From runway-pack
Provides Python SDK patterns for RunwayML video/image generation, handling rate limits, auth/credits errors, and task outputs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runway-pack:runway-rate-limitsThis 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 rate limits — AI video generation platform.
Implementation patterns for Runway rate limits — 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 fleet-to-force/claude-code-plugins-plus --plugin runway-pack5plugins reuse this skill
First indexed Jul 10, 2026
Provides Runway API rate limit handling and integration patterns for AI video generation and image editing tasks.
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.