agent-orchestration-planner

Plan multi-agent orchestration and handoff strategies for complex goals.

12|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Space-Dinosaurs/DinoStack --skill agent-orchestration-planner-space-dinosaurs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-orchestration-planner
Source: https://github.com/Space-Dinosaurs/DinoStack/tree/main/.openclaw/skills/agent-orchestration-planner
Command: npx skills add https://github.com/Space-Dinosaurs/DinoStack --skill agent-orchestration-planner-space-dinosaurs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill helps teams determine the optimal set of agents, their sequence, and handoffs to complete complex goals without direct implementation.

Core Features & Use Cases

  • Orchestrates multi-agent teams for complex objectives
  • Defines sequencing, parallelization, and handoff points
  • Returns a concrete, executable orchestration plan for the conductor to run

Quick Start

Provide your complex goal and constraints to the planner to receive a ready-to-execute orchestration plan.

Frequently Asked Questions about agent-orchestration-planner

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

FAQPage Schema
How do I plan optimal multi-agent orchestration for a complex software goal?

To plan multi-agent orchestration, you define the optimal agent team, their sequencing, and handoff points. You provide the goal, constraints, and known risks to receive a concrete, executable plan without implementing the task itself.

What is multi-agent handoff strategy in complex task workflows?

Multi-agent handoff strategy defines how specialized agents like architect, engineer, and skeptic pass tasks sequentially or in parallel. It structures task execution to ensure risk-aware review and smooth transitions across different roles without direct implementation.

How do I sequence parallel tasks across specialized agents like architect and engineer?

Sequencing parallel tasks requires an orchestration plan that maps execution paths and handoffs between specialized agents. By supplying your complex goal and constraints, the planner determines the optimal parallelization and risk-aware review sequence for the conductor.

Do I need to provide known risks and constraints for multi-agent workflow planning?

Yes, multi-agent workflow planning requires inputs including your goal, constraints, and known risks. Providing these ensures the generated orchestration plan accurately maps sequencing and risk-aware review steps for the specialist agents.

Can I execute complex software engineering tasks directly using an orchestration planner?

No, an orchestration planner does not implement tasks directly. It outputs a concrete, executable plan defining the optimal agent teams, their sequencing, and handoffs, which the conductor then runs to complete the complex goal.

When should I use a risk-aware skeptic agent in my workflow planning?

A risk-aware skeptic agent should be included in workflow planning when complex goals require critical review and risk mitigation. The orchestration planner sequences this agent within the handoff strategy to evaluate outputs before finalizing the executable plan.