source-command-workflows-compound

Document solved problems by orchestrating parallel subagents and validating YAML frontmatter.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/praburajasekaran/ruthva-clinic-os --skill source-command-workflows-compound
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: source-command-workflows-compound
Source: https://github.com/praburajasekaran/ruthva-clinic-os/tree/main/.agents/skills/source-command-workflows-compound
Command: npx skills add https://github.com/praburajasekaran/ruthva-clinic-os --skill source-command-workflows-compound

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps document and compound team knowledge by capturing and structuring problem-solving workflows.

Core Features & Use Cases

  • Problem Documentation: Captures detailed information about solved problems for future reference.
  • Parallel Subagent Execution: Utilizes multiple subagents to gather information in parallel.
  • Structured Documentation: Creates YAML frontmatter for searchability and future reference.
  • Enhancement with Specialized Agents: Optionally invokes specialized agents for code review and best practices.

Quick Start

Run the command /compound to document a recently solved problem.

Frequently Asked Questions about source-command-workflows-compound

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

FAQPage Schema
How do I document problem-solving workflows to build a team knowledge base?

Document problem-solving workflows by capturing solved issues, validating YAML frontmatter for searchability, and running parallel subagents to structure the data into a searchable team knowledge base.

What is the best way to structure solved engineering problems for future reference?

Structuring solved engineering problems involves validating YAML frontmatter and orchestrating parallel subagent execution to compile detailed, searchable knowledge base entries for future reference.

Can I use parallel processing to capture and compile team knowledge from solved issues?

Yes, parallel processing captures and compiles team knowledge by utilizing multiple subagents simultaneously to gather information, document problem-solving workflows, and structure the results efficiently.

How do YAML frontmatter and specialized agents enhance workflow documentation?

YAML frontmatter and specialized agents enhance workflow documentation by ensuring structured searchability and optionally validating code review or best practices within the compiled problem-solving knowledge base.

Does this problem documentation approach require any external dependencies?

No, this problem documentation approach requires zero external dependencies, relying solely on internal scripts and references to orchestrate subagents and validate YAML frontmatter for knowledge compounding.

When should I use parallel subagent execution for knowledge compounding?

Use parallel subagent execution for knowledge compounding when your engineering team needs to rapidly document multiple complex problem-solving workflows and structure them into a centralized, searchable reference.