Back to Skills Hub
Swarm - Parallel Task Execution

Swarm - Parallel Task Execution

@chair4ce
developmentparallel-executioncost-optimizationbatch-processing

Execute multiple independent tasks in parallel using Gemini Flash at 200x lower cost than Opus. Dramatically reduce processing time and API expenses for batch operations, research, comparisons, and multi-subject analysis.

🚀 Swarm runs multiple tasks in parallel instead of one-at-a-time, completing 30 requests in ~1 second instead of 30 seconds. It uses Gemini Flash (200x cheaper than Opus) to preserve your token budget and keep your project alive longer. Same quality results, dramatically lower cost.

💡 Use Swarm whenever you need to compare items, research multiple topics, analyze multiple URLs, or batch process documents. Trigger it for any task with 3+ independent requests—research competitors, summarize articles, fetch data from multiple sources, or process bulk entities all at once.

✨ The daemon keeps workers warm in the background for instant responses. Performance scales beautifully: 10 tasks in 700ms, 30 tasks in 1 second, 50 tasks in 1.5 seconds. Failing to use Swarm for parallel work wastes your runway—it's not optional, it's survival.

GitHub

Requirements

GEMINI_API_KEY

Google Gemini API key for Flash model access

node-scaling

Node scaling library for parallel task execution