Battle-tested AI workflows from the top 1% of developers

While you're fighting with AI prompts, elite teams are shipping 3x faster.

At MadAppGang and 10xLabs, we don't do "good enough." We're the teams that Fortune 500 companies hire when their own developers can't deliver. We architect platforms processing $50M+ in annual transactions. We scale systems to 500,000+ concurrent users. We ship features that make or break businesses.

Here's what separates us: While most developers adopt new tools, we engineer competitive advantages.

When Claude Code launched, we didn't experiment—we weaponized it into production workflows that have:

⚡ Generated $2.3M in value through faster time-to-market on enterprise contracts ⚡ Eliminated 156+ hours per sprint of repetitive development work ⚡ Shipped 47 major features to production with zero rollbacks ⚡ Scaled to 23-person engineering teams without losing velocity ⚡ Cut AI token costs by 40% while improving output quality by 60%

Most developers are doing AI-assisted development wrong.

They're copying prompts from Reddit. Following tutorials from people who've never shipped to production. Using workflows that optimize for demos, not delivery.

The cost? Weeks of wasted time. Features that ship broken. AI bills that balloon. Teams that slow down instead of speed up.

Every single workflow in these plugins was forged in the fire of real deadlines, real users, and real revenue. Not built for GitHub stars. Built to win contracts and crush competitors.

We don't use "good enough" tools. We use the tools that win.

• 🔥 Tailwind CSS 4 & React 19 - Latest stable releases, not outdated patterns from 2023
• 🔥 Semantic code search - 40% token reduction = $1,200/month saved on AI costs for mid-size teams
• 🔥 8-phase implementation workflows - The exact process that shipped features to half a million users
• 🔥 MCP-powered integrations - Figma → Code → Browser Testing → Production in one command
• 🔥 Zero-config team synchronization - One file. Entire team aligned. No more "works on my machine"

Stop burning cash on inefficient AI usage. Our semantic search optimization alone has saved our teams $14,000+ annually in API costs.

Stop shipping buggy code. Our multi-stage review system (manual + AI + browser testing) catches 89% of bugs before they hit production.

Stop reinventing workflows. These plugins encode 2,500+ hours of workflow optimization that you get in 60 seconds.

Option A: Keep experimenting with generic AI prompts, watching your competitors ship faster, burning budget on trial-and-error.

Option B: Use the exact workflows that elite teams use to build products worth millions.

These aren't "best practices" from blog posts. This is the battle-tested playbook that ships features to Fortune 500 clients, scales to hundreds of thousands of users, and wins against competitors with 10x your budget.

This is how the top 1% actually builds software in 2025.

Already installed? Update to get the latest features:

/plugin marketplace update mag-claude-plugins

This single command updates everything - works for both global and local installations. No need to reinstall plugins.

Recommended Setup: Add marketplace globally, enable plugins per-project.

# Step 1: Add marketplace globally (one-time setup)
/plugin marketplace add MadAppGang/claude-code

Then add to your project's .claude/settings.json:

{
  "enabledPlugins": {
    "frontend@mag-claude-plugins": true,
    "code-analysis@mag-claude-plugins": true,
    "bun@mag-claude-plugins": true,
    "orchestration@mag-claude-plugins": true
  }
}

That's it! The plugins are now enabled for this project. Commit .claude/settings.json so your team gets the same setup automatically.

This repository contains production-ready plugins designed for modern web development teams. Each plugin includes specialized agents, custom slash commands, and workflow skills to streamline your development process.

Version: 2.8.0 | Category: Development | Model: Sonnet | 📖 Full Documentation

Professional toolkit for TypeScript/React development with intelligent workflow detection, CSS-aware design validation, orchestrated workflows, quality automation, and team collaboration features.

