From runway-pack
Handles common RunwayML API errors like 401 unauthorized, 402 insufficient credits, and content policy violations. Provides Python SDK patterns for AI video generation tasks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runway-pack:runway-common-errorsThis 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 common errors — AI video generation platform.
Implementation patterns for Runway common errors — 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
Debugging patterns for Runway AI video generation errors. Helps resolve API auth failures, missing credits, and content policy rejections.
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.