Dewey

Dewey is a documentation toolkit that prepares your docs for AI agents. It audits, scores, and exports structured documentation artifacts without requiring a specific rendering framework.

What Dewey Does

Dewey is a docs agent, not a docs framework. It focuses on:

• Auditing - Validates documentation completeness and quality
• Scoring - Rates agent-readiness on a 0-100 scale
• Generating - Creates AGENTS.md, llms.txt, docs.json, install.md, and the agent/ retrieval surface
• Exporting - Publishes recursive raw markdown, manifests, prompt registries, and context bundles
• Publishing - Optionally scaffolds a static doc site from your markdown
• Reviewing - Skills that catch drift between docs and codebase

Key Concepts

Agent Content Pattern

Each documentation page should have two versions:

Version	Audience	Style
.md	Humans	Narrative, explanatory
.agent.md	AI agents	Dense, structured, self-contained

Skills System

Skills are LLM prompts, not code. Built-in skills:

• docsReviewAgent - Reviews docs quality page-by-page
• docsDesignCritic - Critiques page structure and visual design
• promptSlideoutGenerator - Generates AI-consumable prompt configs
• installMdGenerator - Creates install.md following installmd.org

install.md Standard

Follows the installmd.org specification. LLM-executable:

curl https://your-project.com/install.md | claude

CLI Commands

dewey init      Create docs/ folder and dewey.config.ts
dewey audit     Check documentation completeness
dewey generate  Create agent-ready files and retrieval artifacts
dewey create    Optional static docs site from markdown
dewey agent     Score agent-readiness (0-100)

Quick Links

• Quickstart - Get started in 5 minutes
• CLI Reference - All commands and options
• Skills - Built-in LLM prompt templates