documentation

Automate AI system documentation by using a template-driven workflow to generate and maintain model cards, API docs, ADRs, and runbooks. You supply model configuration, data sources, and deployment context to produce standardized outputs.

The best way to audit technical documentation is through phase-based completeness checks. This skill provides centralized references and guidance to audit AI system docs, ensuring consistency, versioning, and compliance across all generated artifacts.

Yes, the documentation workflow supports Architecture Decision Records (ADRs) and deployment runbooks. It applies standardized, template-driven generation to maintain these artifacts alongside model cards, experiment logs, and API documentation.

Generate a complete documentation package by supplying the model configuration, data sources, and deployment context. The skill uses these inputs to automatically produce model cards, experiment logs, API docs, and runbooks in a standardized format.

The workflow requires a YAML SKILL.md frontmatter file defining at least the name and description. This frontmatter-driven approach supports optional references, scripts, and assets to load context and guidance for documentation generation.