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Agent Skill · 开发

newsletter-voice(时事通讯声音)

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。

newsletter-voice 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 20,391。

总安装 222周安装 9GitHub Stars 520下载 70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
unknown

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:newsletter-voice(时事通讯声音)
来源仓库:https://github.com/charlie947/social-media-skills
仓库路径:skills/newsletter-voice
安装命令:
npx skills add https://github.com/charlie947/social-media-skills --skill newsletter-voice
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/charlie947/social-media-skills --skill newsletter-voice

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

newsletter-voice 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。适用于音频处理、语音合成、音乐制作等开发相关任务场景。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和联网需求。安装前建议核实维护状态、是否会触发命令执行或文件读写操作。可结合原始 README 文档进一步核验具体功能和使用方法。

来源仓库内路径:skills/newsletter-voice

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/charlie947/social-media-skills --skill newslet…;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

newsletter-voice 怎么安装?

在终端执行 npx skills add https://github.com/charlie947/social-media-skills --skill newsletter-voice。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

newsletter-voice 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。

newsletter-voice 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。

newsletter-voice 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

newsletter-voice 用的人多吗?

公开数据是累计安装 222 次,近一周安装 9 次,下载 70 次,GitHub 520 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。

newsletter-voice 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
newsletter-voice

时事通讯声音 · 本页

222520只读未明确通过

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

Newsletter Voice

Prerequisites check

The moment this skill is triggered, check the project root for voice.md and about-me.md.

If either file is missing, tell the user:

Newsletter voice sits on top of your general voice profile. Run voice-builder first (upload the skill or say "build my voice"), then come back here once about-me.md and voice.md are in the project.

Then stop. Do not continue until both files exist.

If both files exist, read them fully, then go straight to Step 1.

Step 1. Check for samples

Ask the user in chat:

Do you have 2 to 3 past newsletter issues I can learn from? Yes: paste them here (one per message or all at once) No: type "archetype" and I will build from a template tuned to your voice

Wait for response.

If the user pastes 2 or more newsletters, go to Step 2a. If the user types "archetype", go to Step 2b. If the user pastes 1 newsletter, ask for at least one more. If they only have one, offer: "One sample is not enough for pattern detection. Want me to switch to archetype mode and use your one newsletter as a reference point?"

Step 2a. Sample-based analysis

Read every newsletter fully. Look for patterns across issues, not one-off quirks. Extract:

Opening formula

  • What the first 3 sentences do (specific result, cultural observation, claim, scene, question)
  • Length of the opening section before the first structural break
  • Credibility move (how the author establishes authority early)
  • Value promise (what the reader is told they will get)

Section structure

  • Problem or contrast setup
  • Named framework or free prose
  • Numbered steps, methods, or continuous argument
  • Examples and evidence patterns
  • Bonus or extension section
  • Closing formula and signoff

Data philosophy

  • Specific numbers per issue (count them)
  • Source attribution style (linked, named, uncredited)
  • Example-to-abstraction ratio
  • Limitation or failure acknowledgements

Formatting

  • Header usage (frequency, hierarchy)
  • List usage (numbered, bulleted, arrows)
  • Bold and italic usage
  • Prompt, code block, or blockquote formatting
  • Visual markers (arrows, checkmarks, emojis if any)

Length

  • Word count range across samples
  • Section word counts

Voice markers unique to newsletter format

  • Pro tips or callouts (frequency, format)
  • Forward-looking closings
  • Signoff phrase if consistent across samples
  • Meta-transparency (does the author reflect on the process or ask for feedback)

Absence signals

  • Words, constructions, or structures absent from every sample
  • Closing moves the author never uses
  • Topics the author never touches

Then go to Step 3.

