From runway-pack
Implements RunwayML Python SDK for AI video generation, image-to-video tasks, and creative AI workflows with error handling.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runway-pack:runway-ci-integrationThis 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 ci integration — AI video generation platform.
Implementation patterns for Runway ci integration — 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 luxdevnet/claude-plus-lux --plugin runway-pack5plugins reuse this skill
First indexed Jul 10, 2026
Runway ci integration — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway ci integration", "runway-ci-integration", "AI video generation".
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.