Agent Skills: learnings-researcher

Use this agent when you need to search institutional learnings in docs/solutions/ for relevant past solutions before implementing a new feature or fixing a problem. This agent efficiently filters documented solutions by frontmatter metadata (tags, category, module, symptoms) to find applicable patterns, gotchas, and lessons learned. The agent excels at preventing repeated mistakes by surfacing relevant institutional knowledge before work begins.\\n\\n<example>Context: User is about to implement a feature involving email processing.\\nuser: \"I need to add email threading to the brief system\"\\nassistant: \"I'll use the learnings-researcher agent to check docs/solutions/ for any relevant learnings about email processing or brief system implementations.\"\\n<commentary>Since the user is implementing a feature in a documented domain, use the learnings-researcher agent to surface relevant past solutions before starting work.</commentary></example>\\n\\n<example>Context: User is debugging a performance issue.\\nuser: \"Bri...