continuous-learning

To automate knowledge management, this skill monitors user requests and problem-solving activities to identify non-trivial learnings. It automatically converts these learnings into Claude Code skills, creating an evolving library that conforms to quality gates and frontmatter versioning standards.

New skills are created when identified knowledge is reusable, non-trivial, and verifiable. Activation occurs via explicit retrospective invocations or automatic semantic matching across user prompts and sessions, conforming to skill frontmatter and quality gate standards.

Yes, continuous learning automation applies across all user prompts, sessions, and problem-solving tasks to capture non-obvious learnings. It monitors activities to build an evolving skill library, conforming to versioning standards and quality gates.

No, building skills does not require manual extraction from every session. The automation uses semantic matching to automatically identify and codify reusable knowledge, though explicit retrospective invocations can also be run to force extraction.

Automatic skill extraction is limited to creating skills only when knowledge is reusable, non-trivial, and verifiable. This quality gate prevents low-value entries but means routine or obvious learnings from coding sessions are intentionally not captured in the skill library.