A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

Open source agentic build system - transforms specifications into verified source code with blind adversarial review

Claude Code skills for Claude + GPT collaborative workflows. Adversarial plan review + orchestrated code execution with iterative refinement.

The agent that writes the code never reviews it. Spec-driven TDD with agent separation, adversarial QA, and dynamic rigor for Claude Code.

Generative Adversarial Networks : paper, pytorch-code, review(Korean)

Turn Claude Code from a fast coder into a senior software architect. An 8-phase development skill with TDD, adversarial review, and quality gate cycles.

Operational capabilities for high-leverage AI coding agents. Features deterministic execution, 100% tested safety gates, impasse detection, and adversarial review. Includes 'Gold Standard' meta-skills like Pre-Action Guard and Failure Postmortem to prevent loops and data loss.

Bidirectional adversarial review system between Claude Code (Opus) and Codex CLI (GPT-5.4)

Risk-adaptive development pipeline with adversarial consensus code review

Claude Code skill for adversarial review of plans, design docs, and code

Code implementation of the paper: Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks, which has been submitted to TKDE for review.

GitHub Copilot plugin for Claude Code — code review, adversarial review, and task delegation via GPT-5.4.

Multi-model AI orchestration platform — route coding tasks through specialized LLM agents with consensus, adversarial review, and an independent Arbiter layer. Model-agnostic. Plugin any LLM. Ship better code.

Cross-model adversarial code review for Claude Code. Claude-written code gets reviewed by Codex; Codex-written code gets reviewed by Claude. Different models, different blind spots — let them fight. 跨模型对抗式 Code Review Claude Code skill。Claude 写的代码让 Codex 审，Codex 写的让 Claude 审。不同模型有不同盲区，让它们互相找茬。

Multi-AI adversarial code review — let Claude, GPT, and Gemini debate your PRs

A coordination protocol for parallel AI agents in Claude Code. 14 Color-coded agents. Frozen contracts. File ownership. Adversarial review. No dependencies — copy three files and run.

Elenchus MCP Server - Adversarial verification system for code review

Claude Code plugin: adversarial multi-model code review with dual Optimizer/Skeptic agents

A marketplace of Claude Code plugins for adversarial security and architectural code review.

Self-adapting Claude Code skill — auto-reviews code, learns from mistakes, adapts review depth. Adversarial self-testing + predictive pre-review + cross-session learning.

Autonomous build pipeline for AI coding agents. Multi-agent parallelism, adversarial review, compound learning.

Multi-agent code review with Claude + GPT Codex in an adversarial debate loop

Claude Code plugin: unified multi-LLM planning with adversarial review and TDD execution via Ralph Loop

15 Claude Code skills for building full-stack apps methodically — ideation, TDD, adversarial review, AI governance, and systematic debugging. Designed for non-developers.

Run your content through multiple rounds where the AI critiques itself from different expert angles (structured code review, strategic debate councils, elimination tournaments for binary choices), ground with multi-web search between passes, and revise until only ideas that survive adversarial pressure remain.

Review triad plugin for Claude Code: prompt optimization, adversarial red-team review, plan validation, and intelligent orchestration.

Claude Code skill for adversarial AI code & plan review. One AI writes, another tears it apart. Iterative fix loop until approved.

This repository is an artifact for the paper under review "Multivariate Generative Adversarial Networks and their Loss Functions for Synthesis of Multichannel ECGs" submitted to IEEE Pattern Recognition and Machine Intelligence 2020. The code is available as Jupyter Notebooks `.ipynb`, `.py` files will be added shortly.

MELD (Methodology for Engineering Lifecycle & Development) — Claude Code plugin for structured product development with agent personas, complexity routing, spec engineering, adversarial review, and execution skills

Auto-activating, multi-agent skill ecosystem for Claude Code, Codex, and Cursor. 51 skills, 26 agents, quality gates, knowledge store, adversarial review, content writing & optimization.