create-knowledge-docs

Generate structured knowledge-base documents with YAML front matter and cross-references.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/bhanford9/vs-code-copilot-tools --skill create-knowledge-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-knowledge-docs
Source: https://github.com/bhanford9/vs-code-copilot-tools/tree/main/skills/create-knowledge-docs
Command: npx skills add https://github.com/bhanford9/vs-code-copilot-tools --skill create-knowledge-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This knowledge-docs skill standardizes and automates the creation of AI-friendly, searchable documentation from transcripts, wikis, code, interviews, or existing materials, ensuring consistent structure and cross-linking.

Core Features & Use Cases

  • Standardized YAML front matter, hierarchical sections, and cross-references
  • Mermaid diagrams and glossary integration for AI retrieval
  • Layered outputs suitable for humans and AI agents across onboarding, architecture references, and domain knowledge bases

Quick Start

Provide a source document and a target location, then run the knowledge-docs workflow to generate a structured knowledge base.

Frequently Asked Questions about create-knowledge-docs

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

FAQPage Schema
How do I create AI-indexable documentation from existing transcripts and wikis?

To create AI-indexable documentation from transcripts and wikis, a standardized workflow applies YAML front matter, hierarchical sections, and cross-references to generate durable, retrievable knowledge assets.

What is the best way to structure knowledge management documents for AI retrieval?

Structuring knowledge management documents for AI retrieval requires enforcing YAML front matter, hierarchical file organization, cross-references, Mermaid diagrams, and glossaries to ensure consistent, searchable knowledge assets.

Can I use markdown and YAML front matter to build a searchable knowledge base from code and interviews?

Yes, you can build a searchable knowledge base from code and interviews by applying markdown and YAML front matter, coordinating intake, planning, and implementation to deliver AI-friendly documentation with cross-references.

How do I add cross-references and glossaries to existing documentation?

You add cross-references and glossaries to existing documentation by applying a standardized workflow that integrates Mermaid diagrams and glossary entries, ensuring durable, retrievable knowledge assets for humans and AI agents.

What are the limitations of using automated workflows for knowledge base maintenance?

Automated workflows for knowledge base maintenance require ongoing updates to lesson-learned sections and standardized front matter to prevent structural drift, ensuring documentation remains durable and AI-friendly across source materials.