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team-plan

Orchestrate five AI agents to research and generate implementation plans.

1|Updated Mar 3, 2026
Search Tags:#collaboration#software development#ai agents#risk assessment#code planning#implementation strategy
One-click install
npx skills add https://github.com/kozyszoo/antigravity-handson --skill team-plan-kozyszoo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team-plan
Source: https://github.com/kozyszoo/antigravity-handson/tree/main/.claude/skills/team-plan
Command: npx skills add https://github.com/kozyszoo/antigravity-handson --skill team-plan-kozyszoo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex process of planning code implementation by leveraging a team of specialized AI agents to thoroughly investigate, discuss, and agree upon a robust plan before any code is written.

Core Features & Use Cases

  • Multi-Agent Collaboration: Five distinct AI agents (researcher, analyst, pattern expert, architect, writer) work together.
  • Thorough Investigation: Covers codebase research, dependency analysis, pattern matching, and risk assessment.
  • Consensus-Driven Planning: Ensures all potential issues are discussed and resolved by the AI team before presenting a plan.
  • User Interaction for Clarity: Asks clarifying questions to the user when necessary to ensure a perfect plan.
  • Use Case: When faced with a complex bug fix or a new feature that spans multiple files, this Skill ensures a detailed, agreed-upon implementation plan is generated, minimizing the risk of errors and rework.

Quick Start

Use the team-plan skill to investigate and create a plan for implementing the new user authentication feature.

Frequently Asked Questions about team-plan

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

FAQPage Schema
How do I create an implementation plan for a complex software feature spanning multiple files?▼

Creating an implementation plan for complex software features is automated by orchestrating a team of five specialized AI agents to investigate codebase dependencies, match patterns, and assess risks before finalizing a strategy.

How does multi-agent AI collaboration work for code planning?▼

Multi-agent AI collaboration for code planning works by deploying five distinct roles—researcher, analyst, pattern expert, architect, and writer—to discuss and reach consensus on dependency analysis and risk assessment.

Can AI agents assess risks and dependencies before writing code?▼

Yes, AI agents can assess risks and dependencies before writing code by thoroughly investigating the codebase, analyzing dependencies, and escalating clarifying questions to ensure a robust implementation strategy.

What is the best way to plan code implementation for bug fixes involving multiple components?▼

The best way to plan code implementation for complex bug fixes is using consensus-driven AI planning, which ensures potential issues are discussed and resolved by specialized agents before any code is written.

Do I need to provide clarifying answers when generating an implementation strategy?▼

Yes, you need to provide clarifying answers when requested, as the AI team escalates user questions during the planning phase to ensure a perfect, detailed implementation plan is generated.

When should I not use automated AI agents for software development planning?▼

You should not use automated AI agents for software development planning if your task does not span multiple files or require complex dependency analysis, as the multi-agent consensus process is designed for thorough, risk-heavy implementations.

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