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ce:compound

Coordinate subagents to document solved engineering problems in docs/solutions/.

Updated Nov 11, 2023
Search Tags:#documentation#knowledge-capture#parallel-subagents#schema-validation#docs-solutions#solution-archive
One-click install
npx skills add https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb --skill ce-compound-michaelvolz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce:compound
Source: https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb/tree/main/.opencode/skills/ce/ce-compound
Command: npx skills add https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb --skill ce-compound-michaelvolz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

ce:compound turns a solved engineering issue into a durable knowledge asset by orchestrating parallel subagents to capture symptoms, resolutions, and prevention guidance before the context fades. It enforces schema-backed frontmatter, category mapping, and discoverability so future teammates can find the story in docs/solutions/ without digging through chat history.

Core Features & Use Cases

  • Parallel research orchestration: Launches context analysis, solution extraction, and related-doc discovery agents in sync, keeping their outputs text-only until the orchestrator assembles the final documentation.
  • Schema & template driven: Loads references/schema.yaml, yaml-schema.md, and the resolution template to validate frontmatter (module, component, severity, problem_type) and keep every doc consistent.
  • Discoverability hygiene: Uses the discoverability check to ensure AGENTS.md or CLAUDE.md surface the knowledge store, and stores finalized solutions under docs/solutions/[category]/ with YAML metadata for searchability.

Quick Start

Call /ce:compound with a short summary of the verified fix you want to capture.

Frequently Asked Questions about ce:compound

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

FAQPage Schema
How do I document bug fixes and engineering resolutions for future reference?▼

Parallel subagents analyze context, extract the solution, and discover related documentation simultaneously, keeping outputs text-only until an orchestrator assembles the final, consistent resolution document with schema-validated frontmatter.

How do I ensure my engineering knowledge base has consistent metadata and schema validation?▼

Schema validation ensures consistent metadata by loading YAML schemas and templates to validate frontmatter fields like module, component, severity, and problem_type, keeping every captured solution document structured and uniform.

What is the best way to capture solved engineering problems before context fades?▼

The best way to capture solved problems is orchestrating parallel subagents to immediately extract symptoms, resolutions, and prevention guidance, turning verified fixes into durable, searchable knowledge assets under docs/solutions/[category]/.

How do I make archived engineering solutions discoverable for my team?▼

Discoverability is achieved by storing finalized solutions with YAML metadata under docs/solutions/[category]/ and running checks to ensure project files like AGENTS.md or CLAUDE.md surface the knowledge store for team searchability.

Do I need a verified fix before documenting a solution with structured knowledge capture?▼

Yes, you need a recently verified fix or workflow improvement. The process targets engineering workflows that require structured knowledge capture for bug fixes, taking a short summary of the verified fix to generate the documentation.

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