Auto Research is an AI Engineering skill for Claude Code, published by aeonfun in aeon.
Auto Research evolves an existing skill by generating variations, scoring them, and replacing the original with the best version. Use it when you want to improve a skill’s inputs, output, reliability, or overall approach.
Auto Research is cataloged under AI Engineering on DirSkills. Auto Research comes from a repository tagged agent-framework, agents, ai, ai-agents and anthropic.
Documentation
${var} — Name of the skill to evolve (e.g.
token-movers). Required.
If ${var} is empty, abort with: "autoresearch requires var= set to a skill name" and exit.
Read memory/MEMORY.md for context.
Improve an existing skill by researching better approaches, generating 4 distinct variations, scoring them against a rubric, and committing the winning version as a PR.
This is the opening of the README. Read the full README on GitHub.
Auto Research is one of 25 skills that DirSkills catalogs from aeonfun/aeon, the repository it ships in. Its siblings there include Action Converter, Aeon Doctor and Aeon Update. Each one is a separate skill with its own page in this directory, installs the same way Auto Research does, and is maintained by aeonfun in that same repository. The rest of the collection is listed on the aeonfun/aeon page.
Auto Research ranks #1795 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Auto Research against them. Open each page to compare what they document and how they install.
Auto Research is one of 25 skills cataloged on DirSkills from aeonfun/aeon.
Auto Research is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1795 by stars among them.