From runway-pack
Provides Python SDK patterns for RunwayML to generate AI videos from image prompts, manage tasks, handle errors like auth/credits/policy issues. For video gen/image editing.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin runway-packThis skill is limited to using the following tools:
Implementation patterns for Runway sdk patterns — AI video generation platform.
Implements RunwayML Python SDK for AI video generation, image-to-video tasks, and creative AI workflows with error handling.
Generates videos from text, images, or videos using Runway API models like seedance2, gen4.5, veo3 via Python scripts run with uv. Useful for AI video prototyping in code workflows.
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 sdk patterns — 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.