Agent skill · Media & Video

video-voiceover

把带时间戳的 narration.json 合成为中文解说音频。使用 MiMo TTS(mimo-v2.5-tts)逐段生成语音, 按时间窗动态适配语速并处理响度;输入输出时间线上的旁白,产出 tts_segments 与 tts_meta.json。 旧版直接剪辑路径也可显式传入 narration_mapped.json。触发词:配音、语音合成、TTS、解说配音、 voiceover、text to speech、旁白配音。

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

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

Facts
Files in the skill folder: 5
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/video-voiceover/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 本技能读取带时间戳的旁白稿,为每一段生成独立音频,并把语音适配到对应时间窗,随后记录下游合成所需的放置元数据。 当前唯一引擎是 MiMo TTS(`mimo-v2.5-tts`)。 ## 2. 环境要求 ```bash export MIMO_API_KEY=*** # 也可使用仅供 TTS 的 MIMO_TTS_API_KEY ``` 下面的 `scripts/...` 均相对于本技能目录。若执行器从仓库根目录启动,请给脚本路径加上本技能的绝对目录。 脚本不从其他技能目录读取文件;外部输入仅限命令显式传入的稿件、音频、参数与 `work_dir` 产物。 ## 3. 输入契约 默认输入为 `work_dir/narration.json`。每段必须包含 `start`、`end` 与 `narration`,可选字段包括 `pause_after_ms` 和 `over

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

把带时间戳的 narration.json 合成为中文解说音频。使用 MiMo TTS(mimo-v2.5-tts)逐段生成语音, 按时间窗动态适配语速并处理响度;输入输出时间线上的旁白,产出 tts_segments 与 tts_meta.json。 旧版直接剪辑路径也可显式传入 narration_mapped.json。触发词:配音、语音合成、TTS、解说配音、 voiceover、text to speech、旁白配音。

How do I install it?

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