ce-compound

Document solved problems by orchestrating parallel subagents to extract context, categorize solutions, and write a final Markdown file with YAML frontmatter under docs/solutions for cross-reference and discovery.

The best way to structure post-mortem documentation is generating a single Markdown file with YAML frontmatter, organizing content by category under docs/solutions to preserve knowledge for faster future resolutions.

A multi-phase workflow captures prevention strategies by running parallel subagents through context analysis, solution extraction, related docs identification, and category classification before writing the final document.

No dependencies are required to generate structured solution files with YAML frontmatter; the skill coordinates subagents internally to produce the final Markdown output under docs/solutions.

Yes, you can run optional enhancement steps for specialized reviews during the documentation workflow, adding targeted analysis layers after the core solution extraction and category classification phases complete.

You should avoid using subagents for knowledge compounding when your solved problem lacks sufficient context for extraction, as the multi-phase workflow requires analyzable context to produce a meaningful, searchable Markdown document.