compound-docs

Captures solved technical problems into categorized markdown documents with validated YAML frontmatter.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/merlyn-huntress/compound-engineering-plugin-no-mcp --skill compound-docs-merlyn-huntress
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: compound-docs
Source: https://github.com/merlyn-huntress/compound-engineering-plugin-no-mcp/tree/main/plugins/compound-engineering/skills/compound-docs
Command: npx skills add https://github.com/merlyn-huntress/compound-engineering-plugin-no-mcp --skill compound-docs-merlyn-huntress

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of documenting solved technical problems, transforming them into a searchable knowledge base to prevent future occurrences and accelerate team learning.

Core Features & Use Cases

  • Automated Documentation: Captures problem context, root cause, and solution after a fix is confirmed.
  • Categorized Storage: Organizes documentation into relevant categories based on problem type.
  • YAML Frontmatter: Enforces structured metadata for robust searching and validation.
  • Use Case: After debugging a complex performance issue, this skill automatically creates a detailed markdown file in the docs/solutions/performance-issues/ directory, complete with error messages, root cause analysis, and the fix, making it easily discoverable for future reference.

Quick Start

Use the compound-docs skill to document the solution to the recently resolved issue.

Frequently Asked Questions about compound-docs

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

FAQPage Schema
How do I automate documentation for solved technical problems?

Automating documentation for solved technical problems involves capturing context, root cause, and solution details after a fix is confirmed. This skill extracts those details and generates categorized markdown files with validated YAML frontmatter for efficient retrieval.

What is the best way to capture debugging solutions into a searchable knowledge base?

Capturing debugging solutions into a searchable knowledge base is done by extracting problem context and fix details into structured markdown. Enforcing schema validation through YAML frontmatter ensures the institutional knowledge remains robust and easily discoverable for future reference.

How does YAML frontmatter validation work for technical writing documentation?

YAML frontmatter validation for technical writing documentation works by enforcing a strict metadata schema within markdown files. This ensures structured categorization of root cause analysis and solution details, enabling robust searching and automated organization into predefined directory structures.

Can I organize problem solving documentation into specific directory structures automatically?

Organizing problem solving documentation into specific directory structures automatically is supported by extracting confirmed fix details and categorizing them by problem type. Files are placed into predefined paths like `docs/solutions/` to accelerate team learning and retrieval.

Do I need any external dependencies to generate categorized markdown documentation?

Generating categorized markdown documentation requires no external dependencies. The skill operates independently to extract context, validate YAML frontmatter, and organize files into predefined directory structures for capturing solved technical problems.