scenario-video-editing — скилл для Claude Code: монтаж видео
Скилл для обработки готовых роликов в Scenario через MCP без повторной генерации. Позволяет обрезать клипы, менять цветокоррекцию, накладывать LUT и извлекать кадры.
npx skills add scenario-labs/skills --skill scenario-video-editing -a claude-codeЧто делает scenario-video-editing
Скилл направляет задачи редактирования в детерминированные модели инструментов Scenario через MCP вместо дорогостоящей генерации с нуля. Видеоэффекты здесь работают как близнецы инструментов для изображений, получая суффикс -video. Доступны цветокоррекция, стилизация через 3D LUT, виньетирование и добавление зернистости.
У моделей разнятся имена полей. Например, обрезка принимает параметр outputFormat, а масштабирование ожидает videoOutputFormat. Видеоинструменты часто выполняются дольше стандартного окна ожидания model_run. Поэтому запуск передаётся с флагом wait=false, после чего статус проверяется через jobs_wait.
Стоимость операций зависит от длительности материала. Разумно сначала обрезать лишние кадры и лишь затем запускать цветокоррекцию. Ролики с прозрачным фоном не экспортируются в MP4: модели удаления фона отдают альфа-канал только в WebM или ProRes 4444 MOV.
Какие задачи решает
- настроить цветокоррекцию или наложить 3D LUT на готовый ролик
- нарезать видео на фрагменты по точкам split
- обрезать хронометраж до нужных временных меток
- удалить фон и сохранить клип с прозрачностью
- развернуть воспроизведение клипа задом наперёд
Примеры запросов агенту
- Обрежь клип по заданным временным границам через model_scenario-video-cut.
- Примени эффект стилизации 3D LUT к видео в Scenario.
- Сделай реверс видеоролика с помощью model_reverse-video.
Как установить scenario-video-editing
1Через Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-video-editing -a claude-code2Вручную: положить файлы
~/.claude/skills/scenario-video-editing/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/scenario-video-editing/
1Через Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-video-editing -a codex2Вручную: положить файлы
.agents/skills/scenario-video-editing/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-video-editing -a cursor2Вручную: положить файлы
.cursor/skills/scenario-video-editing/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install scenario-labs/skills scenario-video-editing2Вручную: положить файлы
.github/skills/scenario-video-editing/SKILL.md1Через Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-video-editing -a gemini-cli2Командой платформы
gemini skills install https://github.com/scenario-labs/skills --path skills/scenario-video-editingВручную: положить файлы
.devin/skills/scenario-video-editing/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-video-editing -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о scenario-video-editing
Как установить scenario-video-editing в Claude Code?
Выполните команду npx skills add scenario-labs/skills --skill scenario-video-editing -a claude-code.
Что делает скилл scenario-video-editing?
Он передаёт команды монтажа и постобработки в специализированные модели Scenario через MCP. Скилл помогает обрезать клипы, менять цвета, извлекать кадры и удалять фон без повторной генерации.
В каком формате сохраняются видео с вырезанным фоном?
Модели удаления фона в Scenario не поддерживают альфа-канал в контейнере MP4. Прозрачность отдаётся только в форматах WebM или ProRes 4444 MOV.
Исходный текст
SKILL.md · MIT
---
name: scenario-video-editing
description: "Use when editing footage that already exists on Scenario through MCP with a tool model instead of a new generation: 3D LUT grading, color correction, film grain, vignette, blur, sharpen, glow, tint, desaturate, posterize, solarize, cubism, crystallize, oilify, chromatic aberration or dodge and burn on a clip; trimming to a time range, splitting at cut points, reversing, resizing, re-encoding, frame extraction, image sequences, background removal, segmentation masks, subjects as layers."
license: MIT
---
# Scenario Video Editing
## Overview
Every image post-processing effect has a video twin, and each is a `model_run` on a tool model: one
clip in, a few numbers, one clip out. Generating or restyling footage, lipsync, dubbing and
upscaling are `scenario-video`; concatenating, compositing and captioning a cut are
`scenario-video-assembly`; the still-image side is `scenario-image-editing`. Connection and the core
loop: `scenario`. If a sibling skill named here is missing from your available skills, ask the user
to install it (`npx skills add scenario-labs/skills --skill <name>`); unattended, proceed from tool
schemas and flag the gap.
## The twin rule
A video effect's id is the image id with `-video` appended, its file field is `video` rather than
`image`, and the knobs are identical: `model_scenario-postprocessing-lut-video` takes the same
`lutStyle` enum and `lutIntensity` as `model_scenario-postprocessing-lut`. All eighteen have twins,
from blur and color correction through oilify, posterize and vignette.
One twin differs: Dissolve (Video) blends the clip with a still `dissolveImage`, not a second clip;
crossfading two clips is a concat transition.
