subagent-coordinator

Coordinate parallel subagents and aggregate their outputs into a single report.

64|21|Updated Mar 5, 2026

Search Tags:#automation #workflow #logging #orchestration #coordination #subagent #parallel-execution

Ready to run

npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill subagent-coordinator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: subagent-coordinator
Source: https://github.com/AlekseiUL/sprut-agent-kit/tree/main/skills/subagent-coordinator
Command: npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill subagent-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple subagents in parallel and aggregating their outputs into a single, reliable report.

Core Features & Use Cases

Parallel execution of independent sub tasks using multiple subagents.
Deterministic aggregation with progress updates and error handling.
Use cases include research, market checks, and diagnostics across multiple sources.

Quick Start

Define 2-5 subagents and start the workflow to collect and merge their results.

Frequently Asked Questions about subagent-coordinator

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

FAQPage Schema

How do I coordinate parallel subagents and aggregate their outputs into a single report?▼

To coordinate parallel subagents, you can define 2-5 independent sub tasks to run concurrently. The workflow then executes them in parallel and synthesizes their outputs into a single deterministic report.

What is parallel subagent orchestration and when should I use it for workflow automation?▼

Parallel subagent orchestration is the concurrent execution of independent tasks with progress updates and error handling. You should use it for research, market exploration, and diagnostics across multiple sources to synthesize a single report.

How do I start a parallel workflow with multiple subagents?▼

To start a parallel workflow, define 2-5 subagents for your independent tasks. Once started, the orchestration workflow manages their concurrent execution, handles errors, and collects their results.

Does parallel subagent execution handle errors and progress updates during task orchestration?▼

Yes, parallel subagent execution implements deterministic aggregation with built-in progress updates and error handling. This ensures reliable task orchestration even when running multiple concurrent workflows.

Can I use parallel subagents for concurrent research and diagnostics across multiple sources?▼

Yes, you can use parallel subagents for concurrent research, market checks, and diagnostics across multiple sources. The workflow applies deterministic aggregation to merge the independent results into one report.

Are there limits to how many subagents I can run in parallel for result aggregation?▼

The workflow is designed to define and coordinate 2-5 subagents for parallel execution. This range ensures deterministic result aggregation and reliable task orchestration without overwhelming the workflow.