learnings-researcher

You can search documented solutions by running this Skill against your knowledge base using feature descriptions. It applies a grep-first strategy to pre-filter documents, then analyzes frontmatter to score relevance and surface institutional knowledge for software planning or debugging.

Finding institutional knowledge is best handled by querying your documentation base with the target feature description. The Skill narrows down relevant past findings and lessons learned, ensuring you leverage existing solutions before new work begins.

Grep pre-filtering works by rapidly scanning the knowledge base to narrow down relevant documents based on your feature description. After grep narrows the pool, frontmatter analysis scores the remaining documents to identify the most applicable debugging solutions.

Using this approach relies heavily on frontmatter analysis for relevance scoring after the initial grep filter. Without structured frontmatter in your documentation, the Skill cannot accurately evaluate and rank which past findings apply to your current software development task.

You should not rely on documented solutions when your knowledge base lacks entries for similar features or modules. If the grep pre-filtering returns no matches for your feature description, there is no institutional knowledge to surface for that specific planning context.