#772 by GitHub stars

eternityspring/reelbench-skills

Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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`skills/video-scrub/SKILL.md`

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`skills/video-shots/SKILL.md`

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`skills/video-sync/SKILL.md`

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View on GitHub Add to my skills

Verified commit df39d5df9d7adc2f82acba5594579d60361a42c7

1.2kGitHub stars

18stars in 7 days

3skills in this repository

2commits in 30 days

Heat

6.2

Star growth, last 7 daysAhead of 89% of tracked repositories
Star growth, last 24 hoursAhead of 72% of tracked repositories
Rank movement, last 7 daysAhead of 41% of tracked repositories
Commits, last 30 daysAhead of 59% of tracked repositories
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekAhead of 0% of tracked repositories

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Individual skills in this repository

video-scrub skills/video-scrub
video-shots skills/video-shots
video-sync skills/video-sync

How it works

Choose a skill

video-scrub

When your agent uses it

把一条视频重建成「只有画面和声音」的干净文件——**源片的元数据一概不搬**： GPS、设备型号、账号 ID、创建时间、章节、GoPro 的遥测轨，全部留在原地。走的是白名单而不是黑名单：不列要删什么，只说带什么过去（画面一条流、声音一条流），隐私保证来自结构，不来自枚举。难点不在容器 tag，在**看不见的那几层**：x264 把完整编码参数写成 SEI 塞在码流里、 AAC 把版本号写进 DSE、avc1 的 compressorname 里还有一份——`ffprobe` 一个都看不见。五个藏身处逐一堵死，每一处都有实测。默认 `--mode copy`：**画面逐字节照搬**（cmp 验证过），只重编音频，53 秒的片子 1.3 秒跑完； `--mode encode` 完整重编码，多杀掉码流域的东西。验收不靠声称：把源片所有元数据字符串当「针」，在输出文件里做**字节级扫描**，扎到一根就红。12 道门全部由脚本确定性检查。零依赖、零 API key，只要 node 和 ffmpeg。 Use when asked to 清元数据、去元数据、抹掉视频信息、视频隐私、去水印信息、 strip video metadata、remove exif from video、scrub video。

What it loads into context

Frontmatter

543 tokens

Always available to the agent

SKILL.md

2,879 tokens

When the skill is activated

Reference documents

6,877 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

video-scrub

Scripts executed separately

scripts/selftest.mjs
scripts/video-scrub.mjs

Files

README.en.mddoc6,683 bytes
README.mddoc6,090 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
SKILL.mdcore9,323 bytes
references/profiles.mddoc3,195 bytes
references/residue-map.mddoc7,293 bytes
scripts/selftest.mjsruns17,687 bytes
scripts/video-scrub.mjsruns31,325 bytes

Read SKILL.md


## video-scrub

把一条视频重建成干净文件：**画面和声音带过去，元数据一个字节都不带。**

`{baseDir}` = 本文件所在目录。脚本 `{baseDir}/scripts/video-scrub.mjs`，零依赖，`node` 直接跑。

### 原理：白名单，不是黑名单

清元数据有两种思路，差别是死活：

| | 怎么做 | 问题 |
| --- | --- | --- |
| 黑名单 | 列出要删的字段逐个删（exiftool 那种） | **删不完你不知道的东西**——厂商私有的 udta、GoPro 的遥测轨、码流里的 SEI，漏一个就漏了 |
| **白名单** | 不说删什么，只说**带什么过去**：画面一条流、声音一条流，别的一律不要 | —— |

