skill-extractor

Extract reusable problem-solving techniques and patterns from work sessions.

Updated Mar 1, 2026

Search Tags:#debugging #problem-solving #knowledge preservation #skill extraction #work session analysis

Ready to run

npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill skill-extractor-cpfcoaching

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-extractor
Source: https://github.com/cpfcoaching/glowing-palm-tree/tree/main/.skills_backup/skill-extractor
Command: npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill skill-extractor-cpfcoaching

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the extraction of reusable skills from work sessions, allowing for streamlined documentation and knowledge base organization.

Core Features & Use Cases

Skill Extraction: Identifies and extracts reusable knowledge from work sessions.
Contextual Use: Useful for preserving non-obvious problem-solving techniques, discovered patterns, and debugging techniques.
Use Case: Imagine you've solved a complex problem through a non-standard approach. Use this Skill to capture and save that solution for future reference.

Quick Start

Use the /skill-extractor command to extract a skill from your current work session, providing context as needed.

Frequently Asked Questions about skill-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract reusable skills from a work session?▼

To extract reusable skills from a work session, you can analyze conversation history and context to identify non-obvious problem-solving techniques, patterns, and debugging methods. This process automates the preservation of project-specific knowledge.

What is the best way to document non-obvious debugging techniques?▼

Documenting non-obvious debugging techniques is best achieved by automating skill extraction from your work sessions. It identifies discovered patterns and problem-solving approaches, streamlining your knowledge base organization for collaborative learning.

Can I preserve project-specific knowledge from problem-solving sessions?▼

Yes, you can preserve project-specific knowledge by extracting reusable skills from your work sessions. This analyzes your conversation history to capture non-obvious problem-solving techniques and discovered patterns for future reference.

How do I capture discovered patterns for collaborative learning environments?▼

You capture discovered patterns for collaborative learning environments by analyzing work session context to extract reusable skills. This identifies non-obvious problem-solving and debugging techniques, streamlining documentation for your team.

Do I need to provide conversation history to analyze work sessions?▼

Yes, providing conversation history and context is required to analyze work sessions. This input allows the skill extraction process to identify non-obvious problem-solving techniques and debugging methods for knowledge preservation.

When should I not use automated skill extraction for knowledge preservation?▼

Automated skill extraction for knowledge preservation may not suit sessions lacking complex problem-solving or non-obvious debugging techniques. It requires substantial conversation history and context to effectively identify reusable patterns and document skills.