ce-compound

Document complex problems and solutions using parallel subagents and YAML frontmatter.

Updated Jun 4, 2026

Search Tags:#code review #parallel processing #structured documentation #knowledge compounding #problem documentation

Ready to run

npx skills add https://github.com/valegrajales/agentic-retrieval-example --skill ce-compound-valegrajales

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ce-compound
Source: https://github.com/valegrajales/agentic-retrieval-example/tree/main/.github/skills/ce-compound
Command: npx skills add https://github.com/valegrajales/agentic-retrieval-example --skill ce-compound-valegrajales

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps teams document complex problems and their solutions, enabling knowledge compounding and faster resolution of similar issues in the future.

Core Features & Use Cases

Parallel Subagent Workflow: Utilizes parallel subagents for efficient problem analysis, solution extraction, and documentation.
Structured Documentation: Generates structured YAML frontmatter for searchability and future reference.
Compact-Safe Mode: Provides a lightweight alternative for constrained context sessions.
Enhancement & Review: Optional specialized agent reviews for code quality, security, and documentation style.

Quick Start

Document a recently solved problem using the /ce-compound command, providing any additional context as needed.

Frequently Asked Questions about ce-compound

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

FAQPage Schema

How do I document complex problems and solutions for knowledge compounding?▼

To document complex problems for knowledge compounding, you can automate the extraction of context and solutions into structured formats. This generates searchable documentation for future reference, accelerating similar issue resolution.

How does parallel processing work for structured documentation?▼

Parallel processing for structured documentation works by deploying multiple subagents simultaneously to analyze context, extract solutions, and generate the final output. This accelerates the workflow compared to sequential processing.

What is the best way to generate YAML frontmatter for problem documentation?▼

The best way to generate YAML frontmatter for problem documentation is using an automated workflow that structures the extracted metadata. This ensures consistent searchability and easy retrieval of solved issues across the team.

Do I need to know YAML schema to use automated problem documentation?▼

Yes, you need knowledge of YAML schema for frontmatter to effectively use automated problem documentation. This prerequisite ensures the generated structured data is valid and properly formatted for searchability.

Can I review code quality and security during the documentation process?▼

Yes, you can review code quality and security during the documentation process by enabling optional specialized agents. These agents perform targeted reviews and enhancements alongside the main extraction workflow.

What are the limitations of documenting problems in constrained context sessions?▼

In constrained context sessions, limitations on processing capacity can restrict complex analysis. A compact-safe mode provides a lightweight alternative, allowing basic structured documentation without overwhelming the available context.