skill-learner

Analyze conversations to identify repeatable patterns and corrections for skill updates.

1|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/moogah/claude_skills --skill skill-learner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-learner
Source: https://github.com/moogah/claude_skills/tree/main/skill-learner
Command: npx skills add https://github.com/moogah/claude_skills --skill skill-learner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyzes conversations to identify learnings and patterns that should be captured as formal skills, enabling systematic improvement of how work is done.

Core Features & Use Cases

  • Surface repeatable patterns, corrections, and insights from sessions for potential skill updates or new skill creation.
  • Apply the decision framework to decide between updating existing skills or creating new ones, and to determine whether changes apply locally or at the user level.
  • Generate concise proposals for user review and integration into the skills catalog.

Quick Start

Review the current session context to identify and surface learnings worthy of skill creation or updates.

Frequently Asked Questions about skill-learner

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

FAQPage Schema
How do I identify repeatable workflow patterns from conversations to create new skills?

Analyze conversations to identify repeatable patterns and corrections, then apply a decision framework to determine if they warrant skill updates or new skill creation. This process systematically surfaces insights from sessions to assess their significance and scope.

What is the best way to decide between updating an existing skill or creating a new one from session learnings?

Use a decision framework to evaluate conversation learnings and determine whether to update existing skills or create new ones. This framework helps assess the significance and scope of identified patterns, deciding if changes apply locally or at the user level.

Can I apply pattern recognition across multiple sessions, repos, and teams to surface actionable skills?

Yes, you can apply pattern recognition across sessions, repos, and teams to identify significant learnings. This broad application helps determine whether identified corrections should be captured as local changes or broader user-level skill updates.

How do I turn session insights into concise proposals for a skills catalog?

Generate concise proposals by applying a decision framework to the repeatable patterns found in your conversations. These proposals are then presented for user approval before integration into the skills catalog.

What is the process for assessing whether a learned workflow pattern applies locally or at the user level?

Assess learned workflow patterns by applying a decision framework that evaluates significance and scope across sessions, repos, and teams. This framework guides whether the captured corrections should be implemented locally or pushed as user-level skill updates.

Do I need prior skill-creation experience to surface learnings from my conversation sessions?

No prior skill-creation experience is required to surface learnings from your sessions. The process identifies repeatable patterns and corrections directly from conversations, applying a structured framework to generate proposals for your review.