skill-miner

Analyze Claude and Codex conversation history to extract and classify reusable patterns.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/matz-d/daytrace --skill skill-miner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-miner
Source: https://github.com/matz-d/daytrace/tree/main/plugins/daytrace/skills/skill-miner
Command: npx skills add https://github.com/matz-d/daytrace --skill skill-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of identifying recurring patterns and best practices within your AI conversation history (Claude/Codex), helping you codify them into reusable skills, hooks, or agents.

Core Features & Use Cases

  • Pattern Extraction: Analyzes AI chat logs to find repetitive tasks, instructions, or workflows.
  • Classification & Proposal: Categorizes identified patterns into CLAUDE.md, skill, hook, or agent and proposes them for formalization.
  • Use Case: After a week of using Claude for code reviews, this Skill can identify that you consistently ask for specific types of feedback and suggest creating a new skill or CLAUDE.md rule to standardize this process.

Quick Start

Run the skill miner prepare script to analyze your AI conversation history for reusable patterns.

Frequently Asked Questions about skill-miner

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

FAQPage Schema
How do I extract reusable patterns from Claude conversation history?

You can extract reusable patterns from Claude conversation history by analyzing chat logs to identify repetitive tasks and instructions, then classifying them into formats like CLAUDE.md, skills, hooks, or agents for formalization.

What is the best way to codify recurring AI workflows into reusable skills?

To codify recurring AI workflows into reusable skills, analyze conversation history for repetitive instructions, evaluate their suitability, and propose them for formalization as standardized skills or CLAUDE.md rules.

Can I use Codex chat logs to generate CLAUDE.md rules and agents?

Yes, you can use Codex chat logs to generate CLAUDE.md rules and agents by analyzing conversation history to classify potential patterns and proposing them for formalization into reusable formats.

How do I automate workflow optimization from AI chat logs?

You automate workflow optimization from AI chat logs by running a prepare script that analyzes conversation history to find repetitive tasks, categorizes them, and proposes them for formalization to retain knowledge.

Does pattern extraction work without any external dependencies?

Yes, pattern extraction works without external dependencies, using built-in scripts and references to analyze conversation history and classify identified patterns into hooks, skills, or agents.