音频生成
- 作者仓库星标 36
- 作者更新于 实时读取
- 作者仓库 ai-co-writing-claude-skills
- 领域
- 文档
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @az9713 · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
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- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
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。
---
name: voice-dna-creator
description: Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to…
category: 文档
runtime: 无特殊运行时
---
# voice-dna-creator 输出预览
## PART A: 任务判断
- 适用问题:PRD、RFC、README、项目说明或知识库整理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“When to Use This Skill / Requirements / Analysis Process”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于PRD、RFC、README、项目说明或知识库整理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“When to Use This Skill / Requirements / Analysis Process”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/context` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“When to Use This Skill / Requirements / Analysis Process”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: voice-dna-creator
description: Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to…
category: 文档
source: az9713/ai-co-writing-claude-skills
---
# voice-dna-creator
## 什么时候使用
- 把项目文档方向的常用动作沉淀成 Agent 可调用的技能 适合处理README、PRD、RFC、教程和知识库文档,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的…
- 面向PRD、RFC、README、项目说明或知识库整理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「When to Use This Skill / Requirements / Analysis Process」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "voice-dna-creator" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> When to Use This Skill / Requirements / Analysis Process
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} 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
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核