compound-docs

Capture solved problems as categorized markdown documentation with YAML frontmatter.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/greatxrider/nomanuAI --skill compound-docs-greatxrider
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: compound-docs
Source: https://github.com/greatxrider/nomanuAI/tree/main/.claude/plugins/compound-engineering/2.31.1/skills/compound-docs
Command: npx skills add https://github.com/greatxrider/nomanuAI --skill compound-docs-greatxrider

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automatically captures solved problems as categorized documentation, creating a searchable knowledge base to prevent future issues and accelerate problem-solving.

Core Features & Use Cases

  • Automated Documentation: Captures problem context, root cause, and solution after a fix is confirmed.
  • Categorized Storage: Organizes documentation into symptom-based directories with YAML frontmatter for fast lookup.
  • Use Case: After debugging a complex performance issue, this Skill will automatically create a markdown file detailing the problem, the fix, and preventative measures, making it easily searchable for future reference.

Quick Start

Use the compound-docs skill to document the solution to the recent performance issue.

Frequently Asked Questions about compound-docs

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

FAQPage Schema
How do I automatically document solved debugging problems into a searchable knowledge base?

To document solved debugging problems, you can use a skill that captures problem context, root causes, and resolutions as categorized markdown files. This builds a searchable knowledge base by organizing technical issues into structured directories with YAML frontmatter for fast lookup.

What is the best way to capture root causes and resolutions after fixing a technical issue?

The best way to capture root causes is automating documentation immediately after a fix is confirmed. This process gathers context, validates a YAML schema, and creates structured markdown files detailing the problem, the fix, and preventative measures for future reference.

Does automated problem solving documentation require any specific dependencies or external libraries?

No specific dependencies or external libraries are required for this documentation automation. The skill operates independently using internal scripts, references, and assets to validate YAML schemas and generate categorized markdown files for your knowledge base.

How do I organize technical writing into symptom-based directories for fast lookup?

You organize technical writing into symptom-based directories by using a validated YAML schema to categorize markdown files. This structure automatically sorts resolutions and root causes by problem type and component, enabling fast lookup and persistent knowledge storage.

When should I not use automated documentation for capturing resolved issues?

You should not use automated documentation when a problem fix is not yet confirmed or when context gathering is incomplete. Accurate technical writing requires validated root causes and resolutions to ensure the generated YAML frontmatter and markdown files remain reliable for future reference.