Generate Automated Code Documentation
Skill for generating living API docs, architecture diagrams, and user guides directly from a codebase, kept synchronized via linting and CI.
Why it matters
Automate the creation of comprehensive documentation directly from your codebase. This skill generates API docs, architecture diagrams, and user guides, ensuring your documentation stays synchronized with your code.
Outcomes
What it gets done
Extract information from code, configurations, and comments.
Generate consistent and structured documentation artifacts.
Integrate documentation generation into CI/CD pipelines.
Identify documentation types and target audiences.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-code-documentation-doc-generate | bash Overview
Automated Documentation Generation
Generates living API docs, architecture diagrams, and user guides directly from a codebase, with linting and CI automation to keep them synchronized with code changes. Use when generating or standardizing documentation from an existing codebase, not for a one-off explanation or a project with no source of truth.
What it does
A skill for generating living documentation - API docs, architecture diagrams, user guides, and technical references - directly from a codebase using AI-powered analysis, rather than writing docs by hand. It extracts information from code, configuration files, and comments, then produces docs with consistent terminology and structure across doc types, plus automation (linting, CI checks) to keep documentation synchronized with the code it describes over time.
When to use - and when NOT to
Use when generating API, architecture, or user documentation from an existing codebase, building a documentation pipeline or automation, or standardizing docs across a repository. Do not use it when the project has no codebase or source of truth to extract from, when only an ad-hoc explanation is needed rather than durable documentation, or when there is no access to the code or requirements to ground the docs in.
Inputs and outputs
Input is the target codebase plus a free-form requirements argument describing what documentation is needed. Output is a documentation plan and the artifacts themselves, plus file paths and tooling configuration for any doc-generation automation, and an explicit list of assumptions, gaps, and follow-up tasks. For detailed examples and templates, it points to resources/implementation-playbook.md.
Integrations
Designed to plug into CI pipelines and linting tooling to keep generated documentation synchronized with code changes over time; the specific stack is left to the implementation playbook rather than fixed here.
Who it's for
Teams that need documentation to stay current with a changing codebase - API references, architecture docs, or onboarding guides - rather than a one-off written explanation.
FAQ
Common questions
Discussion
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