Verified:GitHub

learner

Extract learned skills from conversations into YAML-frontmatter Markdown files.

5|Updated Mar 16, 2026

Search Tags:#copilot #knowledge-capture #skill-extraction #debugging-insights #conversational-learning #reasoning-skills

Ready to run

npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill learner-robinnorberg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learner
Source: https://github.com/RobinNorberg/oh-my-copilot/tree/main/skills/learner
Command: npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill learner-robinnorberg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract learned skills from conversations to preserve codified insights that would otherwise be lost.

Core Features & Use Cases

Build a library of reusable decision-making principles for Copilot.
Capture context from difficult debugging sessions and generalize for future tasks.
Use these insights to guide future problem-solving without re-deriving the same reasoning.

Quick Start

Capture a deep investigative insight from a debugging session and save it as a learner skill.

Frequently Asked Questions about learner

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

FAQPage Schema

How do I capture reusable reasoning skills from Copilot conversations?▼

Capture reusable reasoning skills by extracting problem statements, solutions, triggers, and scope from debugging conversations, then saving them as YAML-frontmatter Markdown files to preserve codified insights for Copilot.

What is conversational learning for tricky bugs in software engineering?▼

Conversational learning for tricky bugs involves reflecting on context-specific investigations and generalizing non-obvious workarounds into reusable decision-making principles, preventing the need to re-derive the same reasoning in future debugging tasks.

How do I document non-obvious workarounds as a reusable skill?▼

Document non-obvious workarounds by defining the problem statement, solution, triggers, and scope, then validating these elements against quality criteria to save a generalized, reusable skill with YAML frontmatter and a Markdown body.

Does Copilot support extracting knowledge from debugging sessions automatically?▼

Copilot supports extracting knowledge from debugging sessions by applying skill extraction to conversational learning, requiring manual documentation of the problem statement, solution, triggers, and scope to validate and save the codified insights.

When should I generalize context-specific investigations into a knowledge base?▼

Generalize context-specific investigations into a knowledge base when a debugging session yields non-obvious workarounds or tricky bugs requiring reflection, ensuring the reasoning is preserved as a reusable YAML-frontmatter skill for future problem-solving.