Runway core workflow b

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/runway-pack/skills/runway-core-workflow-b

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill runway-core-workflow-b

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What its author says it does

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Runway core workflow b \u2014 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 core workflow b", "runway-core-workflow-b"\ , "AI video generation".

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SKILL.md

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Runway Core Workflow B

Overview

Image-to-video and video-to-video generation: animate still images and transform existing videos.

Prerequisites

Completed runway-core-workflow-a

Instructions

Step 1: Image-to-Video

from 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]}")

Step 2: Image-to-Video with Data URI

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,
)

Step 3: Video-to-Video (Style Transfer)

# 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]}")

Step 4: Image Specifications

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

Output

Still images animated with motion prompts
Local images encoded as data URIs
Videos restyled with text prompts
Proper image format handling

Error Handling

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

Resources

Next Steps

Error handling: runway-common-errors