skill-discovery

To identify candidate skills from Notion workspaces and code repositories, the Skill scans your databases, project docs, and local repos to surface patterns and gaps, then maps them to an existing skills catalog for human-in-the-loop review.

Human-in-the-loop skill discovery presents potential skills extracted from your sources for user validation before any creation occurs. It imposes constraints to avoid autonomous skill creation, requiring human review and approval to ensure quality and governance.

You surface potential skills from Notion databases and documentation by asking the AI to scan your workspace. It applies source-agnostic search across docs and repos to identify patterns, presenting structured candidates for validation before migrating them into your Skills DB.

Yes, you can scan local repositories and Notion project docs to find gaps in your existing skills catalog. The Skill reconciles discovered patterns against your established skills database, highlighting missing capabilities for human validation and subsequent migration.

Skill discovery works without automatically creating new skills by design. It strictly imposes constraints to avoid autonomous skill creation, surfacing candidate skills exclusively for human validation before any migration into the established skills database occurs.

The best way to map discovered project patterns to an established skills database is using a HITL-first workflow. The Skill identifies patterns from Notion and repositories, aligns them with your existing catalog, and migrates only validated candidates.