By zircote
Identify and correct AI-generated writing patterns in Markdown and code comments, and construct personalized voice profiles through adaptive interviews to enforce authentic, human-like writing standards across your documentation and codebase.
Install voice profile(s) into a project's GitHub Copilot configuration
Design a voice profile from a description or template without running an interview
Report observed voice patterns and drift from the voice profile. Shows how the user's actual writing compares to their profiled voice over time.
Auto-fix AI character patterns in content
Start a new voice elicitation interview session
Conducts adaptive voice elicitation interviews. Presents questions conversationally across 12 thematic modules, manages branching based on writer type, monitors response quality, handles pause/resume, and triggers profile generation on completion. Use when the user wants to start or continue a voice elicitation interview.
Synthesizes voice profiles from self-report scores and computational writing analysis. Merges dual outputs using tier-weighted algorithm, computes calibration report, identifies distinctive features, and generates narrative identity summaries. Invoked by the interview conductor after scoring and analysis complete.
Proactively reviews markdown content for AI writing patterns after edits. Also triggers on explicit requests to check for AI patterns, review voice, make content sound human, or improve writing authenticity.
This skill should be used when the user asks to review for AI patterns, make this sound human, check for AI writing, ai slop detection, fix AI voice, improve writing voice, human voice check, remove AI patterns, humanize this content, or needs to detect and correct AI-generated writing patterns.
This skill should be used when the user asks to start a voice interview, elicit writing style, build a voice profile, analyze writing voice, capture writing style, run voice elicitation, understand my writing style, profile my voice, or needs to conduct an adaptive interview that produces a multi-dimensional voice coordinate profile.
Uses power tools
Uses Bash, Write, or Edit tools
Runs pre-commands
Contains inline bash commands via ! syntax
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A Claude Code plugin that detects AI-generated writing patterns and builds voice profiles through adaptive interviews and computational stylistics.
Experimental. This project is a research prototype. The scoring pipeline, dimension mapping, and NLP analysis have not been validated against external benchmarks or peer-reviewed psychometric standards. The voice profiles it produces are plausible but unproven. Treat the output as a starting point for editorial guidance, not as a validated instrument. The question bank, scoring weights, and dimension definitions will change as the system matures. Use it, break it, report what does not work.

claude plugin install zircote/human-voice
Clone and add to Claude Code:
git clone https://github.com/zircote/human-voice.git
claude --plugin-dir /path/to/human-voice
Or copy to your project's .claude-plugin/ directory.
| Component | Name | Purpose |
|---|---|---|
| Skill | human-voice | Core detection patterns and writing guidelines |
| Command | /human-voice:voice-setup | Interactive configuration wizard |
| Command | /human-voice:voice-review [path] | Analyze content for AI patterns |
| Command | /human-voice:voice-fix [path] | Auto-fix character-level issues |
| Agent | voice-reviewer | Proactive content review after edits |
# Set up configuration for your project
/human-voice:voice-setup
# Review content for AI patterns
/human-voice:voice-review docs
# Auto-fix character issues
/human-voice:voice-fix docs --dry-run
The skill loads automatically when you say:
Set up configuration:
/human-voice:voice-setup
Detects project structure, content directories, and creates config.json with your preferences.
Review content for AI patterns:
/human-voice:voice-review docs # review specific directory
/human-voice:voice-review content/blog # review specific path
/human-voice:voice-review # auto-detects content directories
Auto-fix character issues:
/human-voice:voice-fix docs # apply fixes to directory
/human-voice:voice-fix --dry-run docs # preview changes first
/human-voice:voice-fix # auto-detect and fix
The voice-reviewer agent triggers:
| Character | Unicode | Replacement |
|---|---|---|
| Em dash (--) | U+2014 | Period, comma, colon |
| En dash (-) | U+2013 | Hyphen |
| Smart quotes | U+201C/D, U+2018/9 | Straight quotes |
| Ellipsis (...) | U+2026 | Three periods |
| Emojis | Various | Remove |
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