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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

video-use Skill

作者:browser-use★ 30,9651 个 skill

安装

What it does

Edit videos with coding agents

  • Connects Instruction files the AI reads; connects to nothing
  • Account or key No key needed
  • Category 写代码

browser-use 提供的 1 个 Skill(指令集),AI 读取后照做 · 不是 MCP server

Skill 和 MCP 有什么不同

MCP 把 AI 连接到外部服务或数据;Skill 是 AI 读取并照做的工作指南,不连接任何服务。

适用的应用

Claude CodeCodex

依据开发者 README 和 repo 中的文件夹

安装

Is it safe?

  • Who made it

    GitHub account browser-use (organization), 1 years old

  • Use and upkeep

    ★ 30,965 stars · code last changed 2026年10月9日

  • Any scripts?

    10 scripts that can run on a computer: skills/manim-video/scripts/setup.sh, helpers/grade.py, helpers/pack_transcripts.py, helpers/render.py and 6 more

  • Uses the internet?

    Scripts that go online: helpers/transcribe.py

  • Changes machine-wide settings?

    No hooks or writes to machine settings found

Checked automatically from the repo files at commit 43cfc56 (read only, nothing was run). Not a safety guarantee: read it and decide for yourself

Option 1Let the AI install it

Works in Claude Code, Codex and Cursor · Copy this sentence into the app’s chat

Where to install
Please install the skill video-use from https://github.com/browser-use/video-use (commit 43cfc56) for all my projects, at ~/.claude/skills/video-use (in Codex use ~/.agents/skills/video-use, in Cursor ~/.cursor/skills/video-use). First show me every file and tell me whether it has scripts or changes machine settings, then tell me the full path you will install to and wait for me to agree.
Please install the skill video-use from https://github.com/browser-use/video-use (commit 43cfc56) into the project this chat is open in (at .claude/skills/video-use; in Codex use .agents/skills/video-use, in Cursor .cursor/skills/video-use). First show me every file and tell me whether it has scripts or changes machine settings, then tell me the project name and the full path you will install to and wait for me to agree.

For one project, paste it into a chat that is open in that project’s folder · The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

Checked against official docs 2026年11月12日 · Source: code.claude.com, learn.chatgpt.com, cursor.com

For Terminal users

Skill 是 AI 会照做的指令。安装前先阅读文件,只安装可信开发者的 Skill。

你用哪个应用?

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.claude/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    git clone --depth 1 https://github.com/browser-use/video-use.git /tmp/popnx-skill-browser-use-video-use-43cfc56 && mkdir -p ~/.claude/skills && cp -R '/tmp/popnx-skill-browser-use-video-use-43cfc56/.' ~/.claude/skills/video-use
  3. 重新打开 Claude Code,输入 /video-use,或直接提出相关任务,Claude 会自动选用

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.agents/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    git clone --depth 1 https://github.com/browser-use/video-use.git /tmp/popnx-skill-browser-use-video-use-43cfc56 && mkdir -p ~/.agents/skills && cp -R '/tmp/popnx-skill-browser-use-video-use-43cfc56/.' ~/.agents/skills/video-use
  3. 重新打开 Codex 并提出相关任务,Codex 会列出这个 skill

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.cursor/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    git clone --depth 1 https://github.com/browser-use/video-use.git /tmp/popnx-skill-browser-use-video-use-43cfc56 && mkdir -p ~/.cursor/skills && cp -R '/tmp/popnx-skill-browser-use-video-use-43cfc56/.' ~/.cursor/skills/video-use
  3. 在 Cursor 的 Agent 聊天中输入 / 并选择 video-use

其他支持 Agent Skills 的应用(如 Gemini CLI、GitHub Copilot)使用不同文件夹,请查看该应用的指南,再把含 SKILL.md 的文件夹复制过去。

在 GitHub 上查看 ↗

已于 2026年11月11日 对照 Claude Code、Codex 和 Cursor 官方指南核实 skill 文件夹

✓ 命令已检查 2026年11月13日

Option 2Upload to claude.ai (web and app)

