🚀 Ultimate Claude Code & GLM Suite

40+ specialized AI agents, MCP tools, auto-triggering automation for Claude Code. Works with Anthropic Claude and Z.AI/GLM models.

💡 Tip: Use invite token R0K78RJKNW for 10% OFF Z.AI GLM Plan subscription: https://z.ai/subscribe?ic=R0K78RJKNW

🚀 Quick Start

# Clone the repository
git clone https://github.rommark.dev/admin/claude-code-glm-suite.git
cd claude-code-glm-suite

# Run the interactive installer
chmod +x interactive-install-claude.sh
./interactive-install-claude.sh

# Follow the prompts:
# ✅ Choose model (Anthropic/Z.AI)
# ✅ Select agent categories to install
# ✅ Configure MCP tools
# ✅ Enter your API key
# ✅ Launch Claude Code

🎯 Installation Options

Choose the installation method that works best for you:

⚠️ IMPORTANT: For Z.AI / GLM Users

If using the GLM Coding Plan (90% cheaper), you MUST configure GLM FIRST before using Claude Code!

🎯 EASIEST METHOD - Use Z.AI Coding Helper Wizard:

# Install coding helper and run setup wizard
npm install -g @z_ai/coding-helper
npx @z_ai/coding-helper init

# The wizard will:
# ✅ Ask for your Z.AI API key
# ✅ Configure Claude Code for GLM automatically
# ✅ Set up model mappings (glm-4.5-air, glm-4.7)
# ✅ Verify everything works

# Start Claude Code with GLM
claude

Manual Configuration (if you prefer):

# Get API key: https://z.ai/
mkdir -p ~/.claude
cat > ~/.claude/settings.json << 'EOF'
{
  "env": {
    "ANTHROPIC_AUTH_TOKEN": "YOUR_ZAI_API_KEY_HERE",
    "ANTHROPIC_BASE_URL": "https://api.z.ai/api/anthropic",
    "API_TIMEOUT_MS": "3000000",
    "ANTHROPIC_DEFAULT_HAIKU_MODEL": "glm-4.5-air",
    "ANTHROPIC_DEFAULT_SONNET_MODEL": "glm-4.7",
    "ANTHROPIC_DEFAULT_OPUS_MODEL": "glm-4.7"
  }
}
EOF
npm install -g @anthropic-ai/claude-code
claude

---

Option 1: Master Prompt (Recommended for First-Time Users)

Copy and paste into Claude Code - it will guide you through the entire installation step-by-step:

📄 MASTER-PROMPT.md

⚡ Quick Start:

1. If using GLM: Configure GLM first (see above)
2. Start Claude Code: claude
3. Copy the prompt from MASTER-PROMPT.md (clearly marked with ✂️ COPY FROM HERE)
4. Paste into Claude Code
5. Done!

Benefits:

• ✅ See all steps before executing
• ✅ Easy to customize and understand
• ✅ Works entirely within Claude Code
• ✅ Includes all source repository references

Option 2: Interactive Installation Script

git clone https://github.rommark.dev/admin/claude-code-glm-suite.git
cd claude-code-glm-suite
chmod +x interactive-install-claude.sh
./interactive-install-claude.sh

Benefits:

• ✅ Automated execution
• ✅ Menu-driven configuration
• ✅ Backup and verification built-in
• ✅ Faster for experienced users

Option 3: Manual Installation

Follow the step-by-step guide below for full control over each component.

---

✨ What's Included

• 🤖 40+ Custom Agents across 8 categories
• 🔧 15+ MCP Tools for vision, search, and GitHub integration
• ⚡ Auto-Triggering test writer and UI enhancement agents
• 🎛️ Interactive Installation with model selection (Anthropic/Z.AI)
• 🛡️ One-Click Setup with comprehensive verification

📋 Complete Integration Guide

Step 1: Choose Your Model Provider

Choose Option A (Anthropic) or Option B (Z.AI/GLM Plan) below.

