compound-docs

Name: compound-docs
Availability: InStock
Author: apollostreetcompany

Automates documentation of solved problems using YAML frontmatter for structured records.

Updated Mar 23, 2026

Search Tags:#knowledge management #software development #institutional knowledge #searchable database #problem documentation

Ready to run

npx skills add https://github.com/apollostreetcompany/codex-compound --skill compound-docs-apollostreetcompany

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: compound-docs
Source: https://github.com/apollostreetcompany/codex-compound/tree/main/plugins/compound-engineering/skills/compound-docs
Command: npx skills add https://github.com/apollostreetcompany/codex-compound --skill compound-docs-apollostreetcompany

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the documentation of solved problems, creating a searchable knowledge base for future reference and improving institutional knowledge.

Core Features & Use Cases

Problem Capture: Automatically captures problem solutions after confirmation.
Structured Documentation: Creates structured documentation with YAML frontmatter for easy search and categorization.
Use Case: Ideal for teams that need to document complex issues and share knowledge across different projects.

Quick Start

Use the compound-docs skill to document the solution to a recently solved problem by running the command '/doc-fix'.

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 of solved software development problems for institutional knowledge?▼

Automating documentation of solved problems captures solutions into a searchable database after confirmation. It structures entries with YAML frontmatter for categorization and context extraction, building institutional knowledge for future troubleshooting.

What is the best way to create a searchable database for problem documentation?▼

Creating a searchable database for problem documentation requires structuring entries with YAML frontmatter. This enables categorization and context extraction, turning solved software development issues into an accessible institutional knowledge base.

How do I document a software fix using YAML frontmatter?▼

Documenting a software fix using YAML frontmatter involves running a command to capture the solution. The system extracts context and validates the entry, creating structured documentation that facilitates future troubleshooting across projects.

Do I need bash and grep to extract context for institutional knowledge documentation?▼

Yes, bash and grep are required dependencies to extract context and validate structured documentation. These tools process the YAML frontmatter and scripts to automate the capture of solved problems into the searchable database.

Can I use this automated documentation approach for complex issues across different projects?▼

Yes, this automated documentation approach is ideal for teams needing to document complex issues across different projects. It facilitates sharing knowledge by creating structured, searchable entries for future reference and troubleshooting.