Claude-code-plugins runway-performance-tuning

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 "$T/plugins/saas-packs/runway-pack/skills/runway-performance-tuning" ~/.claude/skills/jeremylongshore-claude-code-plugins-runway-performance-tuning && rm -rf "$T"

manifest: plugins/saas-packs/runway-pack/skills/runway-performance-tuning/SKILL.md

Runway Performance Tuning

Overview

Implementation patterns for Runway performance tuning — 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 performance tuning

Error Handling

Error	Cause	Solution
401 Unauthorized	Invalid API key	Check RUNWAYML_API_SECRET
402 Insufficient credits	No credits	Add credits at dev.runwayml.com
Task FAILED	Content policy	Adjust prompt

Resources

Next Steps

See related Runway skills for more workflows.