learner

Extract domain-specific patterns from conversations into reusable Claude skill artifacts.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/ClementATH/oh-my-claudecode --skill learner-clementath
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learner
Source: https://github.com/ClementATH/oh-my-claudecode/tree/main/skills/learner
Command: npx skills add https://github.com/ClementATH/oh-my-claudecode --skill learner-clementath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract learned patterns from conversations to convert informal insights into actionable, reusable Claude skills, accelerating learning and improvement loops.

Core Features & Use Cases

  • Extracts domain-specific patterns from chats and transcripts and converts them into Expertise or Workflow artifacts.
  • Maintains a centralized knowledge base of learned skills with versioned updates and clear triggers.
  • Enables rapid improvement by turning real conversations into repeatable thinking patterns for Claude.

Quick Start

Summarize a recent conversation and generate a reusable skill artifact for inclusion in the knowledge base.

Frequently Asked Questions about learner

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

FAQPage Schema
How do I extract actionable skills from chat transcripts?

To extract actionable skills from chat transcripts, this Skill identifies domain-specific patterns and decision-making heuristics, converting them into structured Expertise or Workflow artifacts with defined triggers and examples.

What is the best way to turn conversation logs into reusable knowledge?

Turning conversation logs into reusable knowledge involves analyzing dialogue to capture non-obvious insights, which are then structured into versioned artifacts detailing problem statements and exact solutions for a centralized knowledge base.

Can I use conversation analysis to capture domain-specific expertise from dialogue logs?

Yes, you can use conversation analysis to capture domain-specific expertise from dialogue logs. The process extracts context-specific insights and decision-making heuristics to produce structured artifacts for Claude.

How to create structured workflow artifacts from informal conversation insights?

Creating structured workflow artifacts from informal conversation insights requires analyzing chat transcripts to detail problem statements, exact solutions, triggers, and practical examples, thereby accelerating AI learning loops.

Does this Skill work with raw chat transcripts for skill extraction?

Yes, this Skill works directly with raw chat transcripts and dialogue logs from a variety of domains to perform skill extraction, capturing context-specific insights without requiring additional dependencies.

What are the limitations of extracting non-obvious patterns from conversations?

The limitation of extracting non-obvious patterns is that the quality of the generated Expertise or Workflow artifacts depends heavily on the clarity and context depth of the original conversation transcripts.