---

🔵 Option A: Anthropic Claude (Official API)

Best for: Production, highest quality, official support

1.1 Get Your API Key

# Visit: https://console.anthropic.com/
# Create an account and get your API key

1.2 Configure Claude Code

# Create/update your Claude Code settings
mkdir -p ~/.claude
cat > ~/.claude/settings.json << 'EOF'
{
  "env": {
    "ANTHROPIC_AUTH_TOKEN": "sk-ant-your-actual-api-key-here",
    "ANTHROPIC_BASE_URL": "https://api.anthropic.com"
  }
}
EOF

1.3 Install Claude Code (if not installed)

# Using npm
npm install -g @anthropic-ai/claude-code

# Or using curl
curl -fsSL https://claude.ai/install.sh | sh

1.4 Verify Installation

# Test Claude Code
claude --version

# Test API connection
echo "Hello, Claude!" | claude

---

🟢 Option B: Z.AI / GLM Coding Plan (Cost-Effective)

Best for: Development, testing, cost savings (up to 90% cheaper)

Official Documentation: https://docs.z.ai/devpack/tool/claude

1.1 Get Your API Key

# Visit: https://z.ai/
# Create an account and get your GLM Coding Plan API key

1.2 Configure Claude Code for GLM

# Create/update your Claude Code settings
mkdir -p ~/.claude
cat > ~/.claude/settings.json << 'EOF'
{
  "env": {
    "ANTHROPIC_AUTH_TOKEN": "your-zai-api-key-here",
    "ANTHROPIC_BASE_URL": "https://api.z.ai/api/anthropic",
    "API_TIMEOUT_MS": "3000000",
    "ANTHROPIC_DEFAULT_HAIKU_MODEL": "glm-4.5-air",
    "ANTHROPIC_DEFAULT_SONNET_MODEL": "glm-4.7",
    "ANTHROPIC_DEFAULT_OPUS_MODEL": "glm-4.7"
  }
}
EOF

GLM Models Available:

• glm-4.5-air - Fast, efficient (Haiku equivalent)
• glm-4.7 - High quality (Sonnet/Opus equivalent)

1.3 Install Claude Code (if not installed)

# Install Claude Code (requires Node.js 18+)
npm install -g @anthropic-ai/claude-code

# Verify version (recommended: 2.0.14+)
claude --version

# Upgrade if needed
claude update

1.4 Verify Installation

# Start Claude Code
claude

# Check model status (enter /status when prompted)
/status

# Troubleshooting:
# - Close all Claude Code windows and reopen
# - Or delete ~/.claude/settings.json and reconfigure
# - Verify JSON format is correct

---

Step 2: Install This Customization Suite

# Clone this repository
git clone https://github.rommark.dev/admin/claude-code-glm-suite.git
cd claude-code-glm-suite

# Run the interactive installer
chmod +x interactive-install-claude.sh
./interactive-install-claude.sh

The installer will:

• ✅ Detect your Claude Code installation
• ✅ Backup existing customizations
• ✅ Let you choose agent categories to install
• ✅ Configure MCP tools
• ✅ Set up auto-triggering agents
• ✅ Verify everything works

Installation options:

Step 1: Model Selection
  [ ] Already configured - skip model setup
  [ ] Anthropic Claude (official API)
  [ ] Z.AI / GLM Coding Plan

Step 2: Agent Categories
  [ ] Engineering (7 agents) - RECOMMENDED
  [ ] Marketing (7 agents)
  [ ] Product (3 agents)
  [ ] Project Management (3 agents)
  [ ] Studio Operations (5 agents)
  [ ] Testing (5 agents) - RECOMMENDED
  [ ] Design (5 agents)
  [ ] Bonus (2 agents)

Step 3: MCP Tools
  [ ] Vision Tools (8 tools) - RECOMMENDED
  [ ] Web Tools (search, reader)
  [ ] GitHub Tools (zread)

Step 4: Plugins & Hooks
  [ ] Auto-triggering agents
  [ ] Custom hooks

---

Step 3: Install MCP Tools (Optional but Recommended)

