Agent skill

Skill Voice Builder

by ZJU-REAL in ZJU-REAL/Easel

通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel.

Apache-2.0Auto-check passedDevelopment

Install Skill Voice Builder

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-voice-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-voice-builder .claude/skills/skill-voice-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-voice-builder
GitHub stars
3.4k
Token cost
~587 tokens
SKILL.md length
166 words
Files
5 (incl. references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel.

  • Works in 7 steps: 自动启动访谈 → 分两批提问(共 6 题) → 生成 about-me.md → …
  • Tasks that involve Performance optimization
  • SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Voice Builder is an agent skill from ZJU-REAL/Easel. 通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致。 当用户说"声音画像""我的写作风格""风格一致""建立人设语气""voice/tone""我的表达习惯""统一文风"时使用。 和 skill-audience-profiler 的区别:本 SKILL 建创作者自己的声音画像;audience-profiler 建目标受众/粉丝画像。

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `EASEL-META.md`, `references/interview-questions.md` and `references/sample-content.md`).

It sits in Development, covering Performance optimization. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Performance optimization

Example prompts

  • “我的写作风格”
  • “建立人设语气”
  • “voice/tone”
  • “/skill-voice-builder”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 自动启动访谈
  2. 分两批提问(共 6 题)
  3. 生成 about-me.md
  4. 收集写作样本
  5. 分析样本
  6. 生成 voice.md
  7. 确认完成并提示下一步

What it can do on your machine

Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Voice Builder loads about 587 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 166 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~587
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 166 words, ~587 tokens.

Download SKILL.mdSave it as .claude/skills/skill-voice-builder/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
skill-voice-builder
description
通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致。 当用户说"声音画像""我的写作风格""风格一致""建立人设语气""voice/tone""我的表达习惯""统一文风"时使用。 和 skill-audience-profiler 的区别:本 SKILL 建创作者自己的声音画像;audience-profiler 建目标受众/粉丝画像。
layer
plan

声音画像构建

通过结构化访谈 + 写作样本分析,生成个人声音画像(about-me.md + voice.md),确保后续内容创作的品牌一致性。

输入

用户参与访谈并提供 3-5 篇写作样本(小红书笔记、抖音文案、B站文稿、微博帖子、公众号文章等)。

若用户没有样本,可输入 use samples 加载默认样本集 references/sample-content.md。

输出

两个文件,输出至项目根目录(独立的轻量声音产物,不属于 Profile 六维 schema;如需并入画像,可把要点回写到 profiles/<画像>/style.md):

  1. about-me.md(≤300 词)— 个人定位:身份定位、目标受众、主题支柱、行业观点、人设承诺、内容禁区
  2. voice.md(≤500 词)— 声音画像:正向信号(怎么写)+ 缺失信号(从不怎么写),合并在同一文件

执行步骤

1. 自动启动访谈

加载即执行,不做任何前言、摘要或确认。第一条消息必须是访谈问题。

禁止:

  • 总结本 SKILL 的功能
  • 询问用户是否准备好
  • 解释将生成哪些文件
2. 分两批提问(共 6 题)

使用 AskUserQuestion 工具,每批最多 4 题。

  • Batch 1(4 题):身份定位、目标受众、主题支柱、行业观点
  • Batch 2(2 题):人设承诺、内容禁区

问题详情及选项 → interview-questions.md

Batch 1 回答后立即发送 Batch 2,中间不做评论。若有答案为空,单独追问一次后继续。

3. 生成 about-me.md

根据 6 题答案撰写,结构:

# 我的定位
## 身份与定位
## 目标受众
## 内容主题支柱
## 行业观点
## 人设承诺
## 内容禁区

≤300 词。每一行都应是后续创作时可直接引用的信息。

4. 收集写作样本

提示用户粘贴 3-5 篇写作样本。支持一次性粘贴或逐篇发送。

  • 最少 3 篇才可进入分析,不足时追问
  • 用户输入 use samples → 加载 references/sample-content.md,告知样本作者并提醒可随时替换
5. 分析样本

