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 fleet-to-force/claude-code-plugins-plus --plugin runway-pack5plugins reuse this skill
First indexed Jul 10, 2026
Integrates with Runway API for AI video generation, image editing, and creative workflows. Activated by phrases like 'runway ci integration' or '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.