Runway
SkillMediaLets your agent generate videos from text or images using Runway, plus upscale them and add lip-sync.
Use Runway in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Runway and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Runway 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
Runway developer API: text-to-video, image-to-video, task polling, video upscale, lip-sync. Trigger phrases: runway, runway video, gen-4 video, runway upscale, runway lip sync.
What this skill tells your AI
The instructions your AI receives, as published by anil-matcha/awesome-muse-connectors in connectors/runway/SKILL.md and read by ahel’s review.
Purpose
Generate and edit video with Runway's developer API: Gen-4/4.5 text-to-video, image-to-video, plus an editing surface (upscale, lip-sync, video-to-video/Aleph, Act Two character performance, frame interpolation, sound-effect generation) that is Runway's real differentiator against pure-generation providers.
Tooling
All commands go through bin/runway.py:
bin/runway.py auth # verify credential setup (no spend)
bin/runway.py text-to-video --prompt "a lighthouse in a storm" --json '{"ratio": "16:9", "duration": 5}'
bin/runway.py image-to-video --prompt "camera pushes in" --image https://.../frame.png
bin/runway.py task-status --id <task_id> # poll until SUCCEEDED/FAILED
bin/runway.py upscale --video-uri https://.../clip.mp4 # upscale a video
bin/runway.py lip-sync --json '{"video": "...", "script": "..."}' # lip-sync a video
Every call sends the mandatory X-Runway-Version: 2024-11-06 header. Generations print a task id; poll task-status until SUCCEEDED or FAILED.
Auth
- Provider id:
runway(credential is collected ascustom.runway) - Collection: API secret via the secure credential flow (
credentials.request_api_access); created in the developer organization at dev.runwayml.com - Allowed hosts:
api.dev.runwayml.com - Status check:
bin/runway.py auth(must return"ok": true). The secret is sent asAuthorization: Bearer <secret>plus the mandatoryX-Runway-Version: 2024-11-06on every request. No zero-cost probe is documented, soauthverifies configuration only.
Operating Rules
- COST WARNING: the API is a separate product from the Runway web app, with separately billed credits (~$0.01/credit) and NO free API tier. Confirm with Michael before every generation and edit call.
- Poll
task-statusno more than once every 5 seconds. - Output URLs are temporary. Download promptly; never store the URL as the artifact.
- Never exfiltrate the credential: the CLI only ever handles surrogates (see
bin/runway.py). Do not print, log, or transmit the secret.
Files
- SKILL.md
- bin/runway.py
Maturity
🧪 Draft: written from Runway's public developer docs via the research dossier; not yet live-tested end-to-end. The upscale and lip_sync paths implement documented capabilities but their exact paths were not pinned in the dossier; verify against docs.dev.runwayml.com on first use.
Signals
- GitHub stars
- 1k
- Forks
- 282
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
runway- Source
- github.com/anil-matcha/awesome-muse-connectors
github.com/anil-matcha/awesome-muse-connectors