orchestrator

Plan subtasks, dispatch specialist agents, and synthesize unified results.

7|1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/pranav8494/team-of-agents --skill orchestrator-pranav8494
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/pranav8494/team-of-agents/tree/main/skills/orchestrator
Command: npx skills add https://github.com/pranav8494/team-of-agents --skill orchestrator-pranav8494

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps when you don’t know which specialist to use or when your task spans multiple roles, by planning the work, delegating to the right experts, and merging their outputs into one coherent result.

Core Features & Use Cases

  • Multi-role orchestration: Decomposes a request into subtasks across product, engineering, GTM, data, QA, and content.
  • Parallel + sequential execution: Runs independent tasks in parallel and chains dependent tasks via a shared findings scratchpad.
  • Safety and control gates: Shows a work plan first and requests confirmation before dispatching actions that write files, run commands, or access external resources.

Quick Start

Use the orchestrator when your request spans multiple domains by asking a single detailed question like: "Investigate why our checkout conversion is dropping and propose a prioritized fix plan for product, UX, and the frontend."

Frequently Asked Questions about orchestrator

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

FAQPage Schema
How do I manage multi-domain planning and dispatch specialist agents for complex product tasks?

Multi-domain planning is managed by decomposing a request into subtasks, dispatching specialist agents in parallel, and synthesizing their outputs into a unified result. A shared findings scratchpad handles sequential dependencies across domains.

What is the best way to execute parallel research and chained execution across engineering and UX roles?

Parallel research and chained execution across engineering and UX roles is achieved by orchestrating multi-role work, running independent tasks simultaneously, and chaining dependent tasks via a shared findings scratchpad to merge outputs.

Can I use agent dispatch for complex product debugging without knowing which specialist to use?

Yes, you can use agent dispatch when you do not know which specialist to use. The orchestrator plans the work, delegates subtasks to the right experts across product, engineering, data, UX, QA, and GTM, and merges their outputs.

Does multi-role orchestration require a work plan and confirmation before dispatching agents?

Yes, multi-role orchestration requires a Phase 0 clarifying-question gate and an announced Phase 3 work plan. It requests confirmation before dispatching actions that write files, run commands, or access external resources to ensure safety and control.

How does confidence signaling work during sequential task execution?

Confidence signaling works by requiring CONFIDENCE-signal handling during the orchestration process. This mechanism ensures that synthesized results from sequential task execution maintain reliability across the shared findings scratchpad.

When should I not use a multi-role orchestration approach for task execution?

You should not use a multi-role orchestration approach for simple, single-domain tasks that lack sequential dependencies or parallel research requirements, as the overhead of planning subtasks and synthesizing specialist agents would be unnecessary.