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Agent Skill · AI 工具

voice-analysis(语音分析)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

voice-analysis 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 360。

总安装 6,521周安装 269GitHub Stars 69下载 2,130核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:voice-analysis(语音分析)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/voice-analysis
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill voice-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill voice-analysis

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

用于辅助音频、音乐、语音转写、语音合成或声音素材处理,适合生成配乐说明或整理音频流程。适用于调用语音工具、处理播客和视频配音素材等场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。使用时需确认输入音频来源、输出格式及时长限制,注意版权合规边界。

voice-analysis 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/voice-analysis

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jwynia/agent-skills --skill voice-analysis;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

voice-analysis 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill voice-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

voice-analysis 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

voice-analysis 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

voice-analysis 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

voice-analysis 用的人多吗?

公开数据是累计安装 6,521 次,近一周安装 269 次,下载 2,130 次,GitHub 69 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

voice-analysis 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
voice-analysis

语音分析 · 本页

6,52169只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Voice & Tone Analysis

Purpose

Extract and document a writer's distinctive voice patterns for consistent reproduction. Creates a "voice guide" that enables authentic writing that sounds like the source, not a generic approximation.

Core Principle

Capture spirit, not just mechanics. The goal is writing that makes the source say "yes, that's me" not "I guess that's accurate."


Phase 1: Sample Collection

Gather 5-10 Examples from Each Category

Peak Voice - Writing they identify as "most them"

Off-Voice - Writing that doesn't represent them well

Different Contexts:

  • Technical/instructional content
  • Persuasive/argumentative pieces
  • Narrative/storytelling
  • Casual communication (emails, messages)
  • Formal communication
  • Emotional/vulnerable content

Self-Report Prompts

Rewrite Exercise: Ask: "Rewrite this neutral paragraph in your voice:"

"The new policy will be implemented next month. It includes several changes to current procedures. Employees should review documentation and submit questions by the deadline."

Rule Breaking: "What writing 'rules' do you consistently ignore? Why?"

Pet Peeves: "What writing choices immediately signal something wasn't written by you?"

Evolution: "How has your writing changed in 5 years? What stayed constant?"


Phase 2: Linguistic Analysis

Sentence Level

PatternWhat to Track
Average lengthWords per sentence
RangeShortest to longest
FragmentsUsage frequency, contexts
Run-onsTendency, intentionality
Opening patternsHow sentences typically start
Closing patternsHow sentences typically end

Paragraph Architecture

ElementWhat to Track
Average lengthSentences per paragraph
Topic sentencesBeginning, middle, end, absent
TransitionsExplicit words, implicit flow, abrupt
Information orderBuild-up, front-load, circular

Punctuation Signature

MarkTrack Usage Pattern
Em dashInterruption, emphasis, list, asides
ParenthesesFrequency, content type
SemicolonPresence, absence, alternative
EllipsisTrailing, pause, omission
ExclamationFrequency, contexts
Rhetorical questionsFrequency, function

Phase 3: Lexical Fingerprinting

Word Choice Matrix

CategoryPreferredAvoidedSignature Examples
Technical terms
Colloquialisms
Intensifiersvery, extremely, quite...
Hedgingperhaps, might, seems...
Abstract/concrete

Register Analysis

  • Consistent register (formal/informal throughout)
  • Deliberate register mixing (formal content, casual asides)
  • Context-dependent shifting (formal for X, casual for Y)

Recurring Constructions

List phrases/patterns appearing 3+ times:

  1. 2. 3.

Phase 4: Conceptual DNA

Metaphor Mapping

Source DomainTarget DomainExampleFrequency
(war, journey, building...)(ideas, processes...)

Reference Pool

  • Cultural touchstones: (movies, books, memes, history...)
  • Time period: (contemporary, 90s, classic...)
  • Accessibility level: (mainstream, niche, insider)
  • Domains drawn from: (sports, cooking, science...)

Reasoning Patterns

Rate 1-5 for prevalence:

  • Analogical reasoning (like X, therefore Y)
  • First principles (from basics up)
  • Empirical evidence (data, studies)
  • Personal anecdote (I experienced...)
  • Hypotheticals (imagine if...)
  • Socratic questioning (but what if...?)

Phase 5: Emotional Texture

Enthusiasm Spectrum

LowMediumHigh
(understated)(balanced)(expressive)

Criticism Styles

StyleWhen UsedMarkers
Direct"This is wrong because..."
Diplomatic"One consideration might be..."
Humorous"Well, that's one way to..."
Analytical"The issue breaks down to..."

Vulnerability Patterns

  • Admission phrases: "I'll admit...", "honestly..."
  • Uncertainty markers: "I think...", "not sure but..."
  • Personal revelation style: Direct? Buried in humor? Rare?

