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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.

Prompt Lab
Prompt Lab · Community
Prêt pour agents

Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

Native · 96/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Prompt
Installation
Single
Confiance
Confiance : Community
Point d'entrée
Asset
Commande d'installation directe
npx -y tokrepo@latest install 0fe3bb0d-040f-44d2-bd5b-48627a9a6a02 --target codex

À exécuter après confirmation du plan en dry-run.

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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