Step 2b. Archetype selection

Call the AskUserQuestion tool with a single question:

[
  {
    "question": "Which newsletter archetype fits what you want to write?",
    "header": "Archetype",
    "multiSelect": false,
    "options": [
      {"label": "Data tutorial", "description": "Numbers, frameworks, step-by-step methods with prompts"},
      {"label": "Contrarian essay", "description": "Take a position, defend it, name the opposition"},
      {"label": "Case study teardown", "description": "One subject per issue, unpacked in depth"},
      {"label": "Curated digest", "description": "5 to 7 links with your commentary each week"},
      {"label": "Personal essay", "description": "Reflection on a theme, story-first"},
      {"label": "Interview or profile", "description": "One person per issue, Q and A or narrative"}
    ]
  }
]

After the user picks an archetype, load the matching defaults from references/archetypes.md inside this skill folder. Tune every field using voice.md and about-me.md before writing newsletter-voice.md. Flag inside the output file that archetype defaults were used and the file should be revisited after 5 published issues.

Step 3. Write newsletter-voice.md

Create newsletter-voice.md in the project root. Single file, 800 to 1,200 words target. Use this structure:

# Newsletter Voice

## Source
[Sample-based: analysed X newsletter issues] OR [Archetype-based: [archetype name] tuned to voice.md. Revisit after 5 published issues.]

## Audience and purpose
[Who reads this newsletter and what they get from it. Written from about-me.md and voice.md. 2 to 3 sentences.]

## Voice principles
[3 to 5 core principles the writing always holds. Each one a short declarative sentence. Tuned to this user's voice.md.]

## Opening formula
[How issues start. Include 2 concrete templates with bracketed placeholders, e.g. "[Specific result with number]. [Credibility marker]. [Value promise for this issue]." Target word count for the opening section.]

## Section flow
[Standard structure of an issue, section by section, 5 to 8 sections max. Brief notes on what each section does and how long it runs.]

## Data and evidence
[How numbers and examples are used. Specific rules, e.g. "every claim needs a number", "sources linked inline", "example-to-abstraction ratio roughly 3:1".]

## Formatting rules
[Headers, lists, bold, italic, code blocks, visual markers. What to use, what to avoid. Drawn from samples or archetype defaults.]

## Closing and signoff
[How issues end. Forward-looking statement versus summary. Signoff phrase if a consistent one exists across samples (do not invent one).]

## What this newsletter never does
[1 short paragraph or 3 to 5 items. Drawn from absence patterns across samples or archetype defaults. Behaviours only, not a banned-words list.]

## Length
[Word count target for standard issues. Separate target for longer comprehensive guides if the user writes both formats.]

Fill every section from the samples (or tuned archetype defaults). No generic filler. If the samples do not cover something, say "no clear pattern across samples" rather than guessing.

Step 4. Confirm and hand off

Tell the user:

Your newsletter voice is built. newsletter-voice.md is in your project root alongside about-me.md and voice.md. When you want to draft an issue, say "write a newsletter" and I will use all three files together. [If archetype mode: Remember this file was built from archetype defaults. After 5 or so published issues, re-run this skill with your real samples for a sharper profile.]

What this skill produces

One file in the project root:

  • newsletter-voice.md: newsletter-specific writing instructions covering audience, voice principles, opening formula, section flow, data philosophy, formatting, closing, absence patterns, and length targets

Rules

  • Require voice.md and about-me.md in the project root before running. Stop and redirect to voice-builder if either is missing.
  • Minimum 2 newsletter samples if the user chooses sample-based mode. Offer archetype mode if fewer.
  • Keep newsletter-voice.md under 1,200 words. Tight beats exhaustive.
  • Do not invent voice signals. Work only from samples or archetype defaults tuned to voice.md.
  • Do not duplicate content from voice.md. Reference it where relevant. newsletter-voice.md adds newsletter-specific rules only.
  • Do not bake in the user's specific names, URLs, or signoff phrases unless they appear consistently across 2 or more samples.
  • Do not produce a separate voice or banned-words file. Absence patterns live inside newsletter-voice.md as a single section.
  • British English throughout unless samples are clearly American.
  • Never use em dashes in any output file or in any draft.

平台分布

Codex

34.44%
按下载量换算24

Claude

29.19%
按下载量换算20

Cursor

17.27%
按下载量换算12

Gemini CLI

10.09%
按下载量换算7

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。目前只有一个公开来源,建议同时核对源仓库。

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