Claude Skill

scenario-runway

Use when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap pro

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Part of scenario-labs/skills — 97 skills

Install

skills CLI npx skills add https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install scenario-labs-skills@llmmart
Git git clone https://github.com/scenario-labs/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole scenario-labs/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Scenario Runway Video

Overview

Runway's family on Scenario splits by direction: Gen4.5 generates new clips from text or a first-frame image; Aleph 2 rewrites existing footage, changing what the prompt names while motion, audio, and structure carry over. Discover both with search; model_schema_get is the contract.

Connection and the core loop: the scenario skill; model-agnostic video work: the scenario-video skill. 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.

Quick reference

Mode follows from the inputs (names and caps from the live schema):

Mode Inputs Behavior
Text (Gen4.5) prompt aspectRatio honored; duration 2 to 10 seconds
First frame (Gen4.5) image + prompt opens on that frame; same duration; aspectRatio ignored
Edit (Aleph 2) video + prompt rewrites visuals; motion, audio, structure persist

At authoring time Aleph capped sources at 30 seconds and 16 MB, separate limits: high-bitrate clips hit the size cap first. Its median cost ran six times Gen4.5's, a fifteen-fold spread following the source video: dry_run the exact payload first. Median latency neared six minutes, so jobs_wait will time out mid-job; re-call it with pending_job_ids.

Gen4.5 prompts follow the mode

Text mode needs both the visuals and the motion described. A first frame fixes subject, composition, and palette: spend the whole prompt on motion, camera, and atmosphere. Order beats explicitly ("kneels, then rises, camera cranes up") and give multi-beat prompts 8 to 10 seconds of duration. Name camera moves plainly (locked camera, pan, dolly, tracking, orbit, crane), one or two per clip, in present-tense prose.

aspectRatio takes pixel pairs ("1280:720", "960:960"), and text mode honored only the 16:9 and 9:16 pairs at authoring time; get other shapes (1:1, 4:3, 3:4, 21:9) from a first frame with that geometry instead.

Aleph changes what you name

An Aleph prompt states the edit: remove, swap, restyle, relight. Everything unnamed persists, along with motion and audio: Aleph cannot re-choreograph or add camera moves; when motion must change, generate with Gen4.5. To steer the edit, pin up to 5 reference images: keyframes places each image (uri) by seconds or at (a 0 to 1 fraction); promptImage by positionType plus timestampSeconds or positionPercentage. The arrays are alternatives, never combined.

Worked example: swap a product in real footage

  1. search with target="models", query="runway", public=true, e.g. model_runway-aleph-2 for editing, model_runway-gen4-5 for generation (live hits at authoring time: re-discover each session).
  2. model_schema_get with the Aleph id before anything else.
  3. Trim or compress a source over the caps (see scenario-video); upload_asset the clip and product still (see the scenario skill).
  4. model_run with dry_run=true and the exact parameters={"prompt": "Replace the soda can with the bottle from the reference image. Keep everything else unchanged.", "video": "asset_clip", "keyframes": [{"uri": "asset_bottle", "at": 0}]}; re-estimate after any trim.
  5. Repeat with wait=false, then jobs_wait the returned job id, re-calling with pending_job_ids; a timeout is not a failure and never justifies a second model_run.
  6. asset_display the output; check the swap holds in every shot.

Common mistakes

  • Sending both keyframes and promptImage: exclusive alternatives; pick one.
  • Restating the first frame in an image-mode prompt: prompt motion and camera instead.
  • Passing aspectRatio as "16:9" or alongside image: pixel pairs only, and a first frame overrides it.
  • Asking Aleph for new motion or camera moves: the source's motion persists by design.
Files (skills)
  • SKILL.md 4.6 KB
    ---
    name: scenario-runway
    description: "Use when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved). Keywords: Runway ML, Gen4.5, Gen-4.5, Aleph, T2V, I2V, V2V, first frame."
    license: MIT
    ---
    
    # Scenario Runway Video
    
    ## Overview
    
    Runway's family on Scenario splits by direction: Gen4.5 generates new clips from text or a first-frame image; Aleph 2 rewrites existing footage, changing what the prompt names while motion, audio, and structure carry over. Discover both with `search`; `model_schema_get` is the contract.
    
