From runway-pack
Runway hello world — 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 hello world", "runway-hello-world", "AI video generation".
npx claudepluginhub flight505/skill-forge --plugin runway-packThis skill is limited to using the following tools:
Generate your first AI video from a text prompt using Runway's Gen-3 Alpha model.
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Share bugs, ideas, or general feedback.
Generate your first AI video from a text prompt using Runway's Gen-3 Alpha model.
runway-install-authfrom runwayml import RunwayML
client = RunwayML()
# Create a text-to-video generation task
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_text='A golden retriever running through a field of sunflowers, cinematic lighting, slow motion',
duration=5, # 5 or 10 seconds
ratio='16:9', # 16:9 or 9:16
)
print(f"Task created: {task.id}")
import time
# The SDK has a built-in helper for polling
task_result = client.tasks.retrieve(task.id)
# Or poll manually
while task_result.status not in ('SUCCEEDED', 'FAILED'):
time.sleep(5)
task_result = client.tasks.retrieve(task.id)
print(f" Status: {task_result.status}")
if task_result.status == 'SUCCEEDED':
print(f"Video URL: {task_result.output[0]}")
else:
print(f"Failed: {task_result.failure}")
import urllib.request
if task_result.status == 'SUCCEEDED':
video_url = task_result.output[0]
urllib.request.urlretrieve(video_url, 'output.mp4')
print("Video saved to output.mp4")
# Simpler approach — SDK polls automatically
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_text='Ocean waves crashing on rocky cliffs at sunset, aerial view',
duration=5,
)
# Wait for completion (default timeout: 10 minutes)
result = task.wait_for_task_output()
print(f"Video: {result.output[0]}")
| Error | Cause | Solution |
|---|---|---|
Task FAILED | Content policy violation | Adjust prompt to comply with content policy |
402 Insufficient credits | No API credits | Add credits at dev.runwayml.com |
| Timeout | Generation taking too long | Increase timeout or use shorter duration |
| Low quality output | Prompt too vague | Add style keywords: "cinematic", "4K", "professional" |
Advanced text-to-video: runway-core-workflow-a