## Quick reference
| Need | Model or query |
| --------------------- | ------------------------------------------------------------------------ |
| Grade or stylize | `filters={"tags": ["Post Processing"]}`, plus the effect name as `query` |
| Trim to a range | `model_scenario-video-cut` (`startTime`, `endTime`) |
| Cut into segments | `model_scenario-video-split` (`cutPoints`; N points give N+1 clips) |
| Rescale or re-encode | `model_scenario-resize-video` |
| Play a clip backwards | `model_reverse-video` |
| Frames out, frames in | `model_scenario-video-to-image-seq`, `model_scenario-image-seq-to-video` |
| Subjects as layers | `model_scenario-video-layers-extractor` |
| Masks, cutouts | `recommend` with the need in the user's own words |
| Pull the audio track | `model_scenario-audio-extract` |
Extracted frames carry no index and share one `createdAt`, so their order exists only in the job
row's `assetIds`, and that list has come back out of time order (a confirmed defect at authoring
time). The extractor takes a scalar `video`; every frame is `extractAllFrames: true`, and
`frameInterval` (default 24 at authoring time, about one frame a second on a 24 fps clip) applies
only when that flag is off. Check that the row holds exactly the clip's `nbFrames` ids (`asset_get`
reports it beside `frameRate`; a short row is a dropped frame, which no reordering fixes), then,
before reassembling with `model_scenario-image-seq-to-video` or handing frames on, lay the returned
ids into `model_scenario-grid-maker` in that order (a fixed first-party id: Scenario's single grid
tool; its `images` field takes an array of 1 to 100 ids and ignores a bare id while the run still
succeeds, so past 100 frames sheet in batches or raise `frameInterval`; set `columns`, default 3 and
up to 20, so a batch reads as a near-square sheet) and read the sheet against the clip's free
`firstFrame` and `lastFrame` and its motion; a frame that breaks continuity is out of place, and the
corrected order travels as your own id list from then on. Never rebuild order from listings or
timestamps, and a preview that runs backwards on a clean sheet is the assembler's `pingpong` flag,
not the order.
A cutout with transparency never ships as mp4: at authoring time the removal models carried alpha
only as WebM or ProRes 4444 MOV, so read the output-format enum off `model_schema_get` and agree the
container with the user before pricing the run.
Effect lookups go through `search`, `target="models"`, `public=true`. The `model_scenario-` ids are
constants: each is Scenario's single deterministic tool for its operation, so discovery would only
re-derive it. `model_reverse-video` sits outside that set and is an authoring-time hit: re-discover
it by name (`search` `query="video reverse"`).
## Cost follows the clip, so trim first
On the video twins the `video` input carries `cost_impact: true`, which the image versions do not:
price tracks the footage rather than the settings. Trim to the frames that ship, then grade;
`dry_run=true` prices a payload before it runs. Video tools also outlast `model_run`'s wait window,
so launch with `wait=false` and follow with `jobs_wait`, re-calling it with the returned
`pending_job_ids`. A client-side timeout on `jobs_wait` is as harmless as the server's own: re-call
it with the same ids rather than treating the job as lost.
Checking costs nothing: `asset_get` returns `firstFrame` and `lastFrame` as their own asset ids, so
`asset_display` one to confirm a grade before chaining another billable run onto it.
## Field names drift between neighbors
- Video Cut and the effect twins take a scalar `video`. Resize Video takes `video` as an
`array: true` field capped at one item, where a bare id is dropped silently; its size is `width`
and `height` in pixels, both optional, and one alone keeps the aspect ratio.
- The output format field is `outputFormat` on cut and split, `videoOutputFormat` on resize.
- `preserveAudio` defaults to true on cut, split and resize; the effects expose no audio field and
pass the track through.
- Enum values are copied, not retyped: one `lutStyle` string contains a space.
- `asset_download` takes no `format` for a video: it converts image formats only. A GIF from the
sequence tool is an image asset and takes `format: "gif"`; the `png` default flattens it to one
frame.
## Resizing is not reframing
No tool model repaints a video's canvas. Resize Video takes `fit`: `contain` (default) fits the clip
inside the target, `stretch` forces the size and distorts, `cover` fills the target and center-crops
the rest. `cover` is the cheap way to an exact ratio when losing the edges is acceptable, but none
of them gives a 16:9 clip a vertical frame with the whole picture kept, so that brief needs a
decision before any spend, between two routes an order of magnitude apart in price.
- **Generative reframe** (`query="reframe"`, Luma Ray 3.2 Reframe and Wan 2.2 Reframe,
`scenario-video` territory) outpaints past the frame and keeps the whole picture, at by far the
highest price in such a job. Resolution ceilings bite: a schema can allow a vertical ratio and its
top resolution tier separately yet reject the pair at run time.
- **Compositor** (Video Studio, cropping or pillarboxing onto a vertical canvas) is cheap but throws
away width or adds bars, and its layer geometry is `scenario-video-assembly`'s contract rather
than a one-line setting.
`dry_run` prices a payload without validating it, so either route can bill for a run that fails
outright or returns a mis-composed frame at exactly the right dimensions.
## Worked example: a graded cutdown
Launch every `model_run` below with `wait=false` and retire it with `jobs_wait` before the next step
reads its asset.
1. `asset_get` the master and read `properties.duration` before choosing times.
2. Trim: `model_scenario-video-cut` with `startTime` and `endTime` in seconds. Going first is what
makes every later step cheaper.
3. Reshape: `model_scenario-resize-video`, `video` as a one-item array, `width` and `height` at the
delivery size, `videoOutputFormat: "mp4"`. `fit` settles the shape at this step rather than
later: `cover` lands an exact ratio once the edges are spendable, and a shape that has to keep
the whole picture is the reframe decision above.
4. Grade: `model_schema_get`, then the LUT twin with `lutIntensity` near 0.6.
5. Texture: `model_schema_get`, then the Grain twin with `grainProfile` (a 22-value enum, default
`kodak_portra_400` at authoring time) on that output, last, so its grain is sized for the
delivered frame rather than resampled by a later resize.
6. `asset_display` the result's `firstFrame` to confirm the look, then `asset_download` with no
`format`.
## Common mistakes
- Grading each source clip and then concatenating: grade the finished master once, or the shots
drift apart.
- Reaching for local ffmpeg, or for an MCP tool named `video_edit`: the surface is `model_run` on
tool models.
- Polling `job_get` in a loop instead of `jobs_wait`, whose timeout is not an error.
- Trusting a Grain profile to add grain: the 22 profiles are looks, not intensities, and some soften
the picture instead. Compare a frame against the input.
© scenario-labs · MIT · scenario-labs/skills