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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 jeremylongshore/claude-code-plugins-plus-skills --plugin runway-packIntegrates RunwayML Python SDK for AI video generation from prompts/images. Polls tasks, handles auth/credits errors, for creative AI workflows.
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.
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.