as reference.

Q: How do I combine multiple books? A: Start with one baseline (e.g., Refactoring), then layer a second only after you see consistent behavior.


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Source et remerciements

GitHub: https://github.com/ciembor/agent-rules-books Owner avatar: https://avatars.githubusercontent.com/u/702108?v=4 License (SPDX): MIT GitHub stars (verified via api.github.com/repos/ciembor/agent-rules-books): 1,305

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