Scenario Runway Video
SkillMediaLets your agent generate videos from text or images and edit existing footage using Runway models.
Use Scenario Runway Video in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Scenario Runway Video and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Scenario Runway Video skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
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 re
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
- 823
- Forks
- 95
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
scenario-runway- Source
- github.com/scenario-labs/skills