best-skills vs awesome-agent-skills

Agent skill rankings compared with a curated skills directory

best-skills ranks agent skills using registry, growth, maintenance, and social signals, while keeping platform counts distinct. awesome-agent-skills curates linked skills by provider and task so developers can find guidance for coding agents.

best-skillsawesome-agent-skills
Languagenot specifiednot specified
LicenseNOASSERTIONMIT
Stars62835.2k
Forks183.8k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • best-skills provides nine rankings and dated CSV snapshots; awesome-agent-skills is a browsable index with descriptions and links to individual skills.
  • best-skills combines normalized signals and reports coverage, while awesome-agent-skills organizes hand-picked entries by provider and task.
  • best-skills is aimed at comparing skill activity and studying ecosystem trends; awesome-agent-skills is aimed at finding reusable instructions for development workflows.
  • best-skills reports its license as NOASSERTION in repository metadata and says its data and documentation are CC BY 4.0; awesome-agent-skills is MIT licensed, though linked skills may have different terms.
  • awesome-agent-skills lists compatibility with coding agents including Claude Code, Codex, Gemini CLI, and Cursor; best-skills provides rankings and data rather than a directory organized around agent compatibility.

Choose best-skills if you…

  • want to compare skill rankings across several registries without treating their counts as equivalent.
  • need CSV snapshots for research, analysis, or custom rankings.
  • want to track install trends, social activity, or publisher verification.
Read the best-skills analysis →

Choose awesome-agent-skills if you…

  • need to find skills for a particular provider, task, or development workflow.
  • want to browse curated guidance for coding agents such as Claude Code, Codex, Gemini CLI, or Cursor.
  • prefer following links to inspect and install individual skills from their source repositories.
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.