View the complete source on GitHub

video-shots

When your agent uses it

拉片：把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面。分工刻在骨子里：**能量的都由代码量**（切点来自 ffmpeg 场景检测，时长是切点相减，运动量是逐帧差分的中位数），模型只判断它真正该判断的那几件事（景别 / 类别 / 运镜 / 画面 / 节奏），然后每一条判断都被代码当场对账——**声称推拉摇移却实测几乎不动，门直接拦**。看片走联系表（每镜起手帧 + 收尾帧各拼一张大图，一屏二十几个镜头，a/b 对照就是运镜），不是一张张翻。检测漏刀多刀用 recut 补刀并刀，自动重编号重算时长，手改边界过不了门。产出 shots.json + Markdown 镜头表 + **单页交互式拉片报告**：内嵌播放器（播放时同步高亮镜头、点镜头跳转）、镜头节奏带、可搜索可筛选可排序的镜头表（列表 / 卡片两种视图、首尾关键帧并排、点图开大图）、景别类别运镜分布、出场人物、质量门、导出 JSON。单文件零依赖，离线双击能开。 15 道质量门全部由脚本确定性检查。零依赖、零 API key，只要 node 和 ffmpeg。 Use when asked to 拉片、拆镜头、分析视频镜头、镜头时长、景别、运镜、镜头表、 video shot breakdown、shot list from video。

What it loads into context

Frontmatter

619 tokens

Always available to the agent

SKILL.md

4,245 tokens

When the skill is activated

Reference documents

14,275 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

video-shots
边界
自测
自带样例

Scripts executed separately

scripts/report.js
scripts/selftest.mjs
scripts/video-shots.mjs

Files

README.en.mddoc9,868 bytes
README.mddoc8,467 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
SKILL.mdcore13,821 bytes
assets/report-mobile.pngasset128,870 bytes
assets/report.pngasset393,735 bytes
examples/demo-shots.jsonasset31,686 bytes
examples/demo-track.jsonasset3,926 bytes
references/analysis-pass.mddoc5,624 bytes
references/report-style.mddoc5,579 bytes
references/schema.mddoc5,372 bytes
references/taxonomy.mddoc11,939 bytes
scripts/report.cssasset33,842 bytes
scripts/report.jsruns20,988 bytes
scripts/selftest.mjsruns36,055 bytes
scripts/video-shots.mjsruns77,449 bytes

Read SKILL.md


## video-shots

给成片**拉片**——把一条片子拆成逐镜头的分析表：**时长、景别、类别、运镜、画面**。

**前提刻在骨子里：镜头边界是量出来的，不是看出来的。** 模型看视频最不可靠的就是报时间——
「这个镜头大概 3 秒」和「2.97 秒」差的不是精度，是这份表能不能用。所以这里划一条死线：

| 谁来定 | 什么 | 怎么定 |
| --- | --- | --- |
| **代码** | 切点、时长、片长、帧率 | ffmpeg 场景检测 + ffprobe，两位小数 |
| **代码** | 每个镜头的实测运动量 | 逐帧差分曲线的区间中位数（两端剔除，避开切点尖峰） |
| **模型** | 景别、类别、运镜、画面、节奏 | 看关键帧判断——**只有这几件事是模型的活** |
| **代码** | 判断对不对 | 15 道质量门，逐条对账 |

View the complete source on GitHub

video-sync

When your agent uses it

把拉片数据和原片合成一条**能直接看的视频**：一边是画面，一边是这一镜的分镜信息（镜号、起止、时长、景别、类别、运镜、画面描述、台词），**镜头切了信息跟着切**，镜头表自动滚动并高亮当前这一镜。版式只看原片的宽高比：**横版 / 方版 → 画面在上、信息在下；竖版 → 画面在左、信息在右**，画面永远原样缩放，不裁不拉。镜头表**随播放滚动**：切点处滚一小段把当前镜头带到锚点、随后停住，高亮条同步滑过去。实现上只截三张图（底板 + 铺开的长图 ×2），滚动与高亮由 ffmpeg 按时间裁窗， **布局全在 scripts/panel.css 里，改它就能改版式**，不用碰脚本。吃 video-shots 产出的 shots.json（有 frames/ 就把关键帧当缩略图用）。零 npm 依赖，用 ffmpeg 合成、无头浏览器渲面板。 Use when asked to 导出视频、合成视频、分镜视频、带分镜信息的视频、解说版视频、 video with shot info、annotated shot video。