Uploading to claude.ai would fail: the description is over 200 characters (325). Use "Let the AI install it" instead

✓ 命令已检查 2026年11月13日

安装前先读 SKILL.md

以下文字来自开发者的 repo,不是 PopNx MCP 的指令

---
name: video-use
description: Edit any video by conversation. Transcribe, cut, color grade, generate overlay animations, burn subtitles — for talking heads, montages, tutorials, travel, interviews. No presets, no menus. Ask questions, confirm the plan, execute, iterate, persist. Production-correctness rules are hard; everything else is artistic freedom.
---

# Video Use

## Principle

1. **LLM reasons from raw transcript + on-demand visuals.** The only derived artifact that earns its keep is a packed phrase-level transcript (`takes_packed.md`). Everything else — filler tagging, retake detection, shot classification, emphasis scoring — you derive at decision time.
2. **Audio is primary, visuals follow.** Cut candidates come from speech boundaries and silence gaps. Drill into visuals only at decision points.
3. **Ask → confirm → execute → iterate → persist.** Never touch the cut until the user has confirmed the strategy in plain English.
4. **Generalize.** Do not assume what kind of video this is. Look at the material, ask the user, then edit.
5. **Artistic freedom is the default.** Every specific value, preset, font, color, duration, pitch structure, and technique in this document is a *worked example* from one proven video — not a mandate. Read them to understand what's possible and why each worked. Then make your own taste calls based on what the material actually is and what the user actually wants. **The only things you MUST do are in the Hard Rules section below.** Everything else is yours.
6. **Invent freely.** If the material calls for a technique not described here — split-screen, picture-in-picture, lower-third identity cards, reaction cuts, speed ramps, freeze frames, crossfades, match cuts, L-cuts, J-cuts, speed ramps over breath, whatever — build it. The helpers are ffmpeg and PIL. They can do anything the format supports. Do not wait for permission.
7. **Verify your own output before showing it to the user.** If you wouldn't ship it, don't present it.

## Hard Rules (production correctness — non-negotiable)

These are the things where deviation produces silent failures or broken output. They are not taste, they are correctness. Memorize them.

1. **Subtitles are applied LAST in the filter chain**, after every overlay. Otherwise overlays hide captions. Silent failure.
2. **Per-segment extract → lossless `-c copy` concat**, not single-pass filtergraph. Otherwise you double-encode every segment when overlays are added.
3. **30ms audio fades at every segment boundary** (`afade=t=in:st=0:d=0.03,afade=t=out:st={dur-0.03}:d=0.03`). Otherwise audible pops at every cut.
4. **Overlays use `setpts=PTS-STARTPTS+T/TB`** to shift the overlay's frame 0 to its window start. Otherwise you see the middle of the animation during the overlay window.
5. **Master SRT uses output-timeline offsets**: `output_time = word.start - segment_start + segment_offset`. Otherwise captions misalign after segment concat.
6. **Never cut inside a word.** Snap every cut edge to a word boundary from the Scribe transcript.
7. **Pad every cut edge.** Working window: 30–200ms. Scribe timestamps drift 50–100ms — padding absorbs the drift. Tighter for fast-paced, looser for cinematic.
8. **Word-level verbatim ASR only.** Never SRT/phrase mode (loses sub-second gap data). Never normalized fillers (loses editorial signal).
9. **Cache transcripts per source.** Never re-transcribe unless the source file itself changed.
10. **Parallel sub-agents for multiple animations.** Never sequential. Spawn N at once via the `Agent` tool; total wall time ≈ slowest one.
11. **Strategy confirmation before execution.** Never touch the cut until the user has approved the plain-English plan.
12. **All session outputs in `<videos_dir>/edit/`.** Never write inside the `video-use/` project directory.

Everything else in this document is a worked example. Deviate whenever the material calls for it.

