MAJOR IMPROVEMENT to GLM setup workflow: Before: Manual configuration with multiple steps - Create settings.json manually - Copy/paste complex JSON - Edit files manually - Easy to make mistakes After: Interactive wizard ( MUCH simpler!) - npm install -g @z_ai/coding-helper - npx @z_ai/coding-helper init - Wizard asks for API key - Everything configured automatically - Verified working Benefits: - ✅ Fewer steps (3 vs 6+) - ✅ Less error-prone - ✅ Interactive and guided - ✅ Official Z.AI tool - ✅ Automatic verification Updates: - MASTER-PROMPT.md: Promote wizard method as "EASIEST" - README.md: Add wizard at top as primary method - Blog post: Update warning with wizard commands - Keep manual method as alternative This makes GLM setup as simple as: npm install -g @z_ai/coding-helper npx @z_ai/coding-helper init claude
302 lines
9.3 KiB
Markdown
302 lines
9.3 KiB
Markdown
# 🚀 Claude Code & GLM Suite - Master Integration Prompt
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> **Quick installation by copy-pasting a prompt into Claude Code**
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---
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## ⚠️ BEFORE YOU BEGIN - Read This First!
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### **If Using Z.AI / GLM Coding Plan (90% cheaper):**
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**You MUST configure GLM FIRST before using Claude Code!**
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**🎯 EASIEST METHOD - Use Z.AI Coding Helper:**
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```bash
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# Step 1: Install the coding helper
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npm install -g @z_ai/coding-helper
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# Step 2: Run the interactive GLM setup wizard
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npx @z_ai/coding-helper init
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# The wizard will:
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# - Ask for your Z.AI API key
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# - Configure Claude Code for GLM automatically
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# - Set up proper model mappings (glm-4.5-air, glm-4.7)
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# - Verify everything works
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# Step 3: Start Claude Code with GLM configured
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claude
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# Step 4: Verify GLM is working (enter /status when prompted)
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/status
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```
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**📖 Official GLM Documentation:** https://docs.z.ai/devpack/tool/claude
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---
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**Alternative: Manual Configuration (if you prefer):**
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```bash
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# Step 1: Get your API key
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# Visit: https://z.ai/
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# Sign up for GLM Coding Plan and copy your API key
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# Step 2: Install Claude Code (if not installed)
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npm install -g @anthropic-ai/claude-code
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# Step 3: Create Claude Code settings
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mkdir -p ~/.claude
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cat > ~/.claude/settings.json << 'EOF'
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{
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"env": {
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"ANTHROPIC_AUTH_TOKEN": "YOUR_ZAI_API_KEY_HERE",
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"ANTHROPIC_BASE_URL": "https://api.z.ai/api/anthropic",
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"API_TIMEOUT_MS": "3000000",
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"ANTHROPIC_DEFAULT_HAIKU_MODEL": "glm-4.5-air",
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"ANTHROPIC_DEFAULT_SONNET_MODEL": "glm-4.7",
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"ANTHROPIC_DEFAULT_OPUS_MODEL": "glm-4.7"
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}
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}
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EOF
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# Step 4: Start Claude Code
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claude
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```
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---
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### **If Using Anthropic Claude (Official API):**
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```bash
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# Step 1: Get your API key
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# Visit: https://console.anthropic.com/
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# Step 2: Create Claude Code settings
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mkdir -p ~/.claude
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cat > ~/.claude/settings.json << 'EOF'
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{
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"env": {
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"ANTHROPIC_AUTH_TOKEN": "sk-ant-your-api-key-here",
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"ANTHROPIC_BASE_URL": "https://api.anthropic.com"
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}
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}
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EOF
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# Step 3: Install Claude Code (if not installed)
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npm install -g @anthropic-ai/claude-code
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# Step 4: Start Claude Code
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claude
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```
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---
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## 📋 HOW TO USE THE MASTER PROMPT
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**Once Claude Code is running and configured:**
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### **Option 1: Copy From This File**
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**✂️ COPY FROM HERE:**
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```text
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═══════════════════════════════════════════════════════════════════════════════
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I want to install the Ultimate Claude Code & GLM Customization Suite with 40+ agents, MCP tools, and auto-triggering automation. Please perform the following integration:
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## Step 1: Install Contains Studio Agents (37 agents with PROACTIVELY auto-triggering)
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Clone the contains-studio/agents repository:
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git clone https://github.com/contains-studio/agents.git /tmp/contains-studio-agents
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Copy all agents to Claude Code agents directory:
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cp -r /tmp/contains-studio-agents/agents/* ~/.claude/agents/
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This provides:
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- 37 specialized agents across 8 departments
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- PROACTIVELY auto-triggering system (studio-coach, test-writer-fixer, whimsy-injector, experiment-tracker)
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- Rich example format with <commentary> tags
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- 500+ word system prompts
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## Step 2: Configure MCP Tools (Vision + Web + GitHub)
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Install Z.AI MCP server for vision tools:
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npm install -g @z_ai/mcp-server
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Install Z.AI coding helper for web/GitHub integration:
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npm install -g @z_ai/coding-helper
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Verify installations:
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npx @z_ai/mcp-server --help
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npx @z_ai/coding-helper --help
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This provides 15+ MCP tools including:
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- Image/video analysis
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- UI to code conversion
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- OCR text extraction
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- Error diagnosis
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- UI comparison
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- Data visualization insights
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- Diagram understanding
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- Web search and page reading
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- GitHub repository reading
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## Step 3: Configure Hooks-Based Auto-Triggering (Optional)
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Create ~/.claude/hooks.json for additional auto-triggering:
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cat > ~/.claude/hooks.json << 'EOF'
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{
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"userPromptSubmitHook": "test-writer-fixer@agent",
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"toolOutputHook": "whimsy-injector@agent"
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}
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EOF
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Note: PROACTIVELY agents (studio-coach, experiment-tracker) work automatically without hooks.
