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video-use Skill

von browser-use★ 30.9651 Skills

Installieren

What it does

Edit videos with coding agents

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

1 Skills (Anweisungssammlungen) von browser-use, die eine KI liest und befolgt · kein MCP-Server

Was einen Skill von MCP unterscheidet

MCP verbindet eine KI mit einem externen Dienst oder Daten. Ein Skill ist eine Arbeitsanleitung, die die KI liest und befolgt; er verbindet sich mit nichts.

Funktioniert mit

Claude CodeCodex

Laut README des Anbieters und den Ordnern im Repo

Installieren

Is it safe?

  • Who made it

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

  • Use and upkeep

    ★ 30.965 stars · code last changed 9. Okt. 2026

  • 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

Befehle werden geprüft · Kopier-Buttons erscheinen, sobald sie bestanden sind

Befehle werden geprüft · Kopier-Buttons erscheinen, sobald sie bestanden sind

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 12. Nov. 2026 · Source: code.claude.com, learn.chatgpt.com, cursor.com

For Terminal users

Ein Skill sind Anweisungen, denen die KI folgt. Lies die Dateien vor der Installation und installiere nur von vertrauenswürdigen Anbietern.

Welche App nutzt du?

  1. Terminal öffnen

    Mac: Command+Leertaste und Terminal tippen · Windows: Der Befehl unten funktioniert nicht in PowerShell; nutze oben „KI installiert es“

  2. Skill-Ordner nach ~/.claude/skills kopieren

    Lädt das Repo in einen temporären Ordner und kopiert nur Ordner mit einer SKILL.md

    Befehle werden geprüft · Kopier-Buttons erscheinen, sobald sie bestanden sind

  3. Claude Code neu starten, dann /video-use tippen oder eine passende Aufgabe stellen; Claude nutzt den Skill

  1. Terminal öffnen

    Mac: Command+Leertaste und Terminal tippen · Windows: Der Befehl unten funktioniert nicht in PowerShell; nutze oben „KI installiert es“

  2. Skill-Ordner nach ~/.agents/skills kopieren

    Lädt das Repo in einen temporären Ordner und kopiert nur Ordner mit einer SKILL.md

    Befehle werden geprüft · Kopier-Buttons erscheinen, sobald sie bestanden sind

  3. Codex neu starten und eine passende Aufgabe stellen; Codex listet den Skill

  1. Terminal öffnen

    Mac: Command+Leertaste und Terminal tippen · Windows: Der Befehl unten funktioniert nicht in PowerShell; nutze oben „KI installiert es“

  2. Skill-Ordner nach ~/.cursor/skills kopieren

    Lädt das Repo in einen temporären Ordner und kopiert nur Ordner mit einer SKILL.md

    Befehle werden geprüft · Kopier-Buttons erscheinen, sobald sie bestanden sind

  3. Im Agent-Chat von Cursor / tippen und video-use wählen

Andere Apps mit Agent Skills (etwa Gemini CLI oder GitHub Copilot) nutzen andere Ordner. Sieh in deren Anleitung nach und kopiere den Ordner mit der SKILL.md dorthin.

Auf GitHub ansehen ↗

Skill-Ordner am 11. Nov. 2026 mit den offiziellen Anleitungen von Claude Code, Codex und Cursor geprüft

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

SKILL.md vor der Installation lesen

Der folgende Text stammt aus dem Repo des Anbieters, nicht von PopNx MCP

---
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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Von GitHub

GitHub-Sterne
30.965
Anbieter
browser-use
Letzte Codeänderung
9. Okt. 2026
SKILL.md-Dateien im Repo (mit Übersetzungen und Vorlagen)
2