delegate-agent

Spawn and manage sub-agents for parallel task execution in multi-agent workflows.

1|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/winsorllc/upgraded-carnival --skill delegate-agent-winsorllc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: delegate-agent
Source: https://github.com/winsorllc/upgraded-carnival/tree/main/.pi/skills/delegate-agent
Command: npx skills add https://github.com/winsorllc/upgraded-carnival --skill delegate-agent-winsorllc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation and management of sub-agents, allowing complex tasks to be broken down and executed concurrently or in parallel, significantly speeding up workflows.

Core Features & Use Cases

  • Parallel Execution: Run multiple independent sub-tasks simultaneously.
  • Specialized Handling: Assign different sub-tasks to agents with specific models or expertise.
  • Isolation: Ensures that failures in sub-tasks do not impact the main agent's operation.
  • Use Case: Researching multiple topics concurrently by spawning a dedicated agent for each topic and then aggregating the results.

Quick Start

Use the delegate-agent skill to spawn a new agent named 'research-agent' to find information about 'AI agents' using the 'claude-sonnet-4-20250514' model.

Frequently Asked Questions about delegate-agent

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

FAQPage Schema
How do I run multiple independent tasks in parallel using AI agents?▼

You can spawn and manage sub-agents for parallel task execution to break down complex problems into independent subtasks, assign them to specialized agents, and aggregate the results concurrently to speed up workflows.

Can I assign different models to specific sub-tasks in a multi-agent workflow?▼

Yes, multi-agent workflows support specialized handling by assigning different sub-tasks to agents with specific models or expertise, allowing you to use specialized models for targeted research or processing.

What is the best way to isolate failures in sub-tasks during workflow automation?▼

Spawning sub-agents for parallel and sequential task execution provides task isolation, ensuring that failures in individual sub-tasks do not impact the main agent's operation or halt the overall workflow.

Does parallel research with sub-agents work with GitHub Actions integration?▼

Yes, you can achieve task isolation and execute parallel research through GitHub Actions integration, spawning a dedicated agent for each topic and then aggregating the results back into your main workflow.

How do I aggregate results from concurrent research agents?▼

After spawning a dedicated sub-agent for each research topic to run concurrently, you aggregate the results by collecting the outputs from each specialized agent once their parallel or sequential tasks complete.

When should I break down complex problems into independent subtasks for agents?▼

You should break down complex problems into independent subtasks when you need to execute concurrent research or specialized processing, significantly speeding up multi-agent workflows by running sub-tasks simultaneously.