compound-docs

Automatically document solved debugging problems in Markdown by triggering capture on confirmation phrases. The system generates categorized files with YAML frontmatter, capturing symptoms, root cause, solution, and prevention tips for searchable institutional knowledge.

The best way to create a structured knowledge base from ad-hoc technical fixes is to automate solution capture into categorized Markdown files. Each entry includes detailed context and YAML frontmatter, ensuring problem-solving context is recorded for easy future lookup.

Yes, you can categorize solved technical problems by type with YAML frontmatter validation. The system requires strict YAML schema validation and file generation based on conversation context, ensuring structured documentation across directories like performance-issues.

Yes, automatic documentation capture works without external dependencies. The system operates independently to generate structured Markdown files from conversation context, requiring only confirmation phrases or commands to trigger the capture and categorization of solved problems.

You need to generate structured documentation files from conversation context when you want to transform ad-hoc fixes into searchable institutional knowledge. This is typically done after successfully debugging complex technical issues like application performance problems.

A limitation of automating problem documentation with strict YAML schemas is that file generation fails if the schema validation is not met. The system requires detailed context and proper categorization to successfully record solutions into the structured Markdown directories.