cc-prose
A Claude Code plugin for proactive content generation with human voice and AI slop prevention.
Overview
This plugin helps you write content that sounds authentically human while following all style rules.
It complements the copyedit plugin, sharing its configuration but with a clear separation of concerns:
- copyedit = Review and fix existing content (editing)
- prose = Generate new content with human voice (creation)
Key features:
- Automatic activation: Activates when you request content creation
- Voice profiles: 8 built-in templates plus custom profile creation
- Voice extraction: Derive voice profiles from existing writing samples
- Humanizer depth: Wikipedia's 24-pattern methodology for authentic writing
- Proactive guidance: Pattern prevention during writing (not just post-editing)
- Easy humanizer updates: Sync from upstream source with
make sync-humanizer
Note: If you previously used copyedit's content-writer skill, this plugin's content-generator supersedes it.
The copyedit plugin should focus on editing, not content creation.
Installation
Via Marketplace (recommended):
# Add the marketplace (once)
/plugin marketplace add rhuss/cc-rhuss-marketplace
# Install the plugin
/plugin install prose@cc-rhuss-marketplace
From source:
git clone https://github.com/rhuss/cc-prose.git
cd cc-prose
make install
# Verify installation
claude plugin list
Commands
| Command | Description |
|---|
/prose:write <topic> | Generate content on a topic |
/prose:rewrite <file> | Humanize existing text |
/prose:voice [create|apply|list] | Manage voice profiles |
/prose:check <file> | Pre-submission validation |
/prose:init [--global] | Initialize style configuration |
Quick Start
Generate Content
The content-generator skill activates automatically when you request content creation:
# Just ask naturally - the skill activates automatically
Write a section about Kubernetes Services with human voice
# Or use the explicit command
/prose:write a section explaining how Kubernetes Services work
# Write using a specific voice
/prose:write an intro to container networking using the tutorial voice
The content-generator will:
- Load your copyedit configuration
- Apply your active voice profile
- Generate content following all style rules
- Validate against humanizer patterns
- Present publication-ready text
Humanize Existing Text
The humanizer detects and removes AI writing patterns from existing text. It works across 24 categories of AI-specific patterns, from vocabulary choices ("delve", "leverage") to structural habits (significance inflation, promotional language, excessive hedging).
# Rewrite a file to remove AI patterns
/prose:rewrite docs/chapter03.md
# Rewrite with a specific voice applied
/prose:rewrite docs/intro.md using the conversational voice
# Or just describe what you need
Tighten up the writing in docs/overview.md, it sounds too robotic
The humanizer operates in two modes:
- Reactive: Cleans up existing AI-sounding text on demand
- Proactive: The content-generator invokes the humanizer's rules during generation, so AI patterns never appear in the first place
Create a Voice Profile
# Create a new voice profile interactively
/prose:voice create technical-friendly
# List available voice profiles
/prose:voice list
# Apply a voice to the current project
/prose:voice apply narrative
You'll be prompted for:
- Formality level (casual to formal)
- Personality level (neutral to opinionated)
- Pronoun preferences (you vs we)
- Contractions usage
Extract a Voice from Existing Writing
The voice-extractor analyzes writing samples and derives a reusable voice profile from them:
# Extract voice from a single document
Extract a voice profile from docs/best-practices.md
# Extract from a directory of samples
Derive a voice from all the posts in content/blog/
# Create a named profile from an author's writing
Learn my voice from ~/writing-samples/ and save it as "my-style"
The extractor reads Markdown, AsciiDoc, and PDF files, analyzing sentence structure, vocabulary choices, formality level, and personality markers. For multi-file corpora, it performs incremental analysis and presents aggregate confidence scores before saving.
Validate Before Submission
# Run comprehensive validation
/prose:check docs/chapter03.md
The pre-validator checks:
- AI pattern scan (24 categories)
- Stoplist word check
- Style compliance
- Flow quality
- Consistency
- Voice consistency
- Readability metrics
Initialize Configuration
# Set up project-level style configuration
/prose:init
# Set up global configuration (applies to all projects)
/prose:init --global
