Skillshub filesystem-navigation

Filesystem Navigation

install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/esurovtsev/langchain-lab/filesystem-navigation" ~/.claude/skills/comeonoliver-skillshub-filesystem-navigation && rm -rf "$T"
manifest: skills/esurovtsev/langchain-lab/filesystem-navigation/SKILL.md
source content

Filesystem Navigation

When to Use This Skill

When you are asked to explore, understand, or map a project's file structure. This includes requests like "what is this project?", "show me the structure", or "help me find where X is".

Strategy

Start at the Root

Always begin by listing the top-level directory. The root reveals the project type faster than anything else:

  • README.md
    or
    README.rst
    → start here, it's the author's own summary
  • requirements.txt
    ,
    pyproject.toml
    ,
    package.json
    → tells you the language and dependencies
  • Dockerfile
    ,
    docker-compose.yml
    → the project is containerized
  • Makefile
    ,
    justfile
    → there are predefined commands to run
  • .env.example
    → environment variables are needed; never read
    .env
    itself

Explore Breadth Before Depth

List all top-level directories before diving into any single one. Build a mental map:

  • src/
    or
    app/
    → application code lives here
  • tests/
    or
    test/
    → test suite
  • config/
    or
    conf/
    → configuration
  • docs/
    → documentation
  • scripts/
    or
    bin/
    → utility scripts
  • migrations/
    or
    alembic/
    → database migrations

Go Deeper with Purpose

Don't read every file. Choose what to read based on what you're trying to answer:

  • To understand what the project does → README, then entry point
  • To understand how it's structured → list
    src/
    recursively
  • To understand how to run it → README, Makefile, Dockerfile, config
  • To understand dependencies → requirements.txt, package.json, pyproject.toml

Things to Avoid

  • Don't assume a file's purpose from its name alone —
    utils.py
    could contain anything
  • Don't read binary files (images, compiled files, databases)
  • Don't read
    .env
    files — they may contain secrets
  • Don't try to read
    node_modules/
    ,
    __pycache__/
    ,
    .git/
    , or other generated directories
  • Don't list deeply nested directories all at once — go level by level

Signals That Help

  • A
    __main__.py
    or
    if __name__ == "__main__"
    block indicates an entry point
  • A file named
    app.py
    ,
    main.py
    , or
    server.py
    is usually the entry point
  • __init__.py
    files in Python indicate a package; they may re-export key symbols
  • Hidden files (
    .gitignore
    ,
    .flake8
    ,
    .pre-commit-config.yaml
    ) reveal tooling choices