competitive-agents

Coordinate competing agents to generate and cross-review Claude Code plugin implementations.

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/JayKim88/claude-ai-engineering --skill competitive-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-agents
Source: https://github.com/JayKim88/claude-ai-engineering/tree/main/plugins/competitive-agents/skills/competitive-agents
Command: npx skills add https://github.com/JayKim88/claude-ai-engineering --skill competitive-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating parallel agent workstreams to produce higher-quality Claude Code plugins, reducing bias and accelerating convergence on robust solutions.

Core Features & Use Cases

  • Orchestrates two agents with complementary philosophies to generate competing plugin implementations and cross-review each other.
  • Includes a built-in judge to select the winner and an optional fusion phase to combine strengths.
  • Supports planning-interview contextual data and ADR generation for architectural decisions.

Quick Start

Describe the plugin you want to build and trigger the competition with a phrase like compete to start the two-agent generation.

Frequently Asked Questions about competitive-agents

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

FAQPage Schema
How do I use competing agents to generate higher-quality Claude Code plugins?

Two agents with complementary philosophies generate competing Claude Code plugin implementations and cross-review each other's work. A built-in judge then selects the winner, with an optional fusion phase to combine strengths from both versions.

What is the multi-agent cross-review workflow for plugin development?

A phased workflow where two agents generate competing plugin implementations, cross-review each other's code, and a judge selects the winner. It includes v1/v2 generation cycles, optional fusion of strengths, and ADR generation for architectural decisions.

How do I start a two-agent competition to build a plugin?

Describe the plugin you want to build and trigger the competition with a phrase like compete to start the two-agent generation. This initiates the phased workflow including parallel generation, cross-review, and final judge decision.

Can I combine the strengths of two competing plugin implementations into one?

Yes, after the judge selects a winner, an optional fusion phase combines the strengths of both competing agent implementations into a single plugin. This ensures the final output retains the best elements from both versions.

Does the agent workflow generate documentation for architecture decisions?

Yes, the workflow generates ADRs (Architecture Decision Records) to document architecture decisions made during plugin generation. It also supports planning-interview contextual data and uses SKILL.md-driven prompts to guide the phased workflow.

What are the limitations of using a competitive agent workflow for plugin generation?

The competitive agent workflow requires more processing overhead than single-agent generation due to coordinating parallel workstreams, cross-review, and judge phases. It is best suited for complex plugin tasks where quality gains justify the additional cycles.