Agent skill · Media & Video

video-recap

从输入视频端到端生成中文解说成片。用户提供 .mp4 / .mov / .mkv / .webm,并要求添加旁白、 配音、总结、短剧/电视剧/电影/纪录片/科普解说时使用。负责编排 video-* 技能链:视频理解 → Agent 制定故事与视听方案 → 剪辑 → 配音 → 合成。触发词:视频解说、视频旁白、生成解说、 视频 recap、video recap、voiceover、narration、auto-dub、recap。

pitechen592★ · +23/wk · 2 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add worldwonderer/video-recap-skills --skill video-recap --agent claude-code

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

Facts
Files in the skill folder: 28
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/video-recap/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 423 · +23 this week
Language: Python
Read our review of the source →

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

From the SKILL.md

## 1. 定位与流程 本技能是五个独立技能的轻量编排器。各技能只通过 `work_dir` 中的 JSON / MP4 产物通信,不共享代码: ```text video-understanding ─▶ Agent 按 video-script 制定方案并写稿 ─▶ [video-cut] ─▶ video-voiceover ─▶ video-assemble ``` 流程支持断点续跑:写好 `narration.json` 后重复同一条命令即可继续。第二阶段会校验 `recap_run_manifest.json`,拒绝复用来自其他源视频或其他运行参数的旧工作目录;视频理解产物也只在来源一致时复用。 ## 2. 创作职责 这不是单纯的 JSON / 渲染流水线。Agent 是本次内容的创作负责人,在进入昂贵的下游处理前,必须按顺序完成五次判断: 1. **导演判断**:确定观众承诺

More from video-recap-skills
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About this skill
What does the video-recap skill do?

从输入视频端到端生成中文解说成片。用户提供 .mp4 / .mov / .mkv / .webm,并要求添加旁白、 配音、总结、短剧/电视剧/电影/纪录片/科普解说时使用。负责编排 video-* 技能链:视频理解 → Agent 制定故事与视听方案 → 剪辑 → 配音 → 合成。触发词:视频解说、视频旁白、生成解说、 视频 recap、video recap、voiceover、narration、auto-dub、recap。

How do I install it?

Run `npx skills add worldwonderer/video-recap-skills --skill video-recap --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 worldwonderer/video-recap-skills, a repository with 423 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.

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