multi-agent-planning

Synthesize parallel specialist planner proposals into a unified implementation plan.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/zcawood-mie/agentz --skill multi-agent-planning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-agent-planning
Source: https://github.com/zcawood-mie/agentz/tree/main/skills/multi-agent-planning
Command: npx skills add https://github.com/zcawood-mie/agentz --skill multi-agent-planning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Complex feature decisions often require competing tradeoffs across velocity, quality, UX, security, scalability, and conceptual integrity; this Skill removes the manual work of soliciting, comparing, and reconciling multiple specialist proposals into a coherent plan. It helps teams surface tensions, weigh options, and produce a unified implementation outline with clear open questions for stakeholder decisions.

Core Features & Use Cases

  • Parallel specialist planners: dispatches multiple planner personas (pragmatist, craftsperson, advocate, security, scalability, conceptualist) to propose distinct approaches to the same feature.
  • Synthesis & tension analysis: identifies consensus, surfaces disagreements, and recommends resolutions or open questions for user input.
  • Critique rounds: runs one or two parallel critique iterations where planners review the synthesized draft and provide objections, gaps, and suggestions.
  • Selective planner selection: choose a subset of planners based on feature type (e.g., CRUD, auth, UX) to keep planning proportional to complexity.
  • Use Case: produce a balanced design and implementation outline for a cross-team feature that must trade off speed, long-term maintainability, and user experience.

Quick Start

Use the multi-agent-planning skill to synthesize parallel planner proposals into a unified draft plan for the described feature and code context.

Frequently Asked Questions about multi-agent-planning

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

FAQPage Schema
How do I reconcile competing tradeoffs when planning a complex feature across velocity, UX, and security?

Multi-agent planning orchestrates parallel specialist planner personas to propose distinct approaches, then synthesizes proposals and surfaces tensions to produce a balanced implementation outline with clear open questions.

What is the best way to get multi-perspective proposals for architectural changes?

Multi-agent planning dispatches multiple planner personas—pragmatist, craftsperson, advocate, security, scalability, and conceptualist—to review the same feature and generate parallel proposals that reveal conflicting tradeoffs.

How do I run critique rounds on a synthesized feature plan?

After synthesizing parallel specialist proposals into a unified draft, multi-agent planning runs one or two critique iterations where planners review the draft and provide objections, gaps, and suggestions for refinement.

Can I use a subset of specialist planners for simpler features like CRUD operations?

Yes, multi-agent planning supports selective planner selection, allowing you to choose a subset of personas based on feature type—such as CRUD, auth, or UX—to keep planning proportional to complexity.

Does multi-agent planning output a final unified plan with risks and open questions?

Multi-agent planning produces a final unified implementation outline that includes identified consensus, triaged tensions, recommended resolutions, known risks, and open questions requiring stakeholder decisions.

When do I need multi-agent orchestration for feature planning?

Multi-agent orchestration is needed for complex product features and architectural changes where parallel specialist perspectives are required to surface tradeoffs across speed, maintainability, and user experience.