‹ 首页

voice-capture

@robertguss · 收录于 1 周前

This skill should be used when extracting voice profiles from sample text, creating voice documentation, or matching a specific writing style. It applies when users provide sample text and want to capture the voice for future use.

适合你,如果需要从文本中提取并记录特定写作风格

/ 下载安装
voice-capture.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add robertguss/claude-code-toolkit/voice-capture
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- robertguss/claude-code-toolkit/voice-capture
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify robertguss/claude-code-toolkit/voice-capture
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
103GitHub stars
~1.3K最小装载
~5.2K含声明引用
~5.2K文本包总量
镜像托管

怎么用

技能原文 SKILL.md作者撰写 · MIT · c31f3be

Voice Capture Skill

Extract and encode writing voice from sample text into reusable voice profiles. This skill transforms examples of writing you like into documented patterns that can guide future writing.

When to Use This Skill

This skill applies when:

  • A user provides sample text and asks "write like this"
  • Creating a voice profile from existing content
  • Documenting a brand voice for consistency
  • Capturing an author's style for future reference
  • Analyzing differences between two writing styles
Core Philosophy
Voice isn't just word choice. It's sentence rhythm, paragraph structure, emotional register, and a thousand small decisions that create a distinctive sound.

This skill captures those decisions systematically so they can be applied to new content.

Voice Profile Structure

A complete voice profile has three layers. See [voice-profile-template.yaml](./assets/voice-profile-template.yaml) for the full template.

Layer 1: Immutable Traits

Core characteristics that define the voice:

traits:
  - direct           # vs. indirect, circumspect
  - conversational   # vs. formal, academic
  - technically-informed  # level of assumed expertise

register: informal   # formal / semiformal / informal

prohibited:
  - "synergy"
  - passive voice in openings
  - exclamation marks (except in quotes)
Layer 2: Channel Guidance

How the voice adapts by medium:

channels:
  blog:
    length: "1000-2000 words"
    personality: "full"
    storytelling: "encouraged"

  newsletter:
    length: "300-500 words"
    personality: "high - direct address okay"
    storytelling: "personal anecdotes"

  social:
    length: "280 chars or thread"
    personality: "punchy, hooks required"
    storytelling: "minimal - punchlines only"

  documentation:
    length: "as needed"
    personality: "minimal"
    storytelling: "none - clarity first"
Layer 3: Example Library

Exemplars that demonstrate the voice:

exemplars:
  - path: "samples/great-opening.md"
    why: "Concrete example first, theory second"
    demonstrates: ["hook", "pacing"]

  - path: "samples/transition.md"
    why: "Invisible transition technique"
    demonstrates: ["flow", "structure"]

  - path: "samples/closing.md"
    why: "Strong CTA without being salesy"
    demonstrates: ["conclusion", "call-to-action"]
Extraction Process
Step 1: Collect Samples

Minimum: 3 samples (ideally 5-10) Total words: At least 2,000 words Variety: Different topics, same author/brand

Step 2: Analyze Dimensions

Reference [analysis-dimensions.md](./references/analysis-dimensions.md) for the full framework.

Vocabulary Analysis
  • Complexity: Simple ↔ Complex
  • Formality: Casual ↔ Formal
  • Jargon: Technical ↔ Accessible
  • Signature words: Frequently used phrases
Sentence Analysis
  • Length: Average words per sentence
  • Variety: Standard deviation of sentence length
  • Structure: Simple vs. compound vs. complex ratio
  • Fragments: Used for emphasis? How often?
Paragraph Analysis
  • Length: Average sentences per paragraph
  • Opening patterns: How do paragraphs typically start?
  • Closing patterns: How do paragraphs typically end?
Rhythm Analysis
  • Pacing: Quick (short sentences) vs. measured (longer)
  • Punctuation style: Dashes, semicolons, parentheses
  • White space: Dense vs. airy paragraphs
Emotional Analysis
  • Tone: Optimistic, skeptical, neutral, passionate
  • Distance: Intimate (I, you) vs. distant (one, they)
  • Stakes: High urgency vs. calm reflection
Step 3: Document Patterns

For each dimension, document:

  1. The observed pattern
  2. A concrete example
  3. A counter-example (what this voice avoids)
Step 4: Create Profile

Use [extraction-templates.md](./references/extraction-templates.md) to structure your findings.

Output: .claude/voice-profiles/[name].yaml

Using Voice Profiles
In Writing Commands
# In /writing:draft
style:
  voice_profile: "kieran-blog"
  # OR
  voice_profile: ".claude/voice-profiles/client-name.yaml"
For Voice Guardian

The voice-guardian agent uses profiles to:

  • Score voice consistency (0-100)
  • Identify drift points
  • Suggest specific fixes

Target score: 85+

For New Writers

When onboarding writers to match an existing voice:

  1. Share the voice profile
  2. Share the exemplars
  3. Run voice-guardian on their drafts
Quick Extraction Workflow

For rapid voice capture (when you need a profile fast):

## Quick Profile: [Name]

**Based on**: [X] samples totaling [Y] words

### Core Traits
- [Trait 1]
- [Trait 2]
- [Trait 3]

### Sentence Patterns
Average length: [X] words
Common patterns:
- [Pattern 1]
- [Pattern 2]

### Vocabulary Markers
**Signature words**: [list]
**Avoided words**: [list]

### Tone
[Brief description]

### Quick Examples
Good: "[example that nails the voice]"
Bad: "[example that would violate it]"
Common Extraction Challenges
Challenge: Too Few Samples

Problem: Can't identify patterns from 1-2 samples. Solution: Ask for more content or analyze published work from the same source.

Challenge: Inconsistent Source

Problem: The sample voice varies significantly. Solution: Either document the variation (multiple profiles) or focus on the most recent/best examples.

Challenge: Style vs. Voice

Problem: Confusing topic-specific style with core voice. Solution: Analyze samples on different topics. What stays constant? That's the voice.

Challenge: Unconscious Patterns

Problem: Author doesn't know what makes their voice distinctive. Solution: Compare to other writers. What's different? That's often the key.

Quality Checklist

A voice profile is complete when:

  • [ ] All three layers are populated
  • [ ] At least 3 exemplars are documented
  • [ ] Prohibited patterns are explicit
  • [ ] Channel variations are noted
  • [ ] A test passage can be evaluated against it
  • [ ] Someone unfamiliar with the voice could use it
References
  • [extraction-templates.md](./references/extraction-templates.md) - Templates for structured extraction
  • [analysis-dimensions.md](./references/analysis-dimensions.md) - All dimensions to analyze
  • [example-profiles.md](./references/example-profiles.md) - Sample voice profiles for reference
  • [voice-profile-template.yaml](./assets/voice-profile-template.yaml) - The YAML template
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。