Phase 6: Reader Dynamics

Positioning

The writer positions as:

  • Expert/teacher (I know, let me explain)
  • Peer/collaborator (we're figuring this out together)
  • Student/learner (I'm working through this)
  • Challenger/provocateur (conventional wisdom is wrong)
  • Guide/facilitator (here's how to navigate)

Assumed Context

  • Shared knowledge level: Assumes expertise? Explains basics?
  • Cultural assumptions: In-group references? Universal?
  • Relationship warmth: Distant professional? Familiar?

Interactive Patterns

  • Questions per 1000 words: ___
  • Direct address frequency ("you"): ___
  • Imperative usage (commands): ___
  • Inclusive language ("we/us"): ___

Phase 7: Voice Guide Synthesis

Core Voice Statement

*In 2-3 sentences, capture the essence:*

The Rules That Matter Most

Always:

Never:

Usually, unless:

Sentence Construction Guide

  • Preferred length:
  • Variety pattern:
  • Opening moves:
  • Power positions: (where key info lands)

Word Selection Principles

  • Go-to words for [concept]:
  • Banned words/phrases:
  • Register rules:

Structural Signatures

  • Paragraph rhythm:
  • Transition style:
  • Information architecture:

Emotional Register

  • Default tone:
  • Excitement expression:
  • Criticism approach:
  • Vulnerability threshold:

The Litmus Test

A piece captures this voice when: 1. 2. 3.

Red Flags

Definitely NOT this voice when: 1. 2. 3.


Phase 8: Validation

Before finalizing the voice guide:

  • Can identify the author in a blind test?
  • Guided writing feels authentic, not performative?
  • Patterns are descriptive, not prescriptive?
  • Captures spirit, not just mechanics?
  • Source would say "yes, that's me"?

Quick Reference Template

In Every Piece

  • - -

The Heart of the Voice

*[Single paragraph essence]*

Emergency Voice Recovery

When writing has gone generic, add: 1. 2. 3.


Usage Notes

For AI Writing

Once the voice guide is complete, include relevant sections in the prompt to guide generation toward authentic voice reproduction.

For Self-Analysis

Writers can use this framework to understand their own voice, identify what makes their writing distinctive, and consciously apply those patterns.

For Editing

Use the voice guide as a checklist when editing to ensure consistency and authenticity.


Anti-Patterns

1. Mechanics Over Spirit

Pattern: Cataloging every linguistic feature without understanding what makes the voice feel distinctive. Why it fails: A perfect inventory of word frequencies and sentence lengths can produce writing that's technically accurate but feels like a parody. Voice is gestalt, not components. Fix: Start from "what makes this voice feel like this?" Work backward to mechanics. The inventory serves understanding; understanding doesn't emerge from inventory alone.

2. Single-Context Capture

Pattern: Analyzing voice from one type of writing, then applying it to all contexts. Why it fails: Writers shift voice across contexts. Technical writing voice differs from casual email voice. Capturing one context and forcing it everywhere creates uncanny artifacts. Fix: Sample across contexts. Map how voice shifts. Include context-switching rules in the voice guide. Understand which elements are constant vs. context-dependent.

3. Frequency as Rule

Pattern: If they use em-dashes 8% of the time, the voice guide prescribes 8% em-dash usage. Why it fails: Frequency is a statistical average, not a style rule. Forced frequency creates awkward placement. Natural writers don't count punctuation. Fix: Understand when they use em-dashes, not how often. "Uses em-dashes for dramatic interjections, rarely for lists" is actionable. "8% em-dashes" is not.

4. Imitation Artifacts

Pattern: Voice-guided writing that feels like someone doing an impression—technically accurate but overperformed. Why it fails: Distinctive features become tics when isolated. Real voice balances distinctive and neutral. Guides that catalog only distinctive features produce caricature. Fix: Include neutral baseline alongside distinctive features. Most sentences should sound natural, with distinctive features emerging at appropriate moments, not constantly.

5. Frozen Voice

Pattern: Treating the voice guide as permanent, not updating as the writer evolves. Why it fails: Writers change. A voice guide from 2020 may not fit 2025 writing. Using outdated guides produces writing that feels like an old version of the person. Fix: Note the capture date. Plan periodic updates. Include the writer's own reflections on how their voice has evolved. Treat the guide as living documentation.

Integration

Inbound (feeds into this skill)

SkillWhat it provides
(writing samples)Raw material for analysis
prose-styleSentence-level craft framework for analysis

Outbound (this skill enables)

SkillWhat this provides
prose-styleVoice-specific sentence construction guidance
dialogueVoice patterns for character speech
(AI generation)Voice guides for consistent AI-assisted writing

Complementary

SkillRelationship
prose-styleVoice-analysis captures what; prose-style provides how. Use voice-analysis first to understand the target, then prose-style to achieve it
dialogueVoice-analysis for authorial voice; dialogue skill for character voices within fiction

平台分布

Claude Code

31.31%
按下载量换算667

OpenCode

24.49%
按下载量换算522

Codex

15.61%
按下载量换算332

Cursor

12.79%
按下载量换算272

Gemini CLI

8.02%
按下载量换算171

Antigravity

3.56%
按下载量换算76

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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