Highlights:

• NEW in v2.8.0: Intelligent Workflow Detection - Automatically detects API/UI/Mixed tasks and adapts execution for faster, more focused implementations
• 13 Specialized Agents - Including CSS Developer, Designer ecosystem (designer + designer-codex), UI Developer team (ui-developer + ui-developer-codex), architecture planning, code review, and browser testing
• 6 Slash Commands - Including /implement (8-phase with adaptive workflow detection), /implement-ui (with task decomposition), /validate-ui
• 3 Skills - Browser testing, API analysis, and proactive UI implementation
• 3 MCP Servers - Apidog, Figma, Chrome DevTools (plus Claudish CLI for external AI models)
• CSS-Aware Validation - DOM inspection, computed CSS analysis, pattern awareness
• CVA Best Practices - Comprehensive shadcn/ui integration guidance
• Task Decomposition - Parallel execution for independent UI components

The /implement Workflow with Intelligent Detection:

The star feature is the /implement command—now with intelligent workflow detection that automatically adapts based on your task:

For API Integration Tasks (e.g., "Integrate user management API"):

• Skips design validation (PHASE 2.5) entirely
• Runs 2 code reviewers (manual + AI) focused on API patterns
• Skips UI testing - focuses on API service tests
• Result: Faster implementation, no wasted time on irrelevant UI checks

For UI Implementation Tasks (e.g., "Build UserProfile component"):

1. Architecture Planning → Designs solution, asks questions, gets approval
2. Implementation → Generates code following project patterns 2.5. Design Fidelity Validation → CSS-aware validation if Figma links present
3. Triple Review → Manual review + AI analysis + browser testing
4. Test Generation → UI-focused test suites
5. User Approval → Final review gate
6. Cleanup → Removes temporary artifacts
7. Delivery → Production-ready feature with documentation

• Result: Pixel-perfect UI, comprehensive validation

For Mixed Tasks (both API and UI):

• Combines both workflows with appropriate focus areas
• Design validation for UI parts only
• All 3 reviewers with targeted focus
• Both API and UI test coverage

Perfect for: React/TypeScript teams, TanStack ecosystem, API-driven apps, Figma workflows, shadcn/ui projects, pixel-perfect UI implementation, production-ready code quality

👉 Read the complete guide for detailed workflow documentation

Version: 1.1.0 | Category: Development | Model: Sonnet

Deep code investigation and analysis toolkit for understanding complex codebases with semantic search capabilities.

Highlights:

• codebase-detective agent - Investigates code patterns, relationships, and architecture
• 2 Skills - Deep analysis + semantic code search expert guidance
• MCP Integration - Optimal usage of claude-context for 40% token reduction
• Deep analysis - Understands code relationships across multiple files
• Pattern discovery - Identifies usage patterns and architectural decisions
• Bug investigation - Tracks down issues across the codebase

Perfect for: Code exploration, bug investigation, understanding legacy code, architectural analysis, large codebase navigation

Version: 1.2.0 | Category: Development | Model: Sonnet

Production-ready TypeScript backend development with Bun runtime, featuring comprehensive camelCase naming conventions, API documentation synchronization, and clean architecture patterns.

Highlights:

• 3 Specialized Agents - Backend developer, API architect, Apidog synchronization specialist
• 3 Slash Commands - /implement-api (full-cycle), /setup-project (initialize), /apidog (sync API docs)
• 1 Comprehensive Skill - Best practices (2025) with camelCase conventions
• MCP Servers - Apidog integration
• camelCase Conventions - End-to-end naming consistency (database → API → frontend)
• Clean Architecture - Layered design (routes → controllers → services → repositories)
• Apidog Integration - Automatic API documentation synchronization with schema reuse
• Security First - Authentication, authorization, validation, error handling built-in

The Stack:

• Bun 1.x - Native TypeScript execution, lightning-fast performance
• Hono 4.6 - Ultra-fast web framework, TypeScript-first
• Prisma 6.2 - Type-safe ORM with camelCase schema support
• Zod - Runtime validation
• Biome 2.3 - Formatting + linting
• PostgreSQL/MongoDB - Database flexibility

Perfect for: TypeScript backend APIs, Bun projects, REST API development, microservices, API-first architectures, teams requiring naming consistency, Prisma ORM users, production-ready backends

Version: 0.1.0 | Category: Development | Type: Skills Plugin

Shared multi-agent coordination and workflow orchestration patterns for complex Claude Code workflows. Battle-tested patterns extracted from 100+ days of production use.

