Meta Recursive Discovery

Enabling agents to autonomously search for and adopt new specialized skills.

jcorpac 36011c5 958 B Updated

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Meta-Recursive Discovery

An agent should know what it doesn't know and where to find the answers.

The Discovery Loop

  1. Impediment Detection: Identifying when a task requires a skill not currently in the active context.
  2. Library Search: Using search tools to look for specialized skills in the root directory.
  3. Self-Correction: Updating the current approach based on the found skill's instructions.

Autonomous Improvement

  • Template Usage: Using the template-skill to create new temporary skills when a unique problem is solved, effectively growing the library's wisdom over time.

Best Practices

  • Documentation Hygiene: Maintaining a clean index so discovery remains fast.
  • Verification: Always cross-reference discovered skills with established best practices (e.g., ADRs).

jcorpac/ai-skills-library/tree/main/meta/meta-recursive-discovery commit 36011c5233

Frequently asked questions

npx skillmds@latest add jcorpac/meta-recursive-discovery