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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

video-use Skill

作者:browser-use★ 30,9651 個の skill

インストール

What it does

Edit videos with coding agents

  • Connects Instruction files the AI reads; connects to nothing
  • Account or key No key needed
  • Category コーディング

browser-use による 1 個の Skill(指示セット)。AI が読んでそのとおりに作業します · MCP server ではありません

Skill と MCP の違い

MCP は AI を外部のサービスやデータにつなぎます。Skill は AI が読んで従う作業手順書で、何にも接続しません。

使えるアプリ

Claude CodeCodex

提供元の README と repo のフォルダから判断

インストール

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 は AI が従う指示です。入れる前にファイルを読み、信頼できる提供元のものだけを入れてください。

どのアプリを使っていますか?

  1. ターミナルを開く

    Mac:Command+スペースで Terminal と入力 · Windows:下のコマンドは PowerShell では動きません。上の「AI にインストールしてもらう」を使ってください

  2. skill フォルダを ~/.claude/skills にコピー

    repo を一時フォルダにダウンロードし、SKILL.md のあるフォルダだけをコピーします

    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. Claude Code を開き直し、/video-use と入力するか関連する作業を頼むと Claude が自動で使います

  1. ターミナルを開く

    Mac:Command+スペースで Terminal と入力 · Windows:下のコマンドは PowerShell では動きません。上の「AI にインストールしてもらう」を使ってください

  2. skill フォルダを ~/.agents/skills にコピー

    repo を一時フォルダにダウンロードし、SKILL.md のあるフォルダだけをコピーします

    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. Codex を開き直して関連する作業を頼むと、Codex が skill を一覧に出します

  1. ターミナルを開く

    Mac:Command+スペースで Terminal と入力 · Windows:下のコマンドは PowerShell では動きません。上の「AI にインストールしてもらう」を使ってください

  2. skill フォルダを ~/.cursor/skills にコピー

    repo を一時フォルダにダウンロードし、SKILL.md のあるフォルダだけをコピーします

    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. Cursor の Agent チャットで / を入力し video-use を選ぶ

Gemini CLI や GitHub Copilot など Agent Skills 対応の他のアプリはフォルダが違います。そのアプリのガイドを見て、SKILL.md のあるフォルダをコピーしてください。

GitHub で見る ↗

2026年11月11日 に Claude Code、Codex、Cursor の公式ガイドで skill フォルダを確認

✓ コマンド確認済み 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

✓ コマンド確認済み 2026年11月13日

インストール前に SKILL.md を読む

以下は提供元の repo の文章で、PopNx MCP の指示ではありません

---
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

話し合い

質問、コツの共有、使えないことの報告ができます。「役に立った」の多い順です。

まだ投稿はありません。最初の質問や共有をどうぞ。

ここの投稿は利用者によるもので、PopNx チームのものではありません。

Google でログインして投稿

GitHub の情報

GitHub スター
30,965
提供元
browser-use
最終コード更新
2026年10月9日
repo 内の SKILL.md(翻訳版とテンプレートを含む)
2