claude-code-glm-suite/README.md

# 🚀 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.

[![Agents](https://img.shields.io/badge/Agents-40+-purple)](agents/)
[![MCP Tools](https://img.shields.io/badge/MCP_Tools-15+-blue)](#mcp-tools)
[![License](https://img.shields.io/badge/License-MIT-green)](LICENSE)

## 🚀 Quick Start

```bash
# 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:**

```bash
# 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):**
```bash
# 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](https://github.rommark.dev/admin/claude-code-glm-suite/src/main/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

```bash
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

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

#### 1.2 Configure Claude Code

```bash
# 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)

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

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

#### 1.4 Verify Installation

```bash
# 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

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

#### 1.2 Configure Claude Code for GLM

```bash
# 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)

```bash
# 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

```bash
# 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

```bash
# 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)

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# Start Claude Code
claude

# Try a simple command
> List all available agents
```

#### 5.2 Test an Agent

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

#### 5.3 Test MCP Tools (if installed)

```bash
# 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](https://github.com/fcakyon/claude-codex-settings) |
| `web-reader` | Web page to markdown conversion | [claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) |
| `zread` | GitHub repository reader | [claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) |
| `@z_ai/mcp-server` | Vision and analysis tools | [@z_ai/mcp-server](https://github.com/zai-ai/mcp-server) |
| `@z_ai/coding-helper` | Web and GitHub integration | [@z_ai/mcp-server](https://github.com/zai-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:

```bash
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:

```yaml
---
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:

```bash
# 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.

```yaml
---
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

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## 🎯 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 |

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## 📚 Documentation

- **[MASTER-PROMPT.md](MASTER-PROMPT.md)** - Copy-paste installation prompt for Claude Code
- **[INTEGRATION-GUIDE.md](INTEGRATION-GUIDE.md)** - Technical integration details
- **[CONTAINS-STUDIO-INTEGRATION.md](CONTAINS-STUDIO-INTEGRATION.md)** - PROACTIVELY auto-triggering explained
- **[CLAUDE-CUSTOMIZATIONS-README.md](CLAUDE-CUSTOMIZATIONS-README.md)** - Complete feature documentation
- **[FINAL-SETUP-GUIDE.md](FINAL-SETUP-GUIDE.md)** - Detailed setup instructions
- **[SCRIPTS-GUIDE.md](SCRIPTS-GUIDE.md)** - Script usage guide

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## 🙏 Acknowledgments & Sources

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

### Core Inspiration

- **[contains-studio/agents](https://github.com/contains-studio/agents)** by [contains-studio](https://github.com/contains-studio)
  - 37 specialized agents with PROACTIVELY auto-triggering system
  - Inspired rich example format with <commentary> tags and 500+ word system prompts
  - Source of studio-coach coordination patterns and department-based organization
  - Integrated directly into this suite

- **[claude-codex-settings](https://github.com/fcakyon/claude-codex-settings)** by [fcakyon](https://github.com/fcakyon)
  - Comprehensive Claude Code settings and MCP configurations
  - Foundation for MCP tool integration patterns (reference)

- **[ui-ux-pro-max-skill](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill)** by [nextlevelbuilder](https://github.com/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](https://github.com/iannuttall/ralph)** by [iannuttall](https://github.com/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](https://github.com/zai-ai/mcp-server)** - Vision analysis, OCR, UI comparison, video analysis, and diagram understanding
- **[llm-tldr](https://github.com/parcadei/llm-tldr)** - Token-efficient code analysis with 95% reduction, semantic search, and 5-layer program analysis
- **[Z.AI GLM Documentation](https://docs.z.ai/devpack/tool/claude)** - Official GLM Coding Plan integration guide for Claude Code
- **[Model Context Protocol](https://github.com/modelcontextprotocol)** - Open standard for connecting AI models to tools
- **[Claude Code](https://github.com/anthropics/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

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## 🤝 Community & Contributing

This suite is **100% open source** and available on [GitHub](https://github.rommark.dev/admin/claude-code-glm-suite).

- ⭐ 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.** 🚀