Claude-code-plugins-plus-skills runway-deploy-integration

install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/runway-pack/skills/runway-deploy-integration" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-runway-deploy-integration && rm -rf "$T"
manifest: plugins/saas-packs/runway-pack/skills/runway-deploy-integration/SKILL.md
source content

Runway Deploy Integration

Overview

Implementation patterns for Runway deploy integration — AI video generation platform.

Prerequisites

  • Completed
    runway-install-auth
    setup

Instructions

Step 1: SDK Pattern

from 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]}")

Output

  • Runway integration for deploy integration

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyCheck RUNWAYML_API_SECRET
402 Insufficient creditsNo creditsAdd credits at dev.runwayml.com
Task FAILEDContent policyAdjust prompt

Resources

Next Steps

See related Runway skills for more workflows.