awesome-claude-code

A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins. Suitable for beginners and veterans, with an emphasis on code quality, security, and originality.

The current iteration of the list, such as you see it today, was launched with the express intent to highlight resources that were not on the last iteration, and in particular to make selections from the list of recommendations. However, this is only temporary - resources will continue to be added over the coming weeks, and "legacy" resources will be migrated to the new format. So, if you had been featured on the list before, and you don't see your project now, that's the reason why - "legacy" resources that are still maintained and awesome will be added back in soon - and, in the meantime, they are also preserved (but will not be updated) in the README_ALTERNATIVES directory.

The Claude Code Ticker - A Sample of Claude Code Projects Around GitHub

Recently Added

Table of Contents

• Start Here

• From Anthropic

• Documentation, Knowledge & Learning

  • Obsidian

  • Data Visualization

• Open Source Contribution & Maintenance

• Research & Scientific Inquiry

• Providers, Runtime & Integration Infrastructure

• Remote Control, Notifications & Voice I/O

• Alternative Clients

• Status Lines

• Mods

• Design & UI/UX

• Writing & Prose Quality

• Creative Media

• Infrastructure & DevOps

• Security

• Agent Orchestration

  • Ralph Wiggum

  • Dynamic Workflows

  • SDLC

• Skills

• Memory & Context Persistence

• Observability & Monitoring

  • Session Monitors

  • Usage & Cost

  • Observability

• Configuration

• Testing

• Linting

• Multi-Purpose

• Lists & Collections

Start Here

• A Field Guide to Claude Fable 5 by Thariq Shihipar, Anthropic - Really solid, insightful guidance on working/thinking with Claude Fable, and with AI in general. Very well written. Hints of Rumsfeld epistemology, but otherwise it's a great piece.

• andrej-karpathy-skills by multica-ai - A drop-in CLAUDE.md distilling four behavioral guidelines for LLM-assisted coding into Claude Code — a low-friction quick win. Karpathy-inspired, derived from Andrej Karpathy's public notes on LLM coding pitfalls and authored by multica-ai.

• Beyond the Prompt: Claude Code by Arpan Patel - This has what you need. Remarkably clear, information-dense, it's Claude Code: the good parts, for beginners, advanced users, pets, anybody.

• Claude Code Guide by zebbern - A current single-page reference for Claude Code: install, environment variables, slash commands, MCP, hooks, and subagents, kept in sync with the official changelog.

• Claude Code Hooks: Complete Guide by Hidekazu Konishi - A thorough walkthrough of every hook event, when each fires, the two return channels, common anti-patterns, and copy-ready settings.json examples.

• Claude Code: Everything You Need to Know by wesammustafa - A conceptual, mental-models-first primer that explains what Claude Code is and how its agentic loop works, then layers setup, prompt-engineering workflows, skills, hooks, MCP, subagents, and agent teams, with an experience-tiered path for newcomers.

• claude-howto by luongnv89 - A structured, chapter-based getting-started guide for Claude Code with a self-assessment quiz and a ten-module progressive learning path — slash commands, memory, skills, subagents, MCP, hooks, plugins, and checkpoints — with visual diagrams and copy-paste templates.

• explore-claude-code by Luke Renton - An interactive click-through of an annotated Claude Code project where every file and folder — CLAUDE.md, settings.json, rules, commands, skills, agents, hooks, plugins, and .mcp.json — is a real, explained concept, teaching the tool's surface area by orientation rather than prose.

• Learn Claude Code by shareAI-lab - A really interesting analysis of how coding agents like Claude Code are designed. It attempts to break an agent down into its fundamental parts and reconstruct it with minimal code. Great learning resource. Final product is a rudimentary agent with skills, sub-agents, and a todo-list in roughly a few hundred lines of Python.