awesome-claude-code vs awesome-agent-skills

Curated directories for Claude Code and AI agent resources

awesome-claude-code and awesome-agent-skills are curated directories that help developers find resources for AI coding workflows. The first spans tools, integrations, learning materials, and alternatives centered on Claude Code, while the second focuses on reusable skills for multiple coding agents.

awesome-claude-codeawesome-agent-skills
Languagenot specified.not specified
LicenseCC0-1.0.MIT
Stars523.35.2k
Forks620.3.8k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • awesome-claude-code covers a broad range of resource types, including plugins, utilities, IDE integrations, SDKs, guides, and alternatives; awesome-agent-skills focuses on task-specific skills.
  • awesome-claude-code organizes its directory by resource categories, while awesome-agent-skills groups listings by provider and describes the tasks they support.
  • awesome-claude-code includes resources for Claude Code and other coding agents; awesome-agent-skills explicitly lists compatibility across products such as Claude Code, Codex, Gemini CLI, and Cursor.
  • awesome-claude-code is licensed CC0-1.0, while awesome-agent-skills is licensed MIT; each linked resource may have its own terms.
  • awesome-claude-code has 523 stars and 620 forks, while awesome-agent-skills has 35.2k stars and 3.8k forks.

Choose awesome-claude-code if you…

  • need to browse a broad directory of Claude Code tools, integrations, guides, and alternatives.
  • want to compare options such as plugins, IDE integrations, SDKs, or agent orchestration resources.
  • are looking for learning materials or resources that may work across coding agents.
Read the awesome-claude-code analysis →

Choose awesome-agent-skills if you…

  • want reusable, task-specific skills for an existing AI coding agent.
  • need to find skills by provider for topics such as testing, security, frameworks, or APIs.
  • want to browse skills listed for multiple agents, including Codex, Gemini CLI, and Cursor.
Read the awesome-agent-skills analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.