Scenario Runway Video

SkillMedia

Lets 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.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Scenario Runway VideoStart free
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):

ModeInputsBehavior
Text (Gen4.5)promptaspectRatio honored; duration 2 to 10 seconds
First frame (Gen4.5)image + promptopens on that frame; same duration; aspectRatio ignored
Edit (Aleph 2)video + promptrewrites 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.

Signals

GitHub stars
823
Forks
95
Last commit
Oct 2026
Advanced
Item type
skill
Key
scenario-runway
Source
github.com/scenario-labs/skills