3.1 Vision Tools (8 tools)

# Install Z.AI MCP server for vision tools
npm install -g @z_ai/mcp-server

# Verify installation
npx @z_ai/mcp-server --help

3.2 Web & GitHub Tools

# Install Z.AI coding helper
npm install -g @z_ai/coding-helper

# Verify installation
npx @z_ai/coding-helper --help

---

Step 4: Verify Your Installation

# Run the verification script
chmod +x verify-claude-setup.sh
./verify-claude-setup.sh

Expected output:

✅ Claude Code installed
✅ Settings configured
✅ Agents directory exists
✅ 37 agent files found
✅ MCP tools available
✅ Configuration valid

---

Step 5: Test Your Setup

5.1 Test Basic Functionality

# Start Claude Code
claude

# Try a simple command
> List all available agents

5.2 Test an Agent

# In Claude Code, try:
> Use the frontend-developer agent to create a React component

5.3 Test MCP Tools (if installed)

# In Claude Code, try:
> Analyze this image: [path to image]
> Search the web for "latest AI trends"
> Read the documentation from https://example.com

---

📦 Installation Scripts

Script	Description	Size
interactive-install-claude.sh	Full interactive installer (recommended)	33KB
claude-setup-manager.sh	Menu-driven setup manager	11KB
create-complete-package.sh	Create distributable packages	16KB
verify-claude-setup.sh	Verify your installation	9KB
export-claude-customizations.sh	Export existing customizations	6.5KB

---

🤖 Agent Categories

Engineering (7 agents)

• AI Engineer - ML & LLM integration, prompt engineering
• Backend Architect - API design, database architecture, microservices
• DevOps Automator - CI/CD pipelines, infrastructure as code
• Frontend Developer - React/Vue/Angular, responsive design
• Mobile Builder - iOS/Android React Native apps
• Rapid Prototyper - Quick MVPs in 6-day cycles
• Test Writer/Fixer - Auto-write and fix tests

Marketing (7 agents)

• TikTok Strategist - Viral TikTok marketing strategies
• Growth Hacker - Growth strategies and user acquisition
• Content Creator - Multi-platform content creation
• Instagram Curator - Instagram strategy and engagement
• Reddit Builder - Reddit community building
• Twitter Engager - Twitter strategy and tactics
• App Store Optimizer - ASO optimization

Product (3 agents)

• Feedback Synthesizer - User feedback analysis
• Sprint Prioritizer - 6-day sprint planning
• Trend Researcher - Market trend analysis

Project Management (3 agents)

• Experiment Tracker - A/B test tracking
• Project Shipper - Launch coordination
• Studio Producer - Team workflow optimization

Studio Operations (5 agents)

• Analytics Reporter - Data analysis and reporting
• Finance Tracker - Financial tracking
• Infrastructure Maintainer - Infrastructure management
• Legal Compliance Checker - Compliance checks
• Support Responder - Customer support automation

Testing (5 agents)

• API Tester - API testing
• Performance Benchmarker - Performance testing
• Test Results Analyzer - Test analysis
• Tool Evaluator - Tool evaluation
• Workflow Optimizer - Workflow optimization

Design (5 agents)

• Brand Guardian - Brand consistency
• UI Designer - UI design and implementation
• UX Researcher - User experience research
• Visual Storyteller - Visual communication
• Whimsy Injector - Delightful UI enhancements

Bonus (2 agents)

• Joker - Humor and team morale
• Studio Coach - Team coaching and motivation

---

🔧 MCP Tools

Vision Tools (8 tools)

Tool	Function	Input
analyze_image	General image analysis	PNG, JPG, JPEG
analyze_video	Video content analysis	MP4, MOV, M4V
ui_to_artifact	UI screenshot to code	Screenshots
extract_text	OCR text extraction	Any image
diagnose_error	Error screenshot diagnosis	Error screenshots
ui_diff_check	Compare UI screenshots	Before/after
analyze_data_viz	Data visualization insights	Dashboards, charts
understand_diagram	Technical diagram analysis	UML, flowcharts

