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From runway-pack
Provides Python SDK patterns for RunwayML performance tuning in AI video generation, including image-to-video tasks and error handling. Use for optimizing Runway creative workflows.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runway-pack:runway-performance-tuningThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Implementation patterns for Runway performance tuning — AI video generation platform.
Implementation patterns for Runway performance tuning — 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.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin runway-packImplements 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.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.