    Connection and the core loop: the `scenario` skill; model-agnostic video work: the `scenario-video` skill. 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.
    
    ## Quick reference
    
    Mode follows from the inputs (names and caps from the live schema):
    
    | Mode                 | Inputs             | Behavior                                                    |
    | -------------------- | ------------------ | ----------------------------------------------------------- |
    | Text (Gen4.5)        | `prompt`           | `aspectRatio` honored; `duration` 2 to 10 seconds           |
    | First frame (Gen4.5) | `image` + `prompt` | opens on that frame; same `duration`; `aspectRatio` ignored |
    | Edit (Aleph 2)       | `video` + `prompt` | rewrites visuals; motion, audio, structure persist          |
    
    At authoring time Aleph capped sources at 30 seconds and 16 MB, separate limits: high-bitrate clips hit the size cap first. Its median cost ran six times Gen4.5's, a fifteen-fold spread following the source video: `dry_run` the exact payload first. Median latency neared six minutes, so `jobs_wait` will time out mid-job; re-call it with `pending_job_ids`.
    
    ## Gen4.5 prompts follow the mode
    
    Text mode needs both the visuals and the motion described. A first frame fixes subject, composition, and palette: spend the whole prompt on motion, camera, and atmosphere. Order beats explicitly ("kneels, then rises, camera cranes up") and give multi-beat prompts 8 to 10 seconds of `duration`. Name camera moves plainly (locked camera, pan, dolly, tracking, orbit, crane), one or two per clip, in present-tense prose.
    
    `aspectRatio` takes pixel pairs (`"1280:720"`, `"960:960"`), and text mode honored only the 16:9 and 9:16 pairs at authoring time; get other shapes (1:1, 4:3, 3:4, 21:9) from a first frame with that geometry instead.
    
    ## Aleph changes what you name
    
    An Aleph prompt states the edit: remove, swap, restyle, relight. Everything unnamed persists, along with motion and audio: Aleph cannot re-choreograph or add camera moves; when motion must change, generate with Gen4.5. To steer the edit, pin up to 5 reference images: `keyframes` places each image (`uri`) by `seconds` or `at` (a 0 to 1 fraction); `promptImage` by `positionType` plus `timestampSeconds` or `positionPercentage`. The arrays are alternatives, never combined.
    
    ## Worked example: swap a product in real footage
    
    1. `search` with `target="models"`, `query="runway"`, `public=true`, e.g. `model_runway-aleph-2` for editing, `model_runway-gen4-5` for generation (live hits at authoring time: re-discover each session).
    2. `model_schema_get` with the Aleph id before anything else.
    3. Trim or compress a source over the caps (see `scenario-video`); `upload_asset` the clip and product still (see the `scenario` skill).
    4. `model_run` with `dry_run=true` and the exact `parameters={"prompt": "Replace the soda can with the bottle from the reference image. Keep everything else unchanged.", "video": "asset_clip", "keyframes": [{"uri": "asset_bottle", "at": 0}]}`; re-estimate after any trim.
    5. Repeat with `wait=false`, then `jobs_wait` the returned job id, re-calling with `pending_job_ids`; a timeout is not a failure and never justifies a second `model_run`.
    6. `asset_display` the output; check the swap holds in every shot.
    
    ## Common mistakes
    
    - Sending both `keyframes` and `promptImage`: exclusive alternatives; pick one.
    - Restating the first frame in an image-mode prompt: prompt motion and camera instead.
    - Passing `aspectRatio` as `"16:9"` or alongside `image`: pixel pairs only, and a first frame overrides it.
    - Asking Aleph for new motion or camera moves: the source's motion persists by design.
    

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