claude-code-docs
Skill1 starsChanged 5 days agoMITView on GitHub
Comprehensive documentation and guide for Claude Code. Use when the user asks about Claude Code features, commands, configuration, memory (CLAUDE.md), sub-agents, skills, hooks, or troubleshooting.
- Pipes a download into a shell
2 other projects use a version of this.
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- mehmetbaykar/claude-code-docs-skilltheir own version, first seen Oct 13, 2026
- ecator/my-agent-skillstheir own version, first seen Apr 6, 2026
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- ecator/my-agent-skills★ 1same name
- mehmetbaykar/claude-code-docs-skill★ 1same name
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The file
Files
Claude Code Documentation
Claude Code is an agentic CLI tool that helps you understand, write, and maintain codebases. It operates in an agentic loop, using tools to interact with your environment.
Quick Reference
- Install (macOS/Linux/WSL):
curl -fsSL https://claude.ai/install.sh | bash - Install (Windows PowerShell):
irm https://claude.ai/install.ps1 | iex - Login:
claudeor/login - Start Session:
claude(in your project directory) - Help:
/helpwithin a session
Essential Commands
| Command | What it does |
claude | Start interactive mode |
claude "task" | Run a one-time task |
claude -p "query" | Run one-off query, then exit |
claude -c | Continue most recent conversation |
claude commit | Create a Git commit |
/clear | Clear conversation history |
/help | Show available commands |
exit | Exit Claude Code |
/memory | View and edit what Claude has learned about the project. |
/undo | Rewind to a previous checkpoint. |
Core Topics
- Overview: What is Claude Code?
- Setup & Configuration: Installation, accounts, and settings.
- How Claude Code Works: The agentic loop, tools, and session management.
- Built-in Commands: Reference for all interactive commands.
- Common Workflows: Guides for bug fixing, refactoring, and testing.
- Memory and CLAUDE.md: How Claude remembers your project.
- Permissions: Configuring permissions and security.
- Extending Claude Code:
- Skills: Creating custom skills.
- Hooks: Automating workflows.
- MCP: Connecting to external tools.
- Sub-agents: Delegating to specialized agents.
- Agent Teams: Working in parallel.
- Troubleshooting: Solutions for common issues.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.