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AI coding agent rules and skills

Cursor rules, AGENTS.md & agent skills.

Stop rewriting system prompts. Copy battle-tested AGENTS.md, Cursor rules, CLAUDE.md and Claude Code skills (SKILL.md), each configured for a real production architecture.

Not sure which file your tool reads? AGENTS.md vs CLAUDE.md vs .cursorrules, with data from 113 repos

Rule and skill sets
32
Technologies covered
76
Free, copy-paste ready
100%

Matching rule sets

Showing 6 of 32

fastapi-jev-decision-service/AGENTS.md · 73 linesFastAPI + Jev Decision Service (Python)Python rules for a Jev decision service: FastAPI, the async typesafe-sdk client, a typed question registry, confidence thresholds, decision logs and replay tests. intermediate PythonFastAPIJevPydanticfastapi-python-postgres/AGENTS.md · 96 linesFastAPI + Python + PostgreSQL (Async SQLAlchemy & Pydantic v2)Production guidelines for FastAPI, Pydantic v2 validation, Async SQLAlchemy 2.0 (asyncpg), Alembic migrations, and PostgreSQL/Redis. intermediate FastAPIPythonPostgreSQLSQLAlchemyjev-browser-agent/AGENTS.md · 73 linesJev Browser Agent (Playwright + TypeSafe System One)Rules for a browser agent where Jev picks the action and target from an indexed element table, Noul checks goal and stuck, and a small LLM types only text. advanced JevPlaywrightTypeScriptPythonlanggraph-python-fastapi/AGENTS.md · 75 linesLangGraph + Python + FastAPI (Agentic AI Workflows)Production architecture for autonomous multi-agent systems, LangGraph cyclic state graphs, Pydantic v2 structured tool calling, and Chroma/Qdrant vector stores. advanced LangGraphLangChainFastAPIPythonnextjs-ai-sdk-jev/AGENTS.md · 81 linesNext.js + Vercel AI SDK + Jev (System One + LLM)Next.js rules for Jev: typed TypeSafe decisions route, classify and gate on the server, the Vercel AI SDK streams LLM text, and confidence decides what runs. intermediate Next.jsReactTypeScriptJevnode-express-mongodb/AGENTS.md · 66 linesNode.js + Express + MongoDBProduction guidelines for Express REST APIs, Mongoose schema design, and MongoDB indexing/transaction discipline. intermediate Node.jsExpressMongoDBTypeScript

Questions about rules and skills

Setting up AGENTS.md, CLAUDE.md, Cursor .mdc, SKILL.md and context boundaries.

What is the purpose of AGENTS.md and CLAUDE.md files?

AGENTS.md and CLAUDE.md are specialized system prompt guideline files placed in repository roots. They supply AI coding assistants (like Cursor, Claude Code, Windsurf, and AGY) with non-negotiable architectural boundaries, connection pooling rules, framework idioms, and forbidden anti-patterns to prevent hallucinations and maintain codebase consistency.

How do I use these rules in my local development environment?

Copy the generated AGENTS.md into your project root, or drop the .mdc file into .cursor/rules/ for Cursor — both are automatically indexed. Claude Code directly reads CLAUDE.md for project conventions and CLI commands.

What's the difference between AGENTS.md, CLAUDE.md, and the .mdc file?

AGENTS.md is the open, cross-tool standard read by 30+ agents (Codex, Cursor, Copilot, Jules, and more). CLAUDE.md adds Claude Code-specific CLI commands and conventions. The .mdc file is the modern Cursor Rules format with YAML frontmatter (description, globs, alwaysApply) that replaces the legacy single .cursorrules file.

What is the difference between a rule and an agent skill (SKILL.md)?

Rules (AGENTS.md, CLAUDE.md, .mdc) are always-on project instructions loaded from the repository root. An agent skill is a SKILL.md file with YAML frontmatter (name, description) that agents like Claude Code, Codex, and Cursor load on demand when a task matches its description. Every stack on this page ships in both forms, so you can pin the guidelines globally or let the agent pull them in only when it touches that stack.

How do I install one of these as a Claude Code skill?

Open any rule set and copy the SKILL.md cURL command, or run: curl -s --create-dirs -o .claude/skills/<slug>/SKILL.md https://stackitfast.com/rules/<slug>/SKILL.md. Claude Code discovers project skills under .claude/skills/ automatically; the same file works in any Agent Skills-compatible tool.

Why are stack-specific rules necessary over generic prompts?

Generic system prompts fail on crucial framework-specific edge cases—such as disabling prepared statements in Supabase transaction poolers (prepare: false), configuring Redis noeviction policies for BullMQ, or enforcing asyncpg pool pre-ping in FastAPI. Stack-specific rules provide verified, battle-tested solutions to real integration gotchas.

Are these rules based on real open-source architectures?

Yes. Every rule set in STACK IT FAST is derived directly from verified production repositories benchmarked in our directory, including Cal.com, PostHog, Supabase Studio, Sentry, Grafana, and Dub.

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