Agent skill · Media & Video

video-cut

把长视频按 Agent 选择的原片区间剪成短片。作为两阶段创作流程中的剪辑环节,读取 clip_plan.json 与源视频, 输出 edited_source.mp4;随后 Agent 按输出时间线写 narration.json。单独调用且未传 --no-narration-map 时, 仍支持旧版单阶段路径,把原片时间的 narration.json 映射为 narration_mapped.json。 触发词:视频剪辑、剪辑式解说、video cut、clip plan、拼剪。

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

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

Facts
Files in the skill folder: 9
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/video-cut/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 本技能只执行 Agent 已经做出的剪辑决定: 1. 校验并补全 `clip_plan.json`,写出带 `clip_id`、原片/输出时间与时长的 `clip_plan_validated.json`。 2. 先避开原片硬切附近的闪帧风险,最后把边界吸附到可靠句末/自然停顿;声音完整性拥有最终优先级。 3. 拼接选定区间,输出 `edited_source.mp4`。 4. 编排流程默认到此停止,由 Agent 按真实输出时间线写 `narration.json`。 5. 旧版单阶段路径还会把原片时间的旁白映射为 `narration_mapped.json`。 相同输入会得到相同输出。缓存仅表示:当 `edited_source.mp4` 新于 `clip_plan.json` 时复用成片。 ## 2. 输入契约 `work_dir/clip_plan.json`

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

把长视频按 Agent 选择的原片区间剪成短片。作为两阶段创作流程中的剪辑环节,读取 clip_plan.json 与源视频, 输出 edited_source.mp4;随后 Agent 按输出时间线写 narration.json。单独调用且未传 --no-narration-map 时, 仍支持旧版单阶段路径,把原片时间的 narration.json 映射为 narration_mapped.json。 触发词:视频剪辑、剪辑式解说、video cut、clip plan、拼剪。

How do I install it?

Run `npx skills add worldwonderer/video-recap-skills --skill video-cut --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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