跨所有样本寻找模式,不依赖单篇特征。

分析维度详情 → voice-analysis-dimensions.md

四个分析维度:

  • 声音信号 — 句长、段落节奏、开头风格、人称、语调、标志性短语、CTA 风格
  • 结构信号 — 长度范围、列表 vs 散文、开头/结尾模式、过渡手法
  • 主题信号 — 跨样本的高频主题、隐含受众、作者立场
  • 缺失信号 — 从未出现的词汇/标点、从未使用的开头类型、从未触及的语调
6. 生成 voice.md

综合声音画像,正向信号与缺失信号合并在同一文件:

# 我的声音画像
## 我听起来像谁
## 语气基调
## 句子节奏
## 开头钩子
## 我怎么开头
## 我怎么收尾
## 标志性表达
## 内容禁区
## 这个声音从不做的事

≤500 词。每个章节必须基于样本实证,不得编造。内容禁区 和 这个声音从不做的事 必须有样本缺失证据支撑。

7. 确认完成并提示下一步

告知用户两个文件已就绪,后续创作将自动引用。提示可用的下一步操作。

Profile 感知

  • 有 Profile — 从 Profile 中预填受众、平台、调性偏好等已知信息,访谈时跳过已有答案或用于验证;voice.md 中标注与 Profile 的一致性。
  • 无 Profile — 完整执行全部 6 题访谈,生成通用声音画像。

规则

  1. 加载即执行 — 不做摘要、不做解释、直接开始访谈
  2. 最少 3 篇样本 — 少于 3 篇不启动分析
  3. 基于实证 — 从样本中提取模式,不编造不存在的特征
  4. 矛盾保留 — 样本间风格矛盾时如实记录,不做平滑处理
  5. 字数限制 — about-me.md ≤300 词,voice.md ≤500 词
  6. 产物格式 — 所有样本内容使用代码块输出,保留换行和空白
  7. 不重复 — voice.md 不重复 about-me.md 中已有的受众和主题信息
  8. 语言 — 产物文件默认使用中文(除非样本明确为英文)
  9. 禁用破折号 — 产物文件和草稿中不使用 em dash

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/openclaw/skill-voice-builder of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/interview-questions.md
  • references/sample-content.md
  • references/voice-analysis-dimensions.md

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Voice Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Voice Builder compared with similar skills
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Skill Voice Builder this skillZJU-REAL/Easel3.4k—~587Automated safety check: PassApache-2.0
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LLM Torch Profiler Analysissgl-project/sglang37k2 repos~6.4kAutomated safety check: PassApache-2.0
Pycrazyguitar/pysheeet8.2k—~886Automated safety check: PassMIT
Cmux Debugging Guidemanaflow-ai/cmux28k1 repos~1.1kAutomated safety check: PassCustom licence
Analyzing .NET Performancedotnet/skills5.6k3 repos~3.1kAutomated safety check: PassMIT

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Categories

Questions about Skill Voice Builder

What does Skill Voice Builder do?

通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel. Skill Voice Builder is an agent skill from ZJU-REAL/Easel.

When should I use Skill Voice Builder?

Skill Voice Builder fits situations like: tasks that involve Performance optimization.

How do I install Skill Voice Builder in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a claude-code`. Or copy the skill folder (skills/openclaw/skill-voice-builder in ZJU-REAL/Easel) into .claude/skills/skill-voice-builder in your project. Claude Code loads it when a task matches its description.

How do I install Skill Voice Builder in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a codex`. Or copy the skill folder (skills/openclaw/skill-voice-builder in ZJU-REAL/Easel) into .agents/skills/skill-voice-builder in your project. Codex loads it when a task matches its description.

Can I use Skill Voice Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-voice-builder, .gemini/skills/skill-voice-builder, .github/skills/skill-voice-builder and .opencode/skills/skill-voice-builder in your project.

What does Skill Voice Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Voice Builder is instructions for the agent only.

Does Skill Voice Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Voice Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Voice Builder use?

Skill Voice Builder is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Voice Builder use?

About 587 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Skill Voice Builder?

Skills that share tags, products or a category with Skill Voice Builder: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Voice Builder?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.