Web & GitHub Tools

Tool	Function	Source
web-search-prime	AI-optimized web search	claude-codex-settings
web-reader	Web page to markdown conversion	claude-codex-settings
zread	GitHub repository reader	claude-codex-settings
@z_ai/mcp-server	Vision and analysis tools	@z_ai/mcp-server
@z_ai/coding-helper	Web and GitHub integration	@z_ai/mcp-server

---

📚 Advanced Configuration

Auto-Triggering Agents

This suite supports two auto-triggering mechanisms:

Method 1: Hooks-Based (Our Implementation)

Configure hooks.json for automatic agent invocation:

cat > ~/.claude/hooks.json << 'EOF'
{
  "userPromptSubmitHook": "test-writer-fixer@agent",
  "toolOutputHook": "whimsy-injector@agent"
}
EOF

Method 2: PROACTIVELY Keyword (Contains Studio Pattern)

Agents with PROACTIVELY in their description automatically trigger based on context:

---
name: studio-coach
description: PROACTIVELY use this agent when complex multi-agent tasks begin...
---

The 4 Proactive Agents:

1. studio-coach - Triggers on complex multi-agent tasks
2. test-writer-fixer - Triggers after code modifications
3. whimsy-injector - Triggers after UI/UX changes
4. experiment-tracker - Triggers when feature flags are added

This method requires no hooks.json - Claude Code's built-in agent selection system detects the PROACTIVELY keyword and automatically invokes agents when matching conditions occur.

Key Differences:

Feature	Hooks-Based	PROACTIVELY Keyword
Configuration	hooks.json file	Built into agent description
Trigger Scope	Global events	Context-aware conditions
Flexibility	Manual setup	Self-documenting
Detection	File/tool operations	Semantic context

Custom Model Selection

Use specific models for different tasks:

# Add to settings.json
{
  "env": {
    "MODEL_DEFAULT": "claude-sonnet-4-20250514",
    "MODEL_FAST": "claude-haiku-4-20250514",
    "MODEL_EXPENSIVE": "claude-opus-4-20250514"
  }
}

---

📖 Complete Source Guide with Real-Life Examples

This suite integrates 6 major open-source projects, each providing unique capabilities. Below is a comprehensive guide explaining what each source does, how it integrates, and real-life examples showing the benefits.

1. contains-studio/agents 🎭

Source: https://github.com/contains-studio/agents Type: Agent Collection (37 agents) Installation: Copied to ~/.claude/agents/ Key Innovation: PROACTIVELY auto-triggering system

How It Works

Agents are Markdown files with YAML frontmatter. When the description contains "PROACTIVELY", Claude Code automatically invokes them based on context.

---
name: test-writer-fixer
description: PROACTIVELY use this agent after code modifications...
tools: Bash, Write, Read, Grep, Glob
---

Real-Life Example: Auto-Test Writing

BEFORE (Without auto-triggering):

You: I've added OAuth login
Claude: [Writes OAuth code]
You: [Must remember to write tests later]
[Time passes...]
You: [Manually writes tests, misses edge cases]
[Deploy with insufficient tests]
[Bug in production]

AFTER (With PROACTIVELY auto-triggering):

You: I've added OAuth login
Claude: [Writes OAuth code]
[test-writer-fixer PROACTIVELY triggers]
Claude (as test-writer-fixer): I'll write comprehensive tests...
✓ Unit tests for login flow
✓ Integration tests for token refresh
✓ Error handling tests
✓ Edge case coverage
✓ All tests passing!

[Immediately tested, production ready]

Benefits

• Zero Configuration - Works out of the box
• Context-Aware - Triggers based on what you're doing
• Rich Examples - Each agent has 4 detailed examples with commentary
• Department-Based - Organized by function (engineering, marketing, design, etc.)