What it loads into context

Frontmatter

524 tokens

Always available to the agent

SKILL.md

2,399 tokens

When the skill is activated

Reference documents

7,389 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

video-sync
边界
自测

Scripts executed separately

scripts/selftest.mjs
scripts/video-sync.mjs

Files

README.en.mddoc7,862 bytes
README.mddoc6,985 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
SKILL.mdcore7,623 bytes
assets/output-portrait.pngasset328,868 bytes
assets/panel-landscape.pngasset219,854 bytes
assets/panel-portrait.pngasset91,273 bytes
references/layout.mddoc6,608 bytes
references/panel-style.mddoc2,919 bytes
scripts/panel.cssasset6,971 bytes
scripts/panel.htmlasset5,537 bytes
scripts/selftest.mjsruns18,543 bytes
scripts/video-sync.mjsruns30,541 bytes

Read SKILL.md


## video-sync

把 **shots.json + 原片** 合成一条视频：画面一边，**当前镜头的分镜信息**另一边，
镜头切了信息跟着切，镜头表自动滚动并高亮。

**版式只看宽高比，不看别的：**

| 原片 | 版式 | 合成方式 |
| --- | --- | --- |
| 横版（宽 > 高）、方版 | **画面在上，信息在下** | `vstack` |
| 竖版（高 > 宽） | **画面在左，信息在右** | `hstack` |

两个方向都保证**画面原样缩放、不裁不拉**，面板补足剩下的地方。

View the complete source on GitHub

Skills included

video-scrub
video-shots
video-sync

Repository facts

License: Apache-2.0
Created: Sep 11, 2026
Last pushed: Oct 24, 2026
Forks: 154
Open issues: 0
Project activity: Active

Rank over the last 12 weeks

Now #772 · best #657 · up 35 in 30 days

#761 on Nov 1
#764 on Nov 2
#768 from Nov 3 to Nov 4
#769 on Nov 5
#768 on Nov 6
#772 since Nov 7

49 earlier periods

#926 on Sep 6
#942 on Sep 10
#896 on Sep 11
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#704 from Sep 25 to Sep 26
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#758 from Oct 29 to Oct 30
#762 on Oct 31

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 3, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 26 notes

skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-scrub/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-shots/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/video-sync/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

3 broad permissionsin 3 files: video-scrub/SKILL.md:1 video-shots/SKILL.md:1 video-sync/SKILL.md:1
No dangerous shell commands
21 network referencesin 7 files: video-shots/README.en.md:1 video-shots/README.md:1 video-sync/README.en.md:1 and 4 more
No hidden or obfuscated text
No instruction overrides
7 executable scriptsin 7 files: video-scrub/scripts/selftest.mjs:1 video-scrub/scripts/video-scrub.mjs:1 video-shots/scripts/report.js:1 and 4 more
No access to secrets
No requests to vote in Hot

Show all 31 signals by file

`skills/video-scrub/README.en.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-a02128?style=for-the-badge)](README.en.md)

`skills/video-scrub/README.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-a02128?style=for-the-badge)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.en.md)

`skills/video-scrub/SKILL.md`

Broad permissionsline 1
```
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`skills/video-scrub/references/residue-map.md`

Network accessline 77

x264 - core 165 r3222 b35605a - H.264/MPEG-4 AVC codec - Copyleft 2003-2025 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0

Network accessline 78

http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0

`skills/video-scrub/scripts/selftest.mjs`

Executable scriptline 1
```
#!/usr/bin/env node
```

`skills/video-scrub/scripts/video-scrub.mjs`

Executable scriptline 1
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#!/usr/bin/env node
```

`skills/video-shots/README.en.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-a02128?style=for-the-badge)](README.en.md)

Network accessline 176

The way this skill is written, the visual language of the report, and the position that **quality gates must be deterministic code** are learned from [eternityspring/shuohao-skills](https://github.com/eternityspring/shuohao-skills) (Apache-

Network accessline 177

**quality gates must be deterministic code** are learned from [eternityspring/shuohao-skills](https://github.com/eternityspring/shuohao-skills) (Apache-2.0). The methodology has been internalised into this directory's own `references/` —

Network accessline 178

[eternityspring/shuohao-skills](https://github.com/eternityspring/shuohao-skills) (Apache-2.0).

