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.