About

Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/runway-hello-world/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world. Copyright stays with the author (MIT).

Runway Hello World

Name: runway-hello-world
Author: jeremylongshore

Overview

Generate your first AI video from a text prompt using Runway's Gen-3 Alpha model.

Prerequisites

Completed runway-install-auth
API credits available in your Runway account

Instructions

Step 1: Text-to-Video Generation

from 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}")

Step 2: Poll for Completion

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}")

Step 3: Download the Video

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")

Step 4: Using the Built-in Wait Helper

# 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]}")

Output

Video generation task created
Task polled until completion
Generated video URL retrieved
Video downloaded to local file

Error Handling

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"

Resources

Next Steps

Advanced text-to-video: runway-core-workflow-a

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-runway-hello-world/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-runway-hello-world.ocm.jsonjson

{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-runway-hello-world",
  "kind": "skill",
  "name": "runway-hello-world",
  "description": "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\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general_chat",
      "creative"
    ],
    "tags": [
      "skill-md",
      "saas",
      "runway",
      "ai",
      "video-generation",
      "creative",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/runway-hello-world/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/runway-hello-world/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/runway-hello-world/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(pip:*),",
      "Bash(npm:*),",
      "Bash(curl:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Runway Hello World\n\n## Overview\n\nGenerate your first AI video from a text prompt using Runway's Gen-3 Alpha model.\n\n## Prerequisites\n\n- Completed `runway-install-auth`\n- API credits available in your Runway account\n\n## Instructions\n\n### Step 1: Text-to-Video Generation\n\n```python\nfrom runwayml import RunwayML\n\nclient = RunwayML()\n\n# Create a text-to-video generation task\ntask = client.image_to_video.create(\n    model='gen3a_turbo',\n    prompt_text='A golden retriever running through a field of sunflowers, cinematic lighting, slow motion',\n    duration=5,  # 5 or 10 seconds\n    ratio='16:9', ",
  "cost": {
    "context_tokens": 653
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-runway-hello-world/manifest?version=1.0.0

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