Runway Dev Models — model skill for tools & renderers
For AI agents: find the right skill in one call —
curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the use-case page.
Add a direct Runway model endpoint to your app for image, video or audio, following the live contract.
- Type: Model · Tools & renderers
- Slug:
runway-dev-models - Status: live
- Publisher: Runway (vendor, verified)
- License: MIT
- Source: https://github.com/runwayml/skills/tree/main/skills/runway-dev-models
- Works in: Claude Code, Codex, Cursor, Gemini CLI
- Requires: Runway API key (RUNWAYML_API_SECRET), Runway SDK (Node.js or Python)
- Cost: Billed in Runway credits
- Adoption: 704 installs, 74 GitHub stars (skills.sh, 2026-10-26)
What it does
Adds or maintains a direct Runway Dev model endpoint in an application, covering image, video and audio generation and task handling. It discovers current model access and constraints, follows the exact endpoint contract and integrates through the official SDK.
Use when
- Calling one specific Runway model from code
- Handling Runway task polling and outputs
Not for
- Configurable, model-agnostic routing (use Runway Model Routers)
Install
- Claude Code:
claude plugin marketplace add runwayml/skills && claude plugin install runway-api@runway-dev - Codex:
npx skills add runwayml/skills --skill runway-dev-models -a codex - Cursor:
npx skills add runwayml/skills --skill runway-dev-models -a cursor - Gemini CLI:
npx skills add runwayml/skills --skill runway-dev-models -a gemini-cli
Example output
https://skills.varg.ai/previews/runway-dev-models.mp4 — Gen-4.5 example on the Runway Dev landing page (the text-to-video endpoint used in its SDK sample); 0-8 s (credit: Runway, https://dev.runway.com/)
More tools & renderers skills
- varg AI: The official varg skill: videos, images, speech and music through one API key, rendered in the cloud or locally.
- Media Download: Save any video by link (X, YouTube, Instagram, TikTok, 1800+ sites) or Pinterest images as references, locally, no key.
- Templates Gallery Ops: Internal runbook for the varg app Templates gallery: publish renders, preview clips, frame-0 posters, shelves.
- HyperFrames CLI: Drive the HyperFrames CLI: scaffold, check, preview, snapshot, edit the timeline, render locally or in the cloud.
- HyperFrames Registry: Pull any of ~450 ready-made blocks into a video as editable source: transitions, titles, captions, charts, 3D.
- HyperFrames Media Use: Find or make every asset a video needs: music, SFX, voiceover, images, logos, avatars, transcripts, grades.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt