curate-learnings

Analyze learning files to extract patterns and generate actionable recommendations.

2|Updated Nov 6, 2015
One-click install
npx skills add https://github.com/ahoym/dotfiles --skill curate-learnings
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: curate-learnings
Source: https://github.com/ahoym/dotfiles/tree/main/.claude/commands/curate-learnings
Command: npx skills add https://github.com/ahoym/dotfiles --skill curate-learnings

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of reviewing and organizing learning materials, ensuring that valuable insights are transformed into reusable skills, guidelines, or templates, and identifying outdated content.

Core Features & Use Cases

  • Pattern Identification: Analyzes learning files to extract discrete patterns and summaries.
  • Classification: Categorizes patterns into skill candidates, templates, context, guidelines, standalone references, or outdated content using a defined model.
  • Cross-referencing: Checks for existing skills and guidelines to avoid duplication and identify enhancement opportunities.
  • Actionable Recommendations: Suggests specific actions like migrating content, creating new skills, or flagging items for review.
  • Use Case: After a week of research, you have several .md files detailing new processes. Use this Skill to automatically review these files, suggest which parts should become new skills (e.g., a new deployment checklist), which can be added as context to existing skills (e.g., explaining a new error code), and which are no longer relevant.

Quick Start

Use the curate-learnings skill to analyze the learning file '~/learnings/new-api-patterns.md'.

Frequently Asked Questions about curate-learnings

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

FAQPage Schema
How do I extract actionable skills from markdown learning notes?

To extract actionable skills from markdown learning notes, you can analyze the files to identify discrete patterns and classify them into skill candidates, templates, or guidelines. This process transforms raw research insights into reusable, structured content.

What is the best way to organize learning files into reusable guidelines and templates?

Organizing learning files into reusable guidelines involves scanning the content, cross-referencing existing skills to avoid duplication, and classifying patterns using a defined model. This generates actionable recommendations for migrating content or creating new guidelines.

How does pattern classification work for knowledge management and skill development?

Pattern classification for skill development works by scanning specified learning files, extracting discrete patterns, and categorizing them into skills, templates, context, guidelines, or outdated content. It cross-references existing materials to flag underutilized skills for review.

Can I check new learning patterns against existing skills to prevent duplication?

Yes, you can check new learning patterns against existing skills by cross-referencing extracted insights with your current knowledge base. This identifies enhancement opportunities, avoids duplication, and flags underutilized skills for targeted review.

How do I identify outdated content in my knowledge management system?

To identify outdated content in your knowledge management system, analyze your learning files and classify extracted patterns using a defined model. The process flags obsolete information and generates recommendations for deletion or review.

Does curate-learnings work with standalone reference files?

Yes, curate-learnings works with standalone reference files by scanning them to extract discrete patterns. It classifies these patterns to determine whether they should remain standalone references, become new skills, or be migrated into existing guidelines.