From runway-pack
Animates images to video and restyles videos using RunwayML Python client. For AI-driven video generation from images or existing footage.
How this skill is triggered — by the user, by Claude, or both
Slash command
/runway-pack:runway-core-workflow-bThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Image-to-video and video-to-video generation: animate still images and transform existing videos.
Image-to-video and video-to-video generation: animate still images and transform existing videos.
runway-core-workflow-afrom runwayml import RunwayML
client = RunwayML()
# Animate a still image
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_image='https://your-cdn.com/landscape.jpg', # URL to source image
prompt_text='Camera slowly pans right revealing mountains, gentle wind in trees',
duration=5,
)
result = task.wait_for_task_output()
print(f"Animated video: {result.output[0]}")
import base64
# Load local image as data URI
with open('photo.jpg', 'rb') as f:
image_data = base64.b64encode(f.read()).decode()
data_uri = f"data:image/jpeg;base64,{image_data}"
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_image=data_uri,
prompt_text='Subtle motion, gentle camera push in, atmospheric lighting',
duration=5,
)
# Transform an existing video with a new style
task = client.video_to_video.create(
model='gen3a_turbo',
prompt_video='https://your-cdn.com/input-video.mp4',
prompt_text='Transform to watercolor painting style, soft colors, artistic brushstrokes',
)
result = task.wait_for_task_output()
print(f"Styled video: {result.output[0]}")
Supported formats: JPEG, PNG, WebP
Supported resolutions:
- Gen-3 Alpha Turbo: 1280x768 or 768x1280
- Input images are automatically resized
Max file size: 16MB (URL), varies for data URI
| Error | Cause | Solution |
|---|---|---|
400 Invalid image | Unsupported format | Use JPEG, PNG, or WebP |
413 Image too large | File exceeds limit | Resize to under 16MB |
| Poor animation quality | Prompt doesn't describe motion | Add camera/motion keywords |
| Style transfer too subtle | Weak prompt | Be more specific about target style |
Error handling: runway-common-errors
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin runway-packGenerates text-to-video content via RunwayML Python client: select models like gen4_turbo, engineer prompts, batch process, output in ratios like 16:9 or 9:16.
Integrates RunwayML video generation APIs into server-side code, covering text-to-video, image-to-video, and video-to-video with Node.js SDK examples and model recommendations.
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.