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feat: add voice calibration from writing samples#64

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mvanhorn wants to merge 1 commit intoblader:mainfrom
mvanhorn:feat/voice-calibration
Open

feat: add voice calibration from writing samples#64
mvanhorn wants to merge 1 commit intoblader:mainfrom
mvanhorn:feat/voice-calibration

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Summary

Adds an optional Voice Calibration section to SKILL.md. When users provide a sample of their own writing, the skill analyzes their sentence rhythm, word choices, and quirks before rewriting, so the output sounds like them instead of generic clean text.

Why this matters

The humanizer removes AI patterns well, but the result is one-size-fits-all. Everyone gets the same "clean human" voice. Users on TikTok and Reddit are excited about removing AI tells, but the natural follow-up is wanting output that sounds like their writing, not just "not AI."

  • #2 - GPTZero flags humanized text as AI. Voice calibration produces genuinely varied output per user, making detection harder.
  • #55 - Users want output that passes AI detectors. Matching a real person's voice is more effective than pattern removal alone.

Changes

  • SKILL.md: Added ## Voice Calibration (Optional) section between "Your Task" and "PERSONALITY AND SOUL". Instructs Claude to analyze a user's writing sample for sentence length, word choice, paragraph structure, punctuation habits, and verbal tics before rewriting. Falls back to the existing personality section when no sample is provided. Version bumped to 2.4.0.
  • README.md: Added usage example for voice calibration under the Usage section. Updated version history.

39 lines added, 1 changed. No structural changes to the repo.

Testing

Tested by invoking /humanizer with a writing sample and verifying Claude analyzed the sample's characteristics before rewriting AI-heavy text. The output matched the sample's casual tone and short sentence style instead of producing the default clean-but-generic voice.

This contribution was developed with AI assistance (Claude Code).

Add optional Voice Calibration section to SKILL.md. When users provide
a sample of their own writing, the skill analyzes their sentence rhythm,
word choices, and quirks before rewriting - producing output that sounds
like them instead of generic clean human.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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