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Knowledge Extractor

rysweet/amplihack

This extracts learnings from debugging sessions, failed attempts, and solved problems so they don't disappear when the conversation ends. It structures insights into three buckets: discoveries (bugs and root causes), patterns (reusable solutions), and agent recommendations (workflows you've repeated enough times that automation makes sense). The skill hooks into Kuzu memory backend and suggests updates to PATTERNS.md. Honestly most valuable after you've spent 45 minutes debugging something obscure, since it forces you to write down what actually went wrong and why, which is the stuff you'll forget in two weeks but desperately need when the issue resurfaces.

skills.sh installs
281
GitHub stars
76
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add rysweet/amplihack --skill knowledge-extractor --agent claude-code

Installs into .claude/skills of the current project.

Files

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

SKILL.md on GitHub

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Details

Repository
github.com/rysweet/amplihack
Categories
Backend & APIs, AI & Agent Building, Debugging
First seen
Jun 3, 2026

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