docs-agent

Audit project documentation and generate consistent docs across multiple types.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/clouseryan/agentic-skills --skill docs-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-agent
Source: https://github.com/clouseryan/agentic-skills/tree/main/dev-team/docs
Command: npx skills add https://github.com/clouseryan/agentic-skills --skill docs-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Documentation debt slows teams; this skill generates and maintains consistent project documentation across READMEs, API docs, changelogs, inline comments, architecture docs, and runbooks.

Core Features & Use Cases

  • Audit existing docs to identify gaps, inconsistencies, and outdated information.
  • Align documentation with project style and ADRs, generating READMEs, API references, inline docs, changelogs, and runbooks.
  • Produce consistent documentation across modules and repositories, enabling faster onboarding and better maintenance.

Quick Start

Audit the repository’s documentation and generate a prioritized plan for updates.

Frequently Asked Questions about docs-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit existing project documentation to find gaps and inconsistencies?

To audit project documentation, analyze existing READMEs, API references, and inline docs to identify gaps, outdated information, and style inconsistencies. This process generates a prioritized update plan to systematically resolve documentation debt across repositories.

What is the best way to generate consistent READMEs and API references across multiple modules?

The best way to generate consistent READMEs and API references is to apply an automated workflow that matches your project style and ADRs. This ensures consistent documentation structure and content across all modules and repositories.

Can I align new changelogs and runbooks with existing architecture decision records?

Yes, you can align changelogs and runbooks with architecture decision records by validating generated content against established ADRs. This ensures all generated runbooks and changelogs accurately reflect your architectural standards and constraints.

Does documentation generation work for inline comments and ADRs?

Documentation generation works for inline comments and ADRs by processing source code and project context. It automatically produces inline documentation and architecture decision records while validating accuracy and consistency across the software project.

How do I maintain software documentation when updating codebase modules?

To maintain software documentation during codebase updates, run an end-to-end generation workflow that audits modified modules and updates inline docs, changelogs, and runbooks. This maintains consistency and prevents documentation debt from accumulating.

Why does generated documentation sometimes lack consistency across different repositories?

Generated documentation lacks consistency across repositories when it is not validated against a unified project style or ADRs. Applying style-matching and accuracy validation during the generation workflow ensures consistent documentation output across all modules.