Individual skill
runway-hello-world
Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Use when proving the first billable generation path. Trigger with: "Runway hello world", "first Runway video", "smoke test Runway generation".
plugins/saas-packs/runway-pack/skills/runway-hello-world/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Matches the observed repository HEAD
- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- runway Declared skill tag
- video-generation Declared skill tag
- smoke-test Declared skill tag
- tasks Declared skill tag
- testing Derived category
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SKILL.mdcore · 5,341 bytesSKILL.mdcore · 5,341 bytesSKILL.mdcore · 5,341 bytesreferences/official-docs.mddoc · 3,808 bytes
Read excerpt
# One Controlled Runway Generation
## Overview
Prove the minimum asynchronous generation path without pretending that task creation is completion. A Runway generation consumes credits and may be moderated, so the smoke test requires an explicit cost ceiling, safe prompt, terminal-state evidence, and owned output storage.
## Prerequisites
- Server-side Runway authentication and available organization credits
- An operator-approved model, prompt, duration, ratio, and maximum credit budget
- Durable task storage and an output bucket with retention controls
## Instructions