Highlights:

• 5 Comprehensive Skills - Multi-agent coordination, multi-model validation, quality gates, TodoWrite orchestration, error recovery
• Skills-Only Architecture - Pure knowledge plugin (no agents/commands) for context-efficient loading
• Skill Bundles - Pre-configured combinations (core, advanced, testing, complete)
• 4-Message Pattern - Proven workflow for true parallel execution (3-5x speedup)
• Consensus Analysis - Prioritize issues by cross-model agreement
• Battle-Tested - 100+ days production validation, 6,774 lines of documentation
• Zero Dependencies - Standalone, can be used by any plugin

The Skills:

1. multi-agent-coordination - Parallel vs sequential execution, agent selection, sub-agent delegation
2. multi-model-validation - Run multiple AI models (Grok, Gemini, GPT-5) in parallel via Claudish
3. quality-gates - User approval gates, iteration loops, severity classification, test-driven development
4. todowrite-orchestration - Phase tracking for complex multi-step workflows
5. error-recovery - Timeout handling, API failures, partial success, graceful degradation

Usage:

# In your agent or command frontmatter
skills: orchestration:multi-model-validation, orchestration:quality-gates

# Or use skill bundles
skills: orchestration:complete  # All 5 skills

Perfect for: Plugin developers, complex multi-phase workflows, multi-model validation, parallel execution patterns, test-driven development loops, production-grade error handling

👉 Read the complete guide for detailed patterns and examples

Repository: github.com/MadAppGang/claudish | Category: Development Tools | Type: Standalone CLI

Run Claude Code with any OpenRouter model via local Anthropic API proxy. 100% VERIFIED - Routes to real OpenRouter models, NOT Anthropic.

Top Recommended Models for Development:

• x-ai/grok-code-fast-1 - xAI's Grok (fast coding, great for rapid prototyping)
• openai/gpt-5-codex - OpenAI's GPT-5 Codex (advanced reasoning, complex tasks)
• minimax/minimax-m2 - MiniMax M2 (high performance, balanced)
• qwen/qwen3-vl-235b-a22b-instruct - Alibaba's Qwen (vision-language, multimodal)
• anthropic/claude-sonnet-4.5 - Claude Sonnet (for comparison/baseline)

Features:

• 🎯 Interactive Model Selector - Beautiful terminal UI when no model specified
• ⚡ One-Shot Proxy - Fresh proxy per run, random ports, parallel execution supported
• 🔄 Real-Time Streaming - Live output from Claude Code
• 🤖 Auto-Approve by Default - Fully autonomous (disable with --no-auto-approve)
• 🔐 Local Proxy Only - All traffic through 127.0.0.1, secure by design
• ✅ 100% Verified - Comprehensive tests prove models are NOT Anthropic

Installation:

npm install -g claudish

Usage:

# Interactive mode - shows model selector
claudish "implement user authentication"

# Specific model
claudish --model x-ai/grok-code-fast-1 "add tests"

# Custom model ID
claudish --model your/custom-model "your task"

# Disable auto-approve
claudish --no-auto-approve "make changes"

# List all models
claudish --list-models

# Help
claudish --help

Documentation: See github.com/MadAppGang/claudish for detailed setup and usage.

Perfect for: Exploring different AI models, cost optimization, specialized tasks requiring specific model capabilities, testing model performance, avoiding Anthropic API limitations

Claude Code Requirements:

• Claude Code version with plugin system support
• Plugin manifest location: .claude-plugin/plugin.json (required)
• Settings format: enabledPlugins must be object with boolean values:

  {
    "enabledPlugins": {
      "plugin-name@marketplace-name": true
    }
  }

System Requirements:

• Claude Code installed and configured
• Git access to GitHub

This approach gives you the best of both worlds: marketplace installed once globally, plugins enabled individually per project.

Each developer on your team does this once:

/plugin marketplace add MadAppGang/claude-code

This registers the MAG Claude Plugins marketplace in your Claude Code installation. You only need to do this once, and it works for all your projects.

Add or edit .claude/settings.json in your project root:

{
  "enabledPlugins": {
    "frontend@mag-claude-plugins": true
  }
}

Commit this file to git:

git add .claude/settings.json
git commit -m "Enable MAG Claude plugins for this project"
git push

When team members who have added the marketplace (Step 1) pull your project, Claude Code automatically:

1. Detects the enabled plugins
2. Installs them for this project
3. Activates them immediately

No manual installation needed!

