knowledge-extractor

SKILL.md

This skill automatically extracts, synthesizes, and preserves knowledge from conversations, debugging sessions, failed attempts, and solved problems. It converts ephemeral interactions into persistent organizational knowledge that improves future performance.

Session Context: Ephemeral conversation context that will be lost without active preservation Persistent Knowledge: Structured learnings that improve future performance Pattern Recognition: Identifying when solutions are repeated and should be automated Organizational Growth: Converting individual learning into system-wide improvement

What it captures: Problems encountered, root causes identified, solutions implemented

Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Stores discoveries in memory (via amplihack.memory.discoveries), suggests PATTERNS.md updates, and recommends new agent creation. Ensures knowledge persists across sessions via Kuzu memory backend. Source: rysweet/amplihack.

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