learn

Synthesize scattered source material into structured research outputs.

8|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/OiAnthony/.agents --skill learn-oianthony
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/OiAnthony/.agents/tree/main/skills/learn
Command: npx skills add https://github.com/OiAnthony/.agents --skill learn-oianthony

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Learn skill turns scattered notes, links, and source material into a coherent understanding of a topic when a simple lookup is not enough. It is designed for unfamiliar domains, mixed-source research, and situations where the final result needs to teach, not just summarize.

Core Features & Use Cases

  • Multi-source research workflow: Collects primary sources, digests them, builds an outline, drafts the content, then refines and self-reviews the result.
  • Flexible output modes: Supports deep research, quick reference, write-to-learn, and canonical article workflows depending on the user's goal.
  • Contradiction handling and evidence tracking: Surfaces source URLs, notes, outline decisions, and conflicting claims instead of hiding uncertainty.
  • Use case: Use it to turn scattered product docs, papers, or repository notes into a publish-ready article or a dependable internal reference.

Quick Start

Use the learn skill to research this topic from multiple sources and turn the findings into a publish-ready reference.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I synthesize scattered notes and links into a coherent research brief?

To synthesize scattered notes into a research brief, collect primary sources, digest the material, build an outline, draft the content, and refine the output through self-review before publishing. This workflow surfaces source URLs and handles conflicting claims to ensure dependable reference material.

What is the best way to handle contradictory claims during multi-source research?

Handling contradictory claims during multi-source research involves surfacing conflicting information and source URLs instead of hiding the uncertainty. The process tracks evidence throughout the outline-driven drafting and refinement stages to produce a transparent, publish-ready canonical article.

How do I turn unfamiliar domain notes into a publish-ready canonical article?

Turning unfamiliar domain notes into a canonical article requires an outline-driven drafting workflow that digests collected materials, structures the content, and applies self-review. This approach ensures the final output teaches the domain effectively rather than just summarizing the sources.

Can I use this workflow to build a quick reference from mixed-source product docs?

Yes, you can build a quick reference from mixed-source product docs using flexible output modes. The multi-source research workflow digests the collected materials, builds a structured outline, and refines the content to create a dependable internal reference tailored to your specific goal.

When do I need outline-driven drafting for knowledge synthesis?

Outline-driven drafting for knowledge synthesis is needed when a simple lookup is insufficient for unfamiliar domains or collected materials. It structures the workflow by requiring source collection, contradiction handling, refinement, and self-review to transform scattered notes into a coherent understanding.

What are the limitations of using automated knowledge synthesis for article drafting?

The limitations of automated knowledge synthesis for article drafting include the necessity of providing sufficient source collection upfront. The workflow requires explicit contradiction handling and self-review steps, meaning it cannot generate dependable reference material from incomplete or missing primary sources.