compound-docs

You can automate problem documentation by capturing context, root cause, and resolution steps from conversations, then saving them as categorized markdown files with validated YAML frontmatter for fast future lookup.

Creating a searchable knowledge base from debugging sessions involves extracting symptoms and root causes, categorizing solutions by problem type and component, and generating structured markdown files with YAML metadata.

Yes, documented bug fixes can be organized automatically into categorized directories based on problem type and component, with all necessary metadata validated against a predefined schema to ensure institutional knowledge is structured.

Capturing resolved issues as markdown with YAML frontmatter works by validating problem metadata like symptoms, root cause, and resolution steps against a predefined schema, then generating structured files for your knowledge base.

Yes, a predefined schema is required to validate captured metadata such as symptoms, root cause, and resolution steps, ensuring all documented technical solutions are consistently structured and easily searchable.

You need to document problem solving steps into institutional knowledge after fixing complex bugs or resolving technical issues, transforming those solutions into categorized entries to prevent future recurrence and accelerate learning.