## Directory layout

The skill lives in `video-use/`. User footage lives wherever they put it. All session outputs go into `<videos_dir>/edit/`.

```
<videos_dir>/
├── <source files, untouched>
└── edit/
    ├── project.md               ← memory; appended every session
    ├── takes_packed.md          ← phrase-level transcripts, the LLM's primary reading view
    ├── edl.json                 ← cut decisions
    ├── transcripts/<name>.json  ← cached raw Scribe JSON
    ├── animations/slot_<id>/    ← per-animation source + render + reasoning
    ├── clips_graded/            ← per-segment extracts with grade + fades
    ├── master.srt               ← output-timeline subtitles
    ├── downloads/               ← yt-dlp outputs
    ├── verify/                  ← debug frames / timeline PNGs
    ├── preview.mp4
    └── final.mp4
```

## Setup

First-time install lives in `install.md` (clone, deps, ffmpeg, skill registration, API key). Don't re-run it every session; on cold start just verify:

- `ELEVENLABS_API_KEY` resolves — either in the environment or in `.env` at the video-use repo root. If missing, ask the user to paste one and write it to `.env` (never to the user's `<videos_dir>`).
- `ffmpeg` + `ffprobe` on PATH.
- Python deps installed (`uv sync` or `pip install -e .` inside the repo).
- Node.js + npm available if the session needs HyperFrames or Remotion slots. HyperFrames currently requires Node.js 22+.
- `yt-dlp`, HyperFrames, Remotion, Manim installed only on first use.
- First-use animation setup happens inside the slot directory, never at the video-use repo root. HyperFrames can be invoked with `npx --yes hyperframes ...`; Remotion can be scaffolded with `npx create-video@latest` or installed as a project-local dependency before using its `remotion render` command.
- This skill vendors `skills/manim-video/`. Read its SKILL.md when building a Manim slot.

Helpers (`helpers/transcribe.py`, `helpers/render.py`, etc.) live alongside this SKILL.md. Resolve their paths relative to the directory containing this file — the skill is typically symlinked at `~/.claude/skills/video-use/` or `~/.codex/skills/video-use/`.

## Helpers

- **`transcribe.py <video>`** — single-file Scribe call. `--num-speakers N` optional. Cached.
- **`transcribe_batch.py <videos_dir>`** — 4-worker parallel transcription. Use for multi-take.
- **`pack_transcripts.py --edit-dir <dir>`** — `transcripts/*.json` → `takes_packed.md` (phrase-level, break on silence ≥ 0.5s).
- **`timeline_view.py <video> <start> <end>`** — filmstrip + waveform PNG. On-demand visual drill-down. **Not a scan tool** — use it at decision points, not constantly.
- **`render.py <edl.json> -o <out>`** — per-segment extract → concat → overlays (PTS-shifted) → subtitles LAST. `--preview` for 720p fast. `--build-subtitles` to generate master.srt inline.
- **`grade.py <in> -o <out>`** — ffmpeg filter chain grade. Presets + `--filter '<raw>'` for custom.

For animations, create `<edit>/animations/slot_<id>/` with `Bash` and spawn a sub-agent via the `Agent` tool.

## The process

1. **Inventory.** `ffprobe` every source. `transcribe_batch.py` on the directory. `pack_transcripts.py` to produce `takes_packed.md`. Sample one or two `timeline_view`s for a visual first impression.
2. **Pre-scan for problems.** One pass over `takes_packed.md` to note verbal slips, obvious mis-speaks, or phrasings to avoid. Plain list, feed into the editor brief.
3. **Converse.** Describe what you see in plain English. Ask questions *shaped by the material*. Collect: content type, target length/aspect, aesthetic/brand direction, pacing feel, must-preserve moments, must-cut moments, animation and grade preferences, subtitle needs. Do not use a fixed checklist — the right questions are different every time.
4. **Propose strategy.** 4–8 sentences: shape, take choices, cut direction, animation plan, grade direction, subtitle style, length estimate. **Wait for confirmation.**
5. **Execute.** Produce `edl.json` via the editor sub-agent brief. Drill into `timeline_view` at ambiguous moments. Build ani

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来自 GitHub

GitHub 星标
30,965
开发者
browser-use
最近代码更新
2026年10月9日
repo 中的 SKILL.md 文件(含译本和模板)
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