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scenario-video-editing

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.

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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

NeedModel or query
Grade or stylizefilters={"tags": ["Post Processing"]}, plus the effect name as query
Trim to a rangemodel_scenario-video-cut (startTime, endTime)
Cut into segmentsmodel_scenario-video-split (cutPoints; N points give N+1 clips)
Rescale or re-encodemodel_scenario-resize-video
Play a clip backwardsmodel_reverse-video
Frames out, frames inmodel_scenario-video-to-image-seq, model_scenario-image-seq-to-video
Subjects as layersmodel_scenario-video-layers-extractor
Masks, cutoutsrecommend with the need in the user's own words
Pull the audio trackmodel_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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9892026年10月12日 更新

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scenario-labs/skills9892026年10月12日 更新

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scenario-labs/skills9892026年10月12日 更新

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scenario-labs/skills9892026年10月12日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9892026年10月12日 更新

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