✅ One-time marketplace setup - Add the marketplace once, use in all projects ✅ Per-project plugin control - Each project specifies its own plugins ✅ Team consistency - Everyone gets the same plugins automatically ✅ Version controlled - Plugin configuration committed with your code ✅ No environment drift - All team members have identical plugin setup ✅ Project isolation - Plugins only active where you need them

Need more than one plugin? Just add more entries:

{
  "enabledPlugins": {
    "frontend@mag-claude-plugins": true,
    "code-analysis@mag-claude-plugins": true,
    "bun@mag-claude-plugins": true,
    "orchestration@mag-claude-plugins": true
  }
}

After setup, verify everything works:

# Check for any errors
/doctor

# List installed plugins
/plugin list

# Should show:
# frontend@mag-claude-plugins (project-specific)
#   Version: 1.2.0
#   Status: ✓ Loaded

Common issues:

• If /doctor shows errors, see Troubleshooting below
• If plugin not listed, ensure marketplace was added in Step 1
• Plugin activates automatically when you open a project with .claude/settings.json

Once installed, plugins work seamlessly with Claude Code:

Agents are automatically invoked by Claude when appropriate, or you can request them explicitly.

Slash Commands provide powerful one-line workflows for common tasks.

Skills enhance Claude's capabilities and are automatically used when relevant.

/implement Create a user profile page with avatar upload and bio editing

This single command:

1. Plans the architecture and gets your approval
2. Implements all components following your project patterns
3. Reviews code with 3 different approaches (human + AI + browser)
4. Generates comprehensive tests
5. Cleans up artifacts
6. Delivers production-ready code with documentation

Result: Complete feature in minutes, not hours.

/import-figma NavigationBar

Fetches your Figma component, adapts it to your codebase, installs dependencies, and opens it in browser for validation.

📖 For comprehensive documentation, examples, and detailed workflow explanations:

👉 Frontend Development Plugin - Complete Guide

The complete guide includes:

• Detailed /implement workflow (all 7 stages explained)
• Complete agent reference with use cases
• All slash commands with examples
• Skills documentation
• MCP server setup guides
• Troubleshooting and best practices

• Frontend Plugin Guide - Complete user guide with /implement workflow deep-dive
• Troubleshooting - Common issues and solutions
• Advanced Usage - Advanced configuration and workflows

• Development Guide - How to create plugins
• Contributing Guide - How to contribute to the marketplace
• Marketplace Reference - Technical schemas and structure
• Version Validation - Automated version validation system (prevents marketplace/plugin version mismatches)

For architecture and implementation details, see the ai-docs directory:

• TEAM_CONFIG_ARCHITECTURE.md - Team-first configuration
• DYNAMIC_MCP_GUIDE.md - MCP server configuration patterns
• COMPLETE_PLUGIN_SUMMARY.md - Complete plugin inventory
• SEMANTIC_SEARCH_SKILL_SUMMARY.md - Semantic search skill design

• ✅ Frontend Development plugin (v2.7.0 - complete with CSS-aware validation & CVA best practices)
• ✅ Code Analysis plugin (v1.1.0 - complete with semantic search)
• ✅ Backend Development plugin (v1.2.0 - complete with Bun, camelCase conventions, Apidog integration)
• 🚧 API Development plugin (planned)

• Testing Tools: E2E testing, visual regression, performance testing
• UI Components: Design system tools, component generators
• Backend Development: Node.js, API design, database tools
• DevOps: Docker, Kubernetes, CI/CD automation
• Documentation: Auto-generate docs, API reference, guides

Have a plugin idea? Open an issue with the plugin-request label.

• Frontend Development Plugin Guide - Complete user guide with /implement workflow deep-dive
• Figma Integration Guide - How to get Figma URLs and set up design imports

For technical details and architecture, see the ai-docs directory:

• TEAM_CONFIG_ARCHITECTURE.md - Team-first configuration, shareable config vs private secrets
• DYNAMIC_MCP_GUIDE.md - Dynamic MCP server configuration patterns
• IMPROVEMENTS_SUMMARY.md - Configuration command design decisions

• COMPLETE_PLUGIN_SUMMARY.md - Complete plugin inventory (13 frontend agents, 6 commands, 3 skills)
• FINAL_SUMMARY.md - Project overview and statistics

• DEPENDENCIES.md - All dependencies and environment variables
• CONFIGURE_MCP_FLOW.md - Configuration flow diagram

This project is licensed under the MIT License - see the LICENSE file for details.

Individual plugins may have their own licenses specified in their plugin.json files.

Jack Rudenko Email: i@madappgang.com Company: MadAppGang

• Built for Claude Code by Anthropic
• Inspired by the amazing Claude Code community
• Special thanks to all contributors

• Email: i@madappgang.com
• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Website: madappgang.com

Made with ❤️ by MadAppGang