pitchdocs

name	pitchdocs
description	Generate marketing-quality repository documentation from codebase analysis. Scans 10 signal categories, extracts features with file-level evidence, and produces README, CHANGELOG, ROADMAP, and 15+ more docs. Zero runtime dependencies. For AI context file management, see ContextDocs.
version	2.1.0
author	Little Bear Apps
tags	["documentation","readme","changelog","marketing","quality-scoring","claude-code-plugin"]

PitchDocs — AI Documentation Plugin

Overview

PitchDocs is a pure Markdown Claude Code plugin that scans any codebase and generates professional, marketing-ready repository documentation. Every feature claim traces to an actual file path — no hallucinated marketing copy.

15 skills, 16 slash commands (14 active + 2 stubs), 4 agents (3 pipeline + 1 per-project freshness checker), 1 auto-loaded rule + 2 installable rules, 1 opt-in hook. 100% Markdown, zero runtime dependencies, MIT licensed.

When to Use

• Starting a new open-source project and need professional docs fast
• Overhauling an existing README that undersells your project
• Preparing for a public launch or Product Hunt submission
• Auditing documentation completeness across 20+ files
• Creating changelogs, roadmaps, or user guides from existing code and git history

Instructions

1. Install the plugin:

   /plugin marketplace add littlebearapps/lba-plugins
   /plugin install pitchdocs@lba-plugins
   

2. Navigate to any project repository

3. Run commands:

   • /pitchdocs:readme — Generate a marketing-quality README
   • /pitchdocs:docs-audit — Audit documentation completeness (20+ file checklist)
   • /pitchdocs:features — Extract features with file-level evidence
   • /pitchdocs:changelog — Generate CHANGELOG from git history
   • /pitchdocs:ai-context — Stub: redirects to ContextDocs
   • /pitchdocs:llms-txt — Generate llms.txt for AI discoverability
   • /pitchdocs:docs-verify — Quality scoring (0-100) with link checking
   • /pitchdocs:roadmap — Generate ROADMAP from GitHub milestones
   • /pitchdocs:user-guide — Generate task-oriented user guides
   • /pitchdocs:launch — Generate launch and promotion content
   • /pitchdocs:doc-refresh — Refresh all docs after version bumps
   • /pitchdocs:platform — Detect hosting platform feature support
   • /pitchdocs:visual-standards — Visual formatting standards for docs
   • /pitchdocs:geo — GEO optimisation for AI citation readiness
   • /pitchdocs:activate — Install per-project rules, agent, and hook
   • /pitchdocs:context-guard — Stub: redirects to ContextDocs

Output Format

Each command produces Markdown files written directly to the repository. The orchestration agent follows a 4-step workflow:

1. Discover — Scan codebase across 10 signal categories
2. Extract — Identify features with file-level evidence, classify by tier (Hero/Core/Supporting)
3. Write — Generate documentation with benefit-driven language and GEO-optimised structure
4. Validate — Check quality against the 4-question test and doc standards

Examples

Feature extraction output:

Hero Feature: Evidence-based feature extraction
  Evidence: .claude/skills/feature-benefits/SKILL.md
  Benefit: Every feature claim traces to actual code — no hallucinated marketing copy
  Category: Confidence gained

README generation produces:

• Hero section with one-liner + badges
• "Why [Project]?" with problem/solution table
• Quick start with Time to Hello World target
• Features with emoji+bold+em-dash bullets
• Comparison table vs alternatives
• Documentation links and contributing CTA

Notes

• Works with 9 AI tools: Claude Code, OpenCode, Codex CLI, Cursor, Windsurf, Cline, Gemini CLI, Aider, Goose
• Cross-platform: GitHub, GitLab, and Bitbucket
• GEO-optimised for AI citation (ChatGPT, Perplexity, Google AI Overviews)
• Content filter mitigation built in for CODE_OF_CONDUCT, LICENSE, and SECURITY files
• All knowledge stored as structured YAML+Markdown — no JavaScript, no Python, no build step