---

2. @z_ai/mcp-server 🖼️

Source: https://github.com/zai-ai/mcp-server Type: MCP Server (8 vision tools) Installation: npm install -g @z_ai/mcp-server Key Feature: Understands images, videos, diagrams

Tools Provided

Tool	Function	Real-World Use
analyze_image	Understand any image	Analyze screenshots, photos, designs
analyze_video	Analyze video content	Review tutorial videos, identify key moments
ui_to_artifact	Convert UI to code	Implement design mockups
extract_text	OCR text extraction	Extract text from screenshots, scans
diagnose_error	Understand error screenshots	Debug errors from screen captures
ui_diff_check	Compare UI screenshots	Visual regression testing
analyze_data_viz	Extract insights from charts	Analyze dashboards, reports
understand_diagram	Understand technical diagrams	Parse UML, flowcharts, architecture

Real-Life Example: Error Diagnosis

BEFORE (Without vision tools):

You: [Shows error screenshot on phone]
Claude: I cannot see images. Please paste the error text.
You: [Manually types error message]
Claude: [Helps based on text only]
[Misses visual context: line numbers, file paths, variables shown in screenshot]

AFTER (With diagnose_error tool):

You: [Uploads error-screenshot.png]
You: What's wrong with this error?
Claude: [Using diagnose_error tool]
I can see from the screenshot:
- File: src/services/auth.ts, line 47
- Error: "Cannot read property 'id' of undefined"
- Context: Inside validateUser() function
- Root cause: The user object is null when API call fails

Fix: Add null check after fetching user:
```typescript
const user = await api.getUser(id);
if (!user) throw new NotFoundError('User not found');

[Precise fix with full visual context]

#### Benefits

- **Visual Context** - See what Claude sees
- **Faster Debugging** - No manual transcription
- **Exact Implementation** - UI to code matches designs
- **Video Analysis** - Understand motion graphics and animations

---

### 3. @z_ai/coding-helper 🌐

**Source:** https://github.com/zai-ai/mcp-server (same repository)
**Type:** MCP Server (3 tools) + CLI wizard
**Installation:** `npm install -g @z_ai/coding-helper`
**Key Feature:** Interactive GLM setup wizard + web/GitHub integration

#### Tools Provided

| Tool | Function | Real-World Use |
|------|----------|----------------|
| `web-search-prime` | AI-optimized web search | Get current information |
| `web-reader` | Convert web pages to markdown | Read documentation, articles |
| `zread` | Read GitHub repositories | Understand open-source projects |

#### Real-Life Example: Current Information

**BEFORE (Without web search):**

You: What's the latest Next.js version? Claude: Next.js 13 was released in 2022. [Information is 2+ years old] You: [Makes decisions based on outdated info]

**AFTER (With web-search-prime):**

You: What's the latest Next.js version and features? Claude: [Using web-search-prime tool] Searching current web... Next.js 15 was released in December 2024 with:

• Turbopack for faster builds
• Partial Prerendering
• Improved Server Actions
• Better TypeScript support

[Always current, better decisions]

#### GLM Setup Wizard

```bash
# One command to configure GLM
npx @z_ai/coding-helper init

# Wizard asks for:
# 1. Z.AI API key
# 2. Automatically configures settings.json
# 3. Sets model mappings (glm-4.5-air, glm-4.7)
# 4. Verifies everything works

Benefits

• Always Current - Real-time web search
• Repository Analysis - Read entire GitHub repos without manual pasting
• Simplified GLM Setup - Interactive wizard vs manual JSON editing
• Documentation Access - Convert any web page to clean markdown

---

4. llm-tldr 📊

Source: https://github.com/parcadei/llm-tldr Type: MCP Server (18 tools) + CLI Installation: pip install llm-tldr && tldr warm . Key Feature: 95% token reduction via 5-layer code analysis

The 5 Analysis Layers

Layer 5: Program Dependence (PDG) → "What affects line 42?"
Layer 4: Data Flow (DFG)           → "Where does this data go?"
Layer 3: Control Flow (CFG)        → "How complex is this code?"
Layer 2: Call Graph                → "Who calls this function?"
Layer 1: AST                       → "What functions exist?"

