delegate-task

Name: delegate-task
Availability: InStock
Author: winsorllc

Delegate subtasks to specialized AI agents with configurable models and tools.

1|Updated Feb 25, 2026

Search Tags:#collaboration #task management #ai agents #delegation #multi-agent #orchestration

Ready to run

npx skills add https://github.com/winsorllc/upgraded-carnival --skill delegate-task-winsorllc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: delegate-task
Source: https://github.com/winsorllc/upgraded-carnival/tree/main/.pi/skills/delegate-task
Command: npx skills add https://github.com/winsorllc/upgraded-carnival --skill delegate-task-winsorllc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables complex workflows by allowing an orchestrator agent to delegate subtasks to specialized AI agents, each with its own configuration, tools, and expertise.

Core Features & Use Cases

Multi-Agent Collaboration: Facilitates complex workflows requiring diverse AI capabilities.
Specialization: Assigns tasks to agents optimized for specific domains like research, coding, or review.
Parallel Execution: Supports running multiple delegations concurrently for efficiency.
Use Case: A project manager can use this skill to delegate research on a topic, code implementation, and subsequent code review to distinct agents, streamlining the development process.

Quick Start

Use the delegate-task skill to delegate the task 'Research AI trends' to the 'research' agent.

Frequently Asked Questions about delegate-task

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

FAQPage Schema

How do I delegate subtasks to specialized AI agents for complex workflows?▼

You can delegate subtasks to specialized AI agents by configuring an orchestrator agent to assign work based on specific domain expertise. This multi-agent collaboration enables parallel task execution and allows each agent to use specialized models, tools, and system prompts.

What is multi-agent orchestration and when do I need it for task management?▼

Multi-agent orchestration is the process of an orchestrator agent assigning subtasks to specialized AI agents. You need it for complex workflows requiring diverse AI capabilities, such as when a project manager delegates research, code implementation, and code review to distinct agents simultaneously.

Can I run multiple AI agent delegations in parallel for concurrent execution?▼

Yes, you can run multiple AI agent delegations concurrently to improve efficiency. The skill supports parallel task execution, allowing an orchestrator to assign and monitor separate subtasks to specialized agents at the same time.

How deep can I nest delegations when orchestrating multiple AI agents?▼

You can nest delegations up to five levels deep when orchestrating multiple AI agents. The system includes robust error handling for agent not found errors, timeouts, and chain depth limits to manage nested workflows safely.

How do I configure specialized AI agents with different models and tools?▼

You configure specialized AI agents by defining their specific models, tools, and system prompts before delegation. This specialization allows the orchestrator to assign tasks to agents optimized for specific domains like research, coding, or review.

What happens if an AI agent is not found or times out during task delegation?▼

If an AI agent is not found or times out during task delegation, the system triggers robust error handling mechanisms. It safely manages these failures along with chain depth exceptions to prevent workflow breakdown during nested operations.