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evolve-orchestrator

Orchestrate multi-agent workflows for batch processing and synthesis.

76|3|Updated Jan 20, 2026
Search Tags:#automation#multi-agent#pipeline#swarm#orchestrate#parallel-processing
One-click install
npx skills add https://github.com/evolving-machines-lab/evolve --skill evolve-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evolve-orchestrator
Source: https://github.com/evolving-machines-lab/evolve/tree/main/skills/evolve-orchestrator
Command: npx skills add https://github.com/evolving-machines-lab/evolve --skill evolve-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables orchestration of multi-agent workflows using the Evolve Python SDK to run parallel analyses, compare approaches, and synthesize results into a unified output.

Core Features & Use Cases

  • Parallel orchestration: spawn multiple agents to process large batches of items concurrently.
  • Quality competition: run multiple models/strategies and select the best result for each item.
  • Synthesis pipelines: chain map, filter, and reduce steps to produce a final report from diverse analyses.
  • Observability and governance: observe, log, and compare outcomes across runs with consistent tagging.

Quick Start

Create a simple parallel analysis pipeline by spawning a swarm of agents to analyze documents and reduce results into a unified report.

Frequently Asked Questions about evolve-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent workflows for parallel document processing?▼

To orchestrate multi-agent workflows for parallel document processing, you can use the Evolve Python SDK to spawn a swarm of agents, apply Map/Filter/Reduce pipelines, and synthesize results into a unified report.

Can I run multiple models and select the best result for each item?▼

Yes, you can run multiple models and select the best result for each item using the BestOf construct to execute quality-competitive multipath reasoning across your batch.

What is the best way to retry and verify multi-agent pipeline outputs?▼

The best way to retry and verify multi-agent pipeline outputs is by configuring the Verify and Retry constructs within your orchestration pipeline to ensure quality control.

Do I need external dependencies to configure a swarm pipeline?▼

No external dependencies are required to configure a swarm pipeline, as the skill runs standalone using the Evolve Python SDK with gateway and BYOK keys for access.

How do I observe and compare outcomes across parallel batch runs?▼

You can observe and compare outcomes across parallel batch runs by applying consistent tagging to log and track results across your orchestrated swarm and synthesis pipelines.

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