ce:compound

Document problem solutions by using parallel subagents to concurrently research and extract resolutions into structured YAML frontmatter files. This creates a searchable knowledge base that compounds team knowledge for future reference.

Create a searchable knowledge base by generating structured YAML frontmatter-based documents in a dedicated solutions directory. This ensures administrative documentation from your tech team remains organized and easily retrievable for future problem-solving.

Parallel processing with subagents improves technical documentation by executing concurrent research and extraction simultaneously. This maximizes efficiency when documenting resolved problems and accelerates the creation of structured team knowledge records.

You can automate problem documentation via AI trigger phrases or manual invocation while a context budget check prevents compaction mid-compound. This optimization maintains documentation quality by ensuring optimal context usage throughout the process.

No external dependencies are required to run ce:compound. It operates independently using internal scripts, references, and assets to manage the parallel subagent documentation workflow and structured YAML file generation.