agent-skills vs compound-engineering-plugin

Reusable AI coding-agent workflows compared

agent-skills and compound-engineering-plugin both provide structured workflows for AI coding agents, covering work such as planning, implementation, and review. agent-skills focuses on specification-driven steps and optional sprint-level automation, while compound-engineering-plugin emphasizes a repeatable engineering loop that records lessons for future work.

agent-skillscompound-engineering-plugin
LanguageShellTypeScript
LicenseMITMIT
Stars225.4k
Forks02.1k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • agent-skills organizes work around specifications, task lists, acceptance tests, and issue-to-PR workflows; compound-engineering-plugin includes brainstorming, planning, implementation, review, and captured engineering lessons.
  • agent-skills supports agents that implement the SKILL.md format and offers cmux-based delegation; compound-engineering-plugin supports hosts including Claude Code, Cursor, and Codex.
  • agent-skills is written in Shell, while compound-engineering-plugin is written in TypeScript.
  • Both projects use the MIT license and are not archived.
  • The provided repository figures differ: agent-skills has 2 stars and 0 forks, while compound-engineering-plugin has 25.4k stars and 2.1k forks.

Choose agent-skills if you…

  • need a specification-to-PR process with requirements, tasks, and acceptance test plans.
  • want optional autonomous sprint workflows with checkpoints and explicit project boundaries.
  • need skills for project coding rules or converting Claude Code MCP settings to Codex CLI configuration.
Read the agent-skills analysis →

Choose compound-engineering-plugin if you…

  • want reusable engineering lessons recorded for future agent tasks.
  • need skills for brainstorming, code explanation, debugging, Git workflows, and related tasks.
  • use an agent host such as Claude Code, Cursor, or Codex and want an opinionated planning and review process.
Read the compound-engineering-plugin 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.