From runway-pack
Provides RunwayML reference architecture for AI video generation using Python SDK. Useful for image-to-video tasks, image editing, and creative AI integrations.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin runway-packThis skill is limited to using the following tools:
Implementation patterns for Runway reference architecture — AI video generation platform.
Implements RunwayML Python SDK for AI video generation, image-to-video tasks, and creative AI workflows with error handling.
Integrates RunwayML video generation APIs into server-side code, covering text-to-video, image-to-video, and video-to-video with Node.js SDK examples and model recommendations.
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
Share bugs, ideas, or general feedback.
Implementation patterns for Runway reference architecture — AI video generation platform.
runway-install-auth setupfrom runwayml import RunwayML
client = RunwayML()
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_text='A serene lake at dawn, mist rising, birds flying',
duration=5,
)
result = task.wait_for_task_output()
if result.status == 'SUCCEEDED':
print(f"Video: {result.output[0]}")
| Error | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Invalid API key | Check RUNWAYML_API_SECRET |
| 402 Insufficient credits | No credits | Add credits at dev.runwayml.com |
| Task FAILED | Content policy | Adjust prompt |
See related Runway skills for more workflows.