Key MCP Tools

Tool	Function	Real-World Use
context	LLM-ready code summaries	Understand large codebases with 95% fewer tokens
semantic	Search by behavior	Find code without knowing exact names
slice	Show only lines affecting a specific line	Debug faster
impact	Who calls this function?	Refactor safely
cfg	Control flow graph	Understand complexity
dfg	Data flow graph	Trace data transformations
dead	Find unreachable code	Clean up codebase
arch	Detect architectural layers	Understand codebase structure
And 10 more...

Real-Life Example: Semantic Code Search

BEFORE (Without llm-tldr):

You: Where's the JWT validation code?
Claude: [Searches for "JWT" or "validation"]
I found no results.
[Search failed because function is named "verify_access_token"]

AFTER (With semantic search):

You: Find the JWT validation code
Claude: [Using tldr semantic tool]
Searching by behavior: "validate JWT tokens"...

Found: verify_access_token() in src/auth/middleware.py
This function:
- Validates JWT signature
- Checks expiration time
- Extracts user claims
- Throws exception if invalid

[Finds by behavior/intent, not exact name match]

Real-Life Example: Token Savings

BEFORE (Raw code):

100K-line codebase = 104,000 tokens
Cost: $2.60 per query
[Expensive, slow]

AFTER (TLDR context):

100K-line codebase = 12,000 tokens (89% reduction)
Cost: $0.30 per query
[Faster, cheaper, same understanding]

Benefits

• 95% Token Savings - $100/month savings for large codebases
• Semantic Search - Find code by what it does, not what it's named
• Impact Analysis - Refactor safely, see what will break
• Program Slicing - Debug faster by seeing only relevant lines
• Architecture Detection - Understand codebase organization

---

5. claude-codex-settings 📋

Source: https://github.com/fcakyon/claude-codex-settings Type: Reference/Patterns (not installed directly) Integration: Inspires MCP configuration patterns Key Feature: Best practices for MCP integration

What It Provides

This is a reference project that shows:

• How to configure MCP servers properly
• Common MCP configuration patterns
• Tool integration best practices
• Example setups for various tools

How It Helps

Our suite uses these patterns:

• MCP server configuration in claude_desktop_config.json
• Tool invocation patterns
• Environment variable setup
• Error handling approaches

Benefits

• Best Practices - Proven configuration patterns
• Community Knowledge - Learn from others' setups
• Troubleshooting - Common issues and solutions

---

6. ui-ux-pro-max-skill 🎨

Source: https://github.com/nextlevelbuilder/ui-ux-pro-max-skill Type: Agent + Skill (now installed with PROACTIVELY auto-triggering) Integration: Installed as ~/.claude/agents/design/ui-ux-pro-max.md and ~/.claude/skills/ui-ux-pro-max/SKILL.md Key Feature: Professional UI/UX design agent with comprehensive patterns

What It Provides

PROACTIVELY Auto-Triggering Agent:

• Triggers on UI component creation (buttons, modals, forms, cards, navbars)
• Triggers on page design (landing pages, dashboards, pricing pages)
• Triggers on UI/UX review and audits
• Applies accessibility compliance (WCAG 2.1 AA/AAA)
• Tech-stack specific patterns (React, Next.js, Vue, Tailwind, shadcn/ui)

Comprehensive Design Knowledge:

• 50+ design styles (glassmorphism, minimalism, brutalism, etc.)
• 97 color palettes by industry
• 57 font pairings with Google Fonts imports
• Accessibility standards (contrast ratios, keyboard nav, ARIA labels)
• Professional design patterns (no emoji icons, proper hover states)

Real-Life Example: UI Component Creation

BEFORE (Without ui-ux-pro-max):

You: Create a modal for user settings
Claude: [Creates basic modal without accessibility]
[Missing: ARIA labels, focus trapping, keyboard support]
[Result: Modal doesn't work with screen readers]

AFTER (With ui-ux-pro-max PROACTIVELY triggers):

You: Create a modal for user settings
[ui-ux-pro-max auto-triggers]
Claude (as ui-ux-pro-max): I'll create a professional, accessible modal...
✓ Proper ARIA labels and roles
✓ Focus trap implementation
✓ Escape key and backdrop click handling
✓ Smooth animations (150-300ms)
✓ Mobile-responsive sizing
✓ WCAG 2.1 AA compliant colors
[Result: Modal works perfectly for all users]

