Skill Discovery

To find reusable skills, you can search external sources using a defined search workflow to fetch, deduplicate, and score candidate skills based on relevance, quality, freshness, and adoption.

Evaluating existing external skills requires scoring candidates across defined dimensions like relevance and adoption, then classifying each discovered skill to reuse, reference, or discard.

Searching for existing skills across multiple platforms involves scanning enabled sources for a given capability, fetching detail pages, and deduplicating overlapping results automatically.

Automating skill discovery prevents redundant code creation by scanning external sources for relevant skills, scoring each candidate, and providing recommendations to reuse or reference existing solutions.

Yes, searching for external skills requires predefined scoring dimensions and a defined search workflow to properly evaluate and classify candidates for reuse, reference, or discard.

Classifying discovered skills involves scoring fetched candidates based on relevance and freshness, then sorting them into clear categories to reuse, reference, or discard.