Knowledge Extractor Skill

Purpose

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.

When to Use This Skill

• Session End Analysis: Extract learnings before session context is lost
• After Complex Debugging: Capture root causes and solutions while fresh
• Following Failed Attempts: Document what didn't work and why
• Successful Problem Solving: Preserve solutions for future reuse
• New Pattern Discovery: Identify patterns that should be documented
• Repeated Workflows: Recognize when to create new specialized agents
• Cross-Session Learning: Build organizational memory from individual sessions

Core Philosophy: Knowledge Preservation

Session Context: Ephemeral conversation context that will be lost without active preservation