orchestrate-agents

Assign specialist AI agents to subtasks in specifications or taskmaster entries.

1|Updated Sep 11, 2025
One-click install
npx skills add https://github.com/Ronnasayd/AI-pair-programming --skill orchestrate-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrate-agents
Source: https://github.com/Ronnasayd/AI-pair-programming/tree/main/skills/orchestrate-agents
Command: npx skills add https://github.com/Ronnasayd/AI-pair-programming --skill orchestrate-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex process of assigning the right AI agents to specific subtasks within a larger project, ensuring efficient and expert-driven task completion.

Core Features & Use Cases

  • Dynamic Agent Discovery: Automatically finds all available specialist agents.
  • Intelligent Mapping: Matches subtasks to the most suitable agents based on expertise and requirements.
  • Direct Integration: Updates specifications or taskmaster tasks directly, avoiding extra files.
  • Use Case: When you have a complex software feature to build, this skill can analyze the requirements and assign specific agents (e.g., a backend developer agent, a cybersecurity agent, a testing agent) to each part of the implementation.

Quick Start

Use the orchestrate-agents skill to analyze the task specification located at '/path/to/your/task_spec.md'.

Frequently Asked Questions about orchestrate-agents

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

FAQPage Schema
How do I automate AI agent assignment for complex software project tasks?

You can automate AI agent assignment by using a skill that analyzes task specifications, discovers available specialist agents, and maps subtasks to them based on domain expertise. It updates your specifications directly with agent recommendations.

How does agent orchestration map subtasks to specialist AI agents?

Agent orchestration works by analyzing task requirements from a specification or taskmaster entry, scanning the agents directory for available specialists, and matching subtasks to primary and support agents based on technical fit and domain expertise.

Can I integrate agent orchestration with taskmaster for workflow automation?

Yes, agent orchestration integrates directly with taskmaster CLI. It reads taskmaster entries, analyzes the subtasks, and assigns appropriate specialist agents by updating the tasks directly through the command-line interface.

Do I need to manually create extra files to manage dynamic agent discovery?

No, dynamic agent discovery avoids creating extra files. The orchestration process updates original content directly by adding agent recommendations to your existing specifications or assigning agents via taskmaster CLI.

What is the best way to assign a cybersecurity agent and a testing agent to specific feature requirements?

The best way is to use an agent orchestration tool that analyzes your feature requirements, discovers available specialists like cybersecurity and testing agents, and automatically maps them to the relevant implementation subtasks.

Are there limitations when mapping multiple specialist agents to a single large specification?

The mapping process relies on the available agents within your directory and the clarity of the task specification. If subtask requirements lack domain specificity, the system may struggle to accurately match primary and support agents.