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yankeeinlondon
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research

Automate library research and generate structured documentation files.

3|Updated Jan 10, 2026
Search Tags:#automation#documentation#research#llm#library#pipeline#knowledge
One-click install
npx skills add https://github.com/yankeeinlondon/rusty-biscuit --skill research-yankeeinlondon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/yankeeinlondon/rusty-biscuit/tree/main/.claude/skills/research
Command: npx skills add https://github.com/yankeeinlondon/rusty-biscuit --skill research-yankeeinlondon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates library research and documentation generation for software libraries.

Core Features & Use Cases

  • Two-phase LLM pipeline to generate structured library documentation
  • Generates skill-ready outputs (SKILL.md, deep_dive.md, brief.md)
  • Supports integration with pull/link workflows to share research with other repos

Quick Start

Command it to research a library topic and it will produce a deep-dive document, a structured overview, and a ready-to-publish skill.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate library research and documentation generation for software libraries?▼

Automate library research by using a two-phase LLM pipeline that synthesizes initial analysis into structured documentation artifacts. This pipeline generates a deep-dive document, a structured overview, and a ready-to-publish skill file for software libraries.

What is a two-phase LLM pipeline for knowledgebase creation?▼

A two-phase LLM pipeline for knowledgebase creation processes raw library research in Phase 1 and synthesizes those outputs into Phase 2 artifacts. It produces structured documentation including deep dive files, briefs, and skill-ready knowledge outputs.

Can I generate skill-ready documentation outputs from library analysis?▼

Yes, you can generate skill-ready documentation outputs from library analysis. The pipeline produces SKILL.md, deep_dive.md, and brief.md files, creating structured overviews and deep dives ready for immediate knowledgebase integration.

Does the research pipeline support integration with pull and link workflows?▼

Yes, the research pipeline supports integration with pull and link workflows to share generated library documentation with other repositories. This enables automated knowledgebase synchronization across multiple codebases and team environments.

What is the best way to create structured documentation for a software library?▼

The best way to create structured documentation for a software library is deploying an AI-driven research automation pipeline. It synthesizes library analysis into a structured overview, a deep-dive document, and a ready-to-publish skill artifact.

Are there limitations when using AI-driven research automation for documentation generation?▼

AI-driven research automation for documentation generation requires a two-phase LLM pipeline to synthesize Phase 1 outputs into Phase 2 artifacts. Users must execute both phases sequentially to yield complete, structured library documentation knowledge outputs.

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