Benefits

• Professional Quality - Agency-level design patterns automatically applied
• Accessibility First - WCAG 2.1 AA/AAA compliance built-in
• No Emoji Icons - Professional SVG icons from Heroicons/Lucide
• Proper Hover States - No layout shift, smooth transitions
• Contrast Compliant - All color combinations meet 4.5:1 minimum

---

🎯 Real-Life Impact: Before vs After Suite

Scenario	Without Suite	With Suite	Impact
Debugging Errors	Paste text manually, miss context	Upload screenshot → Instant diagnosis	5x faster
Implementing UI	Describe in words, iterate 10+ times	Upload design → Exact code generated	10x faster
Understanding Code	Read files manually, hit token limits	TLDR 5-layer analysis, 95% token savings	20x faster
Writing Tests	Write manually, forget often	Auto-triggered after every code change	Always tested
Code Search	grep for exact names	Semantic search by behavior	Finds by intent
Web Research	Outdated training data	Real-time web search	Always current
Refactoring	Risk breaking changes	Impact analysis, safe refactoring	Zero breaking changes
Learning Codebase	Manual file reading	Context summaries, call graphs	89% fewer tokens

---

📚 Documentation

• MASTER-PROMPT.md - Copy-paste installation prompt for Claude Code
• INTEGRATION-GUIDE.md - Technical integration details
• CONTAINS-STUDIO-INTEGRATION.md - PROACTIVELY auto-triggering explained
• RALPH-INTEGRATION.md - How Ralph framework patterns were integrated
• CLAUDE-CUSTOMIZATIONS-README.md - Complete feature documentation
• FINAL-SETUP-GUIDE.md - Detailed setup instructions
• SCRIPTS-GUIDE.md - Script usage guide

---

🙏 Acknowledgments & Sources

This customization suite is built upon excellent open-source projects and community contributions.

Core Inspiration

• contains-studio/agents by contains-studio

  • 37 specialized agents with PROACTIVELY auto-triggering system
  • Inspired rich example format with tags and 500+ word system prompts
  • Source of studio-coach coordination patterns and department-based organization
  • Integrated directly into this suite

• claude-codex-settings by fcakyon

  • Comprehensive Claude Code settings and MCP configurations
  • Foundation for MCP tool integration patterns (reference)

• ui-ux-pro-max-skill by nextlevelbuilder

  • Professional UI/UX design patterns converted to PROACTIVELY auto-triggering agent
  • Installed as ~/.claude/agents/design/ui-ux-pro-max.md with full design system knowledge
  • Also installed as SKILL file for enhanced compatibility

• Ralph by iannuttall

  • CLI framework for autonomous agent loops (installed separately via npm i -g @iannuttall/ralph)
  • Agent coordination patterns (supervisor-agent, task delegation) already integrated into contains-studio agents
  • Note: Ralph is a standalone tool, not Claude Code agents - its patterns inspired studio-producer and studio-coach

MCP Tool Sources

• @z_ai/mcp-server - Vision analysis, OCR, UI comparison, video analysis, and diagram understanding
• llm-tldr - Token-efficient code analysis with 95% reduction, semantic search, and 5-layer program analysis
• Z.AI GLM Documentation - Official GLM Coding Plan integration guide for Claude Code
• Model Context Protocol - Open standard for connecting AI models to tools
• Claude Code - Official Claude Code CLI by Anthropic

Agent Architecture

• 6-Day Development Cycle - Inspired by rapid iteration methodologies and startup best practices
• Studio Operations - Professional studio management patterns applied to software development
• Auto-Triggering Agents - Proactive agent invocation patterns for test writing and UI enhancement

---

🤝 Community & Contributing

This suite is 100% open source and available on GitHub.

• ⭐ Star the repo
• 🐛 Report issues
• 🔄 Submit pull requests
• 💡 Contribute your own agents!

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📝 License

MIT License - Feel free to use and modify for your needs.

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Built for developers who ship. 🚀