/voice-injection-rewriter

name: voice-injection-rewriter
description: Use when rewriting AI-generated text to match a specific person's or brand's authentic voice. Use when AI output sounds generic, corporate, or detectable. Unlike generic "humanizers," this skill requires voice analysis input and produces voice-consistent output, not fake imperfections.
license: MIT
metadata:
  author: ClawFu
  version: 1.0.0
  mcp-server: "@clawfu/mcp-skills"

Voice Injection Rewriter

> Transform AI-generated text into authentic, voice-consistent content — not by faking humanity, but by applying real voice patterns from a specific person or brand.

When to Use This Skill

Use this skill when you need to:

• **Rewrite AI drafts** to match a specific person's voice
• **Strip AI fingerprints** from generated content before publishing
• **Enforce voice consistency** across AI-assisted content production
• **Bridge the gap** between AI efficiency and authentic brand expression
• **Post-process any AI output** (blog posts, emails, social, landing pages)

This skill is NOT a generic "humanizer." It requires voice input — either from `brand-voice-learner` output, ClawFu brand memory, or voice samples you provide.

**Why this matters:** Generic humanizers add fake imperfections (random typos, forced contractions) to trick detectors. That's an arms race you lose. This skill applies YOUR voice patterns — which produces naturally human text because it IS the voice of a real human.

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Methodology Foundation

**Core Principle:** AI text sounds artificial not because it lacks typos, but because it lacks a specific person's vocabulary, rhythm, opinions, and structural habits. The fix is voice injection, not cosmetic imperfection.

**Sources:**

• NN/g Voice and Tone research
• Brand voice analysis methodology (ClawFu `brand-voice-learner`)
• AI detection pattern research (GPTZero, Originality.ai signal analysis)
• WhatsApp IA NDD Camp community insights on AI content workflows

**The 201 insight:** Most people try to make AI text "sound human" (generic). The actual skill is making AI text "sound like ME" (specific). The first is commodity. The second is craft.

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What Claude Does vs What You Decide

| Claude Does | You Decide | |-------------|------------| | Applies voice patterns to rewrite text | Which voice profile to use | | Strips AI detection signals | How far to deviate from the original | | Identifies voice mismatches | Final approval of tone and accuracy | | Suggests voice-consistent alternatives | Where factual precision overrides voice | | Runs enforcement checklists | Publication context and audience |

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Instructions

Prerequisites

Before using this skill, you need ONE of these:

| Voice Source | How to Get It | Quality | |-------------|---------------|---------| | **ClawFu brand memory** | `get_brand [name]` — pre-stored voice profile | Best | | **brand-voice-learner output** | Run the analysis skill on 10+ writing samples | Very good | | **3-5 writing samples** | Paste examples of the target voice | Good | | **Voice description** | "Analytical, dry, French, no buzzwords, short sentences" | Minimum viable |

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Phase 1: Voice Profile Load

Start by establishing the voice you're targeting.

**If using ClawFu brand memory:**

Load brand voice for [name]. Apply it to rewrite the following text.

**If providing samples:**

Here are 3 examples of my writing voice:
[Sample 1]
[Sample 2]
[Sample 3]

Extract the voice patterns, then rewrite this AI-generated text to match:
[AI text]

**If describing voice:**

My voice profile:
- Register: [analytical/casual/authoritative/conversational]
- Sentence length: [short punchy / mixed / long flowing]
- Contractions: [always / sometimes / never]
- Opinions: [strong and stated / subtle / neutral]
- Vocabulary: [technical / accessible / mixed]
- Signature moves: [specific habits — e.g., "Ce n'est pas X. C'est Y."]
- Forbidden words: [list any words you never use]

Rewrite this to match:
[AI text]

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Phase 2: AI Fingerprint Detection

Before rewriting, identify what makes the text sound AI-generated.

AI Detection Signals (What to Flag)

**Structural signals:**

• Uniform sentence length (AI defaults to 15-20 words per sentence)
• Predictable paragraph structure (topic sentence → 3 supporting points → transition)
• Symmetrical lists (every bullet same length, same grammatical structure)
• Perfect parallelism in headers

**Vocabulary signals:**

• Corporate buzzwords nobody actually says: "delve," "landscape," "leverage," "robust," "streamline," "facilitate," "comprehensive"
• Filler openings: "In today's rapidly evolving...", "It's important to note that...", "In order to..."
• Over-hedging: "It's worth noting," "One might argue," "It could be said"
• Transition addiction: "Moreover," "Furthermore," "Additionally," "However" (every paragraph)

**Tonal signals:**

• No opinions (AI stays neutral by default)
• No contractions (AI under-uses them)
• Equal weight to everything (AI doesn't emphasize or deprioritize)
• Sanitized language (no edge, no personality, no risk)

**Flag template:**

AI FINGERPRINT SCAN:
□ Uniform sentence length? [yes/no]
□ Buzzword count: [N] instances
□ Transition density: [N] per paragraph
□ Contractions present? [yes/no]
□ Opinions/personality present? [yes/no]
□ Any sentence you'd never actually say? [list]

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Phase 3: Voice Injection Rewrite

Apply the voice profile to the flagged text. This is the core operation.

The 5-Pass Rewrite

**Pass 1 — Kill AI vocabulary**

Replace every AI-default word with the voice-appropriate equivalent:

| AI Default | Generic Human | Voice-Specific (example) | |------------|--------------|-------------------------| | "Delve into" | "dig into" | Depends on voice — could be "creuser," "regarder de plus près," "explorer" | | "Leverage" | "use" | Voice may prefer "exploiter," "utiliser," or "s'appuyer sur" | | "Landscape" | "space" | Voice may prefer "mar