`skills/video-shots/README.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-a02128?style=for-the-badge)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.en.md)

Network accessline 154

skill 的写法、报告的界面语言、「质量门全部由代码确定性检查」的主张， 学自 [eternityspring/shuohao-skills](https://github.com/eternityspring/shuohao-skills)（Apache-2.0）。

Network accessline 155

学自 [eternityspring/shuohao-skills](https://github.com/eternityspring/shuohao-skills)（Apache-2.0）。

`skills/video-shots/SKILL.md`

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```
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`skills/video-shots/scripts/report.js`

Executable scriptline 1
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Executable file
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`skills/video-shots/scripts/selftest.mjs`

Executable scriptline 1
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#!/usr/bin/env node
```

`skills/video-shots/scripts/video-shots.mjs`

Executable scriptline 1
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#!/usr/bin/env node
```

`skills/video-sync/README.en.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-a02128?style=for-the-badge)](README.en.md)

Network accessline 154

<video src="https://github.com/eternityspring/reelbench-skills/raw/main/demo-sync/demo-en-sync.mp4" controls muted playsinline width="760"></video>

`skills/video-sync/README.md`

Network accessline 1

[![中文](https://img.shields.io/badge/%E4%B8%AD%E6%96%87-a02128?style=for-the-badge)](README.md)

Network accessline 2

[![English](https://img.shields.io/badge/English-ece9e7?style=for-the-badge&labelColor=ece9e7&color=8a8785)](README.en.md)

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<video src="https://github.com/eternityspring/reelbench-skills/raw/main/demo-sync/demo-en-sync.mp4" controls muted playsinline width="760"></video>

`skills/video-sync/SKILL.md`

Broad permissionsline 1
```
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```

`skills/video-sync/scripts/selftest.mjs`

Executable scriptline 1
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#!/usr/bin/env node
```

`skills/video-sync/scripts/video-sync.mjs`

Executable scriptline 1
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#!/usr/bin/env node
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 1 fact

Broad permissions in the frontmatter of the SKILL.mdvideo-scrub/SKILL.md:23High confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md skills/video-scrub/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Explore alternatives and comparisons

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eternityspring/reelbench-skills

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skills/video-scrub/SKILL.md

skills/video-shots/SKILL.md

skills/video-sync/SKILL.md

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Individual skills in this repository

How it works

video-scrub

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

video-shots

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

video-sync

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

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Before you install

skills/video-scrub/README.en.md

skills/video-scrub/README.md

skills/video-scrub/SKILL.md

skills/video-scrub/references/residue-map.md

skills/video-scrub/scripts/selftest.mjs

skills/video-scrub/scripts/video-scrub.mjs

skills/video-shots/README.en.md

skills/video-shots/README.md

skills/video-shots/SKILL.md

skills/video-shots/scripts/report.js

skills/video-shots/scripts/selftest.mjs

skills/video-shots/scripts/video-shots.mjs

skills/video-sync/README.en.md

skills/video-sync/README.md

skills/video-sync/SKILL.md

skills/video-sync/scripts/selftest.mjs

skills/video-sync/scripts/video-sync.mjs

How the signals fit together

Works with

You might also use

haiderfarooq3/khan-explainer

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zenstory-ai/drama-skills

Explore alternatives and comparisons

Add this badge to your README

`skills/video-scrub/SKILL.md`

`skills/video-shots/SKILL.md`

`skills/video-sync/SKILL.md`

`skills/video-scrub/README.en.md`

`skills/video-scrub/README.md`

`skills/video-scrub/SKILL.md`

`skills/video-scrub/references/residue-map.md`

`skills/video-scrub/scripts/selftest.mjs`

`skills/video-scrub/scripts/video-scrub.mjs`

`skills/video-shots/README.en.md`

`skills/video-shots/README.md`

`skills/video-shots/SKILL.md`

`skills/video-shots/scripts/report.js`

`skills/video-shots/scripts/selftest.mjs`

`skills/video-shots/scripts/video-shots.mjs`

`skills/video-sync/README.en.md`

`skills/video-sync/README.md`

`skills/video-sync/SKILL.md`

`skills/video-sync/scripts/selftest.mjs`

`skills/video-sync/scripts/video-sync.mjs`