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.