related-skills-surfacer

Finding community skills based on recent plugin activity involves checking keyword overlap, practice profile fit, and non-already-installed status to suggest relevant plugins. This process saves time by matching your current task context with available ecosystem resources.

Discovering plugin recommendations for a specific task is best achieved by querying the ecosystem for skill matching based on recent activity. The system analyzes your current workflow context to surface non-installed community skills that align with your practice profile.

Getting skill suggestions automatically when using other plugins is possible by integrating a Stop hook. This passive invocation triggers the discovery mechanism to surface relevant community skills after completing actions in your active plugins.

A suggested community skill fits your current workflow when it matches keyword overlap and practice profile fit criteria. The recommendation engine specifically filters for non-already-installed skills that align with your recent activity patterns.

Activity-based skill matching limitations include dependency on recent plugin activity data and keyword overlap analysis. The mechanism only suggests non-already-installed community skills, meaning previously installed tools will not appear in recommendation results.