Voice dna 创建
- 作者仓库星标 36
- 作者仓库 ai-co-writing-claude-skills
Voice DNA Creator
Analyze writing samples to extract and codify a unique voice profile that AI can use to replicate your authentic writing style.
When to Use This Skill
- Setting up a new writing system
- Creating voice profiles for clients (ghostwriting)
- Updating voice profiles after style evolution
- Onboarding into content creation workflow
Requirements
The user must provide:
- Minimum: 3 writing samples (500+ words each)
- Ideal: 5-10 samples across different content types
- Best: Mix of casual (social posts) and formal (articles) content
Analysis Process
Step 1: Collect Samples
Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be:
- Newsletter issues
- Blog posts
- Social media posts
- Emails you've written
- Any content where you feel 'this sounds like me'
Paste them here or point me to files in the knowledge folder."
Step 2: Analyze Core Elements
For each sample, analyze:
Personality Markers
- What personality traits come through?
- What's the energy level?
- How does the writer relate to the reader?
Emotional Range
- What emotions are expressed?
- How intense are they?
- What's the dominant emotional tone?
Communication Style
- Formality level (casual to professional)
- Sentence length patterns
- Paragraph structure
- Use of questions, commands, statements
Language Patterns
- Signature phrases that repeat
- Power words used frequently
- Transition phrases
- Opening and closing patterns
What They Avoid
- Words or phrases never used
- Tones never taken
- Approaches avoided
Formatting Habits
- Emoji usage
- List usage
- Header styles
- Bold/italic patterns
Step 3: Synthesize Findings
Combine analysis across all samples to identify:
- Consistent patterns (appear in most samples)
- Contextual variations (change based on content type)
- Core voice elements (never change)
Step 4: Generate Voice DNA
Create the profile following this structure:
{
"voice_dna": {
"version": "1.0",
"last_updated": "YYYY-MM-DD",
"core_essence": {
"identity": "",
"primary_role": "",
"unique_angle": ""
},
"personality_traits": {
"primary": [],
"how_it_shows": {}
},
"emotional_palette": {
"dominant_emotions": [],
"emotional_range": {},
"energy_level": ""
},
"communication_style": {
"formality": "",
"complexity": "",
"sentence_structure": {},
"paragraph_style": ""
},
"language_patterns": {
"signature_phrases": [],
"power_words": [],
"words_to_avoid": [],
"transitions": []
},
"never_say": {
"phrases": [],
"tones": [],
"approaches": []
},
"formatting_preferences": {},
"content_philosophy": {},
"voice_examples": {
"opening_lines": [],
"closing_lines": [],
"transitional_phrases": []
}
}
}
Output Instructions
After analysis, present key findings in a summary
Generate the complete JSON voice profile
Save to
/context/voice-dna.jsonProvide 3 example sentences written in the captured voice for validation
Ask: "Does this capture your voice? What would you adjust?"
Best Practices
- Focus on TONE and PERSONALITY, not just word choice
- Avoid creating a profile that just repeats phrases
- Capture the "feeling" of the writing, not just patterns
- Include what NOT to do (equally important)
- Make the profile actionable for content generation
Validation Test
After creating the profile, write a short paragraph on any topic using ONLY the voice DNA as guidance. Ask the user: "Does this sound like you?"
If not, iterate on the profile based on feedback.
Common Pitfalls to Avoid
- Don't just list frequently used words
- Don't create a parody of the voice (too exaggerated)
- Don't ignore context (social posts ≠ articles)
- Don't miss the underlying personality
- Don't forget emotional elements
- 流狐分类
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- 88 / 100 · 启发式扫描,不代表运行安全
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- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Analysis Process
Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be: Newsletter issues Blog posts
For each sample, analyze: Personality Markers What personality traits come through?
Combine analysis across all samples to identify: Consistent patterns (appear in most samples) Contextual variations (change based on content type)
Create the profile following this structure:
# Voice DNA Creator
Analyze writing samples to extract and codify a unique voice profile that AI can use to replicate your authentic writing style.
## When to Use This Skill
- Setting up a new writing system
- Creating voice profiles for clients (ghostwriting)
- Updating voice profiles after style evolution
- Onboarding into content creation workflow
## Requirements
The user must provide:
- **Minimum**: 3 writing samples (500+ words each)
- **Ideal**: 5-10 samples across different content types
- **Best**: Mix of casual (social posts) and formal (articles) content
## Analysis Process
### Step 1: Collect Samples
Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be:
- Newsletter issues
- Blog posts
- Social media posts
- Emails you've written
- Any content where you feel 'this sounds like me'
Paste them here or point me to files in the knowledge folder."
### Step 2: Analyze Core Elements
For each sample, analyze:
**Personality Markers**
- What personality traits come through?
- What's the energy level?
- How does the writer relate to the reader?
**Emotional Range**
- What emotions are expressed?
- How intense are they?
- What's the dominant emotional tone?
**Communication Style**
- Formality level (casual to professional)
- Sentence length patterns
- Paragraph structure
- Use of questions, commands, statements
**Language Patterns**
- Signature phrases that repeat
- Power words used frequently
- Transition phrases
- Opening and closing patterns
**What They Avoid**
- Words or phrases never used
- Tones never taken
- Approaches avoided
**Formatting Habits**
- Emoji usage
- List usage
- Header styles
- Bold/italic patterns
### Step 3: Synthesize Findings
Combine analysis across all samples to identify:
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> When to Use This Skill → Requirements → Analysis Process → Step 1: Collect Samples → Step 2: Analyze Core Elements → Step 3: Synthesize Findings
要点 -> Minimum · Ideal · Best · Personality Markers · Emotional Range · Communication Style · Language Patterns · What They Avoid
文件/命令 -> /context/voice-dna.json · Bold/italic · context/voice-dna.json
内容 SHA-256 -> 109842b39348
方法与流程
适用与边界
原文中的明确线索
/context/voice-dna.json、Bold/italic、context/voice-dna.json