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extract-voice

@Alevsk/nix
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Use when the user wants to analyze writing samples to extract voice patterns, create voice-replicating prompts, or refine content generation prompts to match a specific writing style

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name extract-voice
description Use when the user wants to analyze writing samples to extract voice patterns, create voice-replicating prompts, or refine content generation prompts to match a specific writing style

Voice Extractor Skill Guide

Purpose

Extract voice patterns from writing samples and generate production-ready prompts that replicate the author's unique style, tone, and structural patterns.

When to Use

  • User provides writing samples and wants to replicate that voice
  • User needs to create social media content prompts matching their style
  • User wants to analyze what makes their writing distinctive
  • User needs to refine existing prompts to produce more authentic output

Process

Phase 1: Voice Analysis

  1. Collect Samples: Request 5-10 writing samples from the user (more variety = better extraction)

  2. Analyze Patterns: For each sample, identify:

    Structural Patterns

    • Opening styles (personal story, direct address, observation, question, analogy)
    • Paragraph flow and transitions
    • Closing patterns (call to action, reflection, open question, statement)
    • Average length and length variation

    Tonal Patterns

    • Primary tones (inspirational, conversational, instructional, philosophical, humorous)
    • Emotional arc within posts
    • Formality level

    Linguistic Fingerprints

    • Signature phrases or sentence structures
    • Punctuation habits (em dashes, ellipses, question chains)
    • Arrow syntax usage (->)
    • List formatting preferences
    • Emoji/symbol usage (or absence)

    Content Patterns

    • How topics are introduced
    • Personal experience integration
    • Technical vs emotional balance
    • Multi-topic handling strategies

  3. Create Voice Analysis Document: Generate a structured analysis file containing:

    ## VOICE DNA
Core traits that appear in 80%+ of samples

## STRUCTURAL FORMATS
List distinct formats with examples

## OPENING ROTATION
All unique opening styles identified

## TONAL PALETTE
Tones and when each appears

## LINGUISTIC MARKERS
Signature elements to preserve

## ANTI-PATTERNS
What this voice NEVER does

Phase 2: Prompt Generation

  1. Draft Initial Prompt with sections:

    • Role/persona definition
    • Voice DNA (immutable traits)
    • Structural toolkit (multiple format options, NOT rigid formula)
    • Tone matching guidance
    • Length flexibility ranges
    • Anti-patterns (what to avoid)
    • 3-5 voice examples directly from samples

  2. Key Principles:

    • Provide OPTIONS not requirements for structure
    • Include actual examples from the source material
    • Specify what the voice NEVER does
    • Allow length variation based on content
    • Handle multi-topic inputs gracefully

Phase 3: Iterative Refinement

  1. Run Experiments: Use codex skill with gpt-5 to test prompts

  2. Create Experiment Folders: example-1/, example-2/, etc.

  3. Each Folder Contains:

    • PROMPT.md - The prompt version being tested
    • INPUT.txt - Test input(s)
    • OUTPUT.txt - Generated output
    • NOTES.md - What worked/didn't work

  4. Iterate Until:

    • Outputs show structural variety (not all same format)
    • Opening styles rotate naturally
    • Multi-topic handling feels cohesive
    • Tone matches content appropriately
    • Length adapts to complexity

Output Artifacts

Required Deliverables

  1. VOICE_ANALYSIS.md - Complete voice pattern breakdown
  2. FINAL_PROMPT.md - Production-ready prompt
  3. experiment-N/ folders - All iteration history

Optional Deliverables

  • PREPROCESSING_REQUIREMENTS.md - If input cleaning needed
  • PROBLEMS.md - Issues identified and solved
  • EXAMPLES.md - Additional voice examples for reference

Common Issues and Solutions

Problem Solution
All outputs start the same Add opening rotation with 10+ styles
Rigid structure every time Replace step-by-step formula with format OPTIONS
Multi-topics feel forced Provide integration strategies (common thread, numbered list, comparison)
Output too long/short Add length ranges per format type
Conversational responses ("Here's...") Add anti-conversational directives and forbidden phrases
Lost voice authenticity Include more actual examples in prompt

Quick Start Template

When user provides samples, respond with:

I'll analyze your writing samples to extract your voice patterns.

**Analyzing:**
1. Structural patterns (openings, flow, closings)
2. Tonal patterns (primary tones, emotional arc)
3. Linguistic fingerprints (signature phrases, punctuation)
4. Content patterns (topic handling, personal integration)

After analysis, I'll create:
- Voice Analysis document
- Production-ready prompt
- Experiment iterations to verify quality

Shall I proceed with the analysis?

Integration with Codex

When testing prompts:

  1. Use codex skill with gpt-5 model, medium reasoning effort
  2. Test with varied inputs (single topic, multi-topic, different lengths)
  3. Verify variety across multiple generations
  4. Store all experiments for reference

Resume syntax for continued refinement:

echo "Generate post about [topic]" | codex exec --skip-git-repo-check resume --last 2>/dev/null