awesome-ai-rules
🤖 Curated AI coding assistant rules for Cursor, Claude Code, Copilot, Windsurf, Codex CLI & Gemini CLI. Copy-paste configs for TypeScript, React, Next.js & Python.
Install / Use
npx skills add Lay4U/awesome-ai-rulesInstalls into whichever agent you are using.
Aider Config
Aider AI pair programming config
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of awesome-ai-rules
awesome-ai-rules scores 40/100 on our quality scale, 4404th of 4,644 Development & Engineering skills we index.
Its Aider Config is 1.8 KB long, written without headings and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-10-19 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
awesome-ai-rules compared with similar skills
All 4 of these similar skills score higher than awesome-ai-rules; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| awesome-ai-rules (this skill)by Lay4U | 40 | 0 | — | Aider Config |
| Agent-Reachby Panniantong | 100 | 105.3k | 3d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 104.0k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.1k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.0k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install awesome-ai-rules?
- Run
npx skills add Lay4U/awesome-ai-rules. The install tabs above show the steps for each supported agent. - Which AI agents does awesome-ai-rules work with?
- It is written for Aider, as a Aider Config file. Other agents that read the same format can often use it too.
- Is awesome-ai-rules safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is awesome-ai-rules still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubconventions:
- Start multi-file tasks in /architect and execute in /code.
- Use /add for only affected modules and tests; /drop stale context.
- Review repo map before package-wide moves or API redesigns.
- Target modern Python typing in all new or changed code.
- Add type hints for function parameters and return values.
- Prefer
pathlib.Pathover string-based path manipulation. - Keep functions small and focused on one responsibility.
- Isolate side effects from core domain logic.
- Raise specific exceptions instead of broad generic errors.
- Avoid bare
except; catch concrete error types. - Use dataclasses or pydantic models when structured data is central.
- Keep module public APIs explicit via
__all__when appropriate. - Avoid global mutable state unless required by framework lifecycle.
- Use dependency injection for external services in testable code.
- Write pytest tests for success, failure, and edge conditions.
- Prefer fixtures for shared setup instead of duplicated scaffolding.
- Mock only network, filesystem, and process boundaries.
- Keep docstrings concise and accurate for public interfaces.
- Maintain import hygiene and remove dead code promptly.
- Keep CLI and API boundary validation explicit and early.
- Never commit debugging prints; use structured logging.
- Ask aider for impacted modules before accepting broad refactors.
- Run lint and tests locally before finalizing commit.
- Keep migrations/version bumps in the same logical change.
- Prefer one logical change per aider session to keep commits reviewable.
- If aider proposes broad edits, ask for a smaller scoped patch first.
- Re-run commands after any follow-up prompt that changes generated code. auto-commits: true lint-cmd: ruff check . test-cmd: pytest -q
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headroom
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ai-job-search
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.