Agent skill

wjs-voicedrop-post-processing

Use when a newly mined VoiceDrop article needs automated post-processing — invoked headless by the 5-minute poller (launchd com.jianshuo.voicedrop-postprocess) with the article stem as argument. Triggers — "/wjs-voicedrop-post-processing <stem>".

Jian Shuo Wang112★ · 1 repos on radarProfile →
claude-codecodexMIT
Install
npx skills add jianshuo/claude-skills --skill wjs-voicedrop-post-processing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: wjs-voicedrop-post-processing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 112
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# VoiceDrop 文章后处理 输入:文章 stem,由调用参数给出($ARGUMENTS)。 运行环境:无人值守 `claude -p`,voicedrop MCP 已接好(读文章/写版本工具可用;发布、删除、社区、花钱类工具已被调用方禁用)。不要问任何问题,跑完即退。 ## 流程 1. 用 voicedrop MCP 的读文章工具取回该 stem 的文章全文与元数据。读不到就重试一次,再失败以非零退出(轮询器下一轮会重试)。 2. 【后处理动作——待建硕定义,目前是骨架版:只检查,不改动文章】 - 检查正文非空、标题存在 - 最后输出一行:`postprocess ok: <stem> — <标题>(<字数>字)` ## 铁律(同夜班编辑) - 绝不发布、绝不删除、绝不碰文风库和社区。 - 将来若要改文章,只能走「写新版本」,不切 head。 ## 待定义 后处理具体做什么(配图 / 打标签 / 质量评分 / 生成摘要…)想好后,替换第 2 步即可,轮询器不用动。

What's inside
Steps it walks through
  1. 流程
  2. 铁律(同夜班编辑)
  3. 待定义
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About this skill
What does the wjs-voicedrop-post-processing skill do?

Use when a newly mined VoiceDrop article needs automated post-processing — invoked headless by the 5-minute poller (launchd com.jianshuo.voicedrop-postprocess) with the article stem as argument. Triggers — "/wjs-voicedrop-post-processing <stem>".

How do I install it?

Run `npx skills add jianshuo/claude-skills --skill wjs-voicedrop-post-processing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jianshuo/claude-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going