skill-extractor

Extract actionable patterns from conversations into reusable Claude Code Skill templates.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/maxgent-ai/maxgent-plugin --skill skill-extractor-maxgent-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-extractor
Source: https://github.com/maxgent-ai/maxgent-plugin/tree/main/skills/skill-extractor
Command: npx skills add https://github.com/maxgent-ai/maxgent-plugin --skill skill-extractor-maxgent-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes conversation history to extract actionable patterns and converts them into reusable Claude Code Skill templates.

Core Features & Use Cases

  • Extract success patterns, failed attempts, and best practices from a chat.
  • Generate a ready-to-edit SKILL.md that can be saved as a new skill.
  • Automate the boilerplate creation for new Claude Code Skills from context.

Quick Start

Provide a concise skill name, a brief description, and trigger words to generate the new SKILL.md.

Frequently Asked Questions about skill-extractor

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

FAQPage Schema
How do I turn a conversation into a reusable Claude Code skill?

Turning a conversation into a Claude Code skill requires providing a skill name, description, and trigger words, which extracts actionable patterns and generates a ready-to-edit SKILL.md template with frontmatter, body, and optional components.

What is the best way to extract actionable patterns from chat history for automation?

Extracting actionable patterns from chat history involves analyzing captured experiences and lessons learned to convert them into a structured template containing frontmatter, a descriptive body, and optional scripts, references, and assets.

How do I generate a SKILL.md file from existing project decisions?

Generating a SKILL.md file from project decisions involves analyzing conversation history for best practices and failed attempts, then outputting a structured template with basic safety and validation checks to codify experiences for future project reuse.

Does skill extraction work without adding dependencies or components?

Skill extraction works without external dependencies by analyzing conversation context and outputting a structured SKILL.md template that includes optional components like scripts, references, and assets for future reuse across projects.

When should I use conversation analysis to create skill templates?

Use conversation analysis to create skill templates during sessions where teams capture experiences, decisions, and lessons learned that require codification for future reuse across projects to ensure structured output and validation.