related-skills-surfacer

Community skill discovery uses keyword overlap and practice profile matching to surface relevant skills, reducing search friction by emitting a single non-intrusive suggestion when match thresholds are met.

Skill recommendation matching compares your task description against a registry cache using keyword overlap and practice profile alignment, filtering out weak matches and already installed skills before suggesting alternatives.

Duplicate skill suggestions are prevented by tracking feedback and surfaced items in a local references file, ensuring a single skill is never offered to the user more than once.

Passive skill surfacing triggers at the end of builder workflows by loading a practice profile from a local CLAUDE.md file and consulting a registry cache, requiring hook integration for automatic execution.

Weak matches are excluded to reduce noise and prevent unnecessary redirects, ensuring only highly relevant community skills meeting the match threshold are surfaced to the user.

Skill discovery requires loading a practice profile from a local CLAUDE.md file to evaluate compatibility and filter community registry suggestions accurately.