learn

Extract session learnings into reusable skill files with structured sections.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/AndreaMentasti/tweet-election --skill learn-andreamentasti
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/AndreaMentasti/tweet-election/tree/main/.claude/skills/learn
Command: npx skills add https://github.com/AndreaMentasti/tweet-election --skill learn-andreamentasti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you capture valuable, non-obvious insights and multi-step workflows discovered during a session, transforming them into persistent, reusable skills for future use.

Core Features & Use Cases

  • Knowledge Codification: Extracts learnings that are not readily available in documentation.
  • Workflow Automation: Creates reusable skills for complex or repetitive tasks.
  • Use Case: After spending hours debugging a tricky error and finding a unique workaround, use this skill to document the problem, the workaround, and the solution so you (or others) don't have to rediscover it.

Quick Start

Use the learn skill to create a new skill named 'fix-flaky-test-scenario'.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I document debugging workarounds to avoid solving the same error twice?

To document debugging workarounds, you can capture the non-obvious knowledge into a reusable skill file. This codifies the problem, context, solution, and verification steps so the specific workflow is preserved and avoids duplication of effort.

What is the best way to capture multi-step workflows for workflow automation?

The best way to capture multi-step workflows for workflow automation is to extract the process into a structured skill file. This evaluates the learning, checks for existing skills, and creates a new reusable file with specific sections like Example and References.

What sections should be included when creating a new skill for knowledge capture?

When creating a new skill for knowledge capture, the file should include specific sections: Problem, Context, Solution, Verification, Example, and References. This structure ensures the non-obvious knowledge is codified logically for future reuse.

Does knowledge capture into reusable skills check for existing duplicates?

Yes, the knowledge capture process checks for existing skills before creating a new one. This prevents duplication of effort and ensures that only new, non-obvious insights and unique workarounds are codified as separate reusable files.

When should I use a structured skill file for reusability instead of standard documentation?

You should use a structured skill file for reusability when standard documentation is insufficient for complex multi-step workflows. It is designed to extract non-obvious knowledge, perform quality checks, and codify discoveries that are not readily available in typical documentation.