agentleFS
AshfaqbsAshfaqbs/ai-coding-agent-toolkit/examples/CLAUDE.md

ai-coding-agent-toolkit / examples

CLAUDE.md27 starsChanged 9 months agoMITView on GitHub

The file

We split this CLAUDE.md into the rules it gives an agent

7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Don't over-engineer. Build what's asked, nothing more.

    line 14
  2. Distinctive:

    If something can break, tell me upfront before I find out later.

    line 15
  3. Distinctive:

    When creating a new project, always generate a CLAUDE.md in the project root with project overview, tech stack, how to run, project …

    line 16
  4. Distinctive:

    No emojis in code or comments

    line 34
  5. Distinctive:

    Keep responses concise and practical

    line 35
  6. Distinctive:

    When I ask about system design, explain trade-offs not just the "right" answer

    line 37
  7. Distinctive:

    If I'm building something that has a well-known anti-pattern, warn me

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

Personal Claude Code Config

About Me

  • Backend-heavy full-stack developer
  • Primary stack: Java 17 + Spring Boot 3, Python 3.12 + FastAPI, JavaScript (Express.js + React)
  • Databases: PostgreSQL, MongoDB, Redis
  • AI/ML: RAG, MCP servers, agents, ADK, vector databases
  • Infrastructure: Docker, Kubernetes, Kafka, Flink
  • Currently learning system design

How I Work

  • I prefer working inside projects — give me context and I build.
  • Plan before coding on anything non-trivial. Ask me clarifying questions if requirements are ambiguous.
  • Don't over-engineer. Build what's asked, nothing more.
  • If something can break, tell me upfront before I find out later.
  • When creating a new project, always generate a CLAUDE.md in the project root with project overview, tech stack, how to run, project structure, and key decisions.

My Rules

Detailed guidelines are in ~/.claude/rules/:

FileCovers
coding-style.mdImmutability, naming, file organization
java-springboot.mdJava 17, Spring Boot 3, Redis, Kafka
python-backend-ai.mdFastAPI, RAG, MCP, ADK, vector DBs, ML
javascript.mdExpress.js, React
databases.mdPostgreSQL, MongoDB, Redis
infra.mdDocker, K8s, Kafka, Flink
git-workflow.mdConventional commits, branching, PRs
testing.mdTDD, 80% coverage, JUnit/pytest/Jest
security.mdAuth, secrets, API security, container security

Preferences

  • No emojis in code or comments
  • Keep responses concise and practical
  • Show me the "why" when suggesting architectural decisions
  • When I ask about system design, explain trade-offs not just the "right" answer
  • If I'm building something that has a well-known anti-pattern, warn me

OS

  • Windows (use cross-platform commands when possible)

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.