Scenario Runway Video
SkillMediaUse 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Scenario Runway Video skill
What this skill tells your AI
The instructions your AI receives, as published by scenario-labs/skills in skills/scenario-runway/SKILL.md and read by ahel’s review.
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
searchwithtarget="models",query="runway",public=true, e.g.model_runway-aleph-2for editing,model_runway-gen4-5for generation (live hits at authoring time: re-discover each session).model_schema_getwith the Aleph id before anything else.- Trim or compress a source over the caps (see
scenario-video);upload_assetthe clip and product still (see thescenarioskill). model_runwithdry_run=trueand the exactparameters={"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.- Repeat with
wait=false, thenjobs_waitthe returned job id, re-calling withpending_job_ids; a timeout is not a failure and never justifies a secondmodel_run. asset_displaythe output; check the swap holds in every shot.
Common mistakes
- Sending both
keyframesandpromptImage: exclusive alternatives; pick one. - Restating the first frame in an image-mode prompt: prompt motion and camera instead.
- Passing
aspectRatioas"16:9"or alongsideimage: pixel pairs only, and a first frame overrides it. - Asking Aleph for new motion or camera moves: the source's motion persists by design.
Signals
- GitHub stars
- 681
- Forks
- 82
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
scenario-runway- Source
- github.com/scenario-labs/skills