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## Step 4: Verify Installation
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Run these checks:
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1. List agents: ls -la ~/.claude/agents/
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2. Count agents: find ~/.claude/agents -name "*.md" | wc -l
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3. Test Claude Code: claude --version
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4. Check MCP tools: npx @z_ai/mcp-server --help
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Expected results:
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- 38+ agent files (37 agents + README)
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- All department folders present (engineering, marketing, design, product, project-management, studio-operations, testing, bonus)
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- MCP tools installed and accessible
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- Settings configured
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## What This Integration Provides:
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### 40+ AI Agents Including:
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- Engineering: AI Engineer, Backend Architect, DevOps Automator, Frontend Developer, Mobile Builder, Rapid Prototyper, Test Writer/Fixer
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- Marketing: TikTok Strategist, Growth Hacker, Content Creator, Instagram Curator, Reddit Builder, Twitter Engager, App Store Optimizer
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- Product: Feedback Synthesizer, Sprint Prioritizer, Trend Researcher
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- Project Management: Experiment Tracker, Project Shipper, Studio Producer
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- Studio Operations: Analytics Reporter, Finance Tracker, Infrastructure Maintainer, Legal Compliance Checker, Support Responder
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- Testing: API Tester, Performance Benchmarker, Test Results Analyzer, Tool Evaluator, Workflow Optimizer
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- Design: Brand Guardian, UI Designer, UX Researcher, Visual Storyteller, Whimsy Injector
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- Bonus: Studio Coach, Joker
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### Auto-Triggering Agents:
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1. studio-coach - Coordinates complex multi-agent tasks
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2. test-writer-fixer - Writes tests after code changes
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3. whimsy-injector - Adds delight to UI designs
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4. experiment-tracker - Tracks A/B tests and experiments
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### 15+ MCP Tools:
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- Vision: analyze_image, analyze_video, ui_to_artifact, extract_text, diagnose_error, ui_diff_check, analyze_data_viz, understand_diagram
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- Web: web-search-prime, web-reader
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- GitHub: zread (repository reader)
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### Two Auto-Triggering Mechanisms:
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1. PROACTIVELY Keyword (contains-studio) - Context-aware, zero config
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2. Hooks-Based (our implementation) - Event-driven, explicit control
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Please execute this integration step by step and confirm when complete.
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═══════════════════════════════════════════════════════════════════════════════
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```
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**✂️ COPY ENDS HERE**
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---
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## 📖 Detailed Installation Guide
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### What Gets Installed:
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| Component | Source | Count |
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|-----------|--------|-------|
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| AI Agents | contains-studio/agents | 37 |
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| MCP Vision Tools | @z_ai/mcp-server | 8 |
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| MCP Web Tools | claude-codex-settings | 2 |
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| MCP GitHub Tools | @z_ai/coding-helper | 1 |
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| Auto-Triggering | contains-studio + custom | 4 agents |
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| **Total** | | **40+ agents, 15+ tools** |
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---
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## 🎯 Quick Reference
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**After Installation, Test With:**
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```bash
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# Start Claude Code
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claude
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# Try these commands:
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> List all available agents
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> Use the frontend-developer agent to create a React component
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> Use the whimsy-injector agent to enhance this UI
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# Test MCP tools:
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> Analyze this image: [path to image]
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> Search the web for "latest AI trends"
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> Read the documentation from https://example.com
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```
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---
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## 🆚 Master Prompt vs Installation Scripts
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| Feature | Master Prompt | Installation Scripts |
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|---------|--------------|---------------------|
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| **Setup** | Copy-paste into Claude Code | Run bash scripts |
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| **Control** | Step-by-step confirmation | Automated execution |
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| **Customization** | Easy to modify steps | Edit script files |
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| **Transparency** | See all steps upfront | Scripts run automatically |
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| **Best For** | Understanding what happens | Quick installation |
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---
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## 📚 Source Repositories
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This integration pulls from multiple open-source projects:
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### Core Agents
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- **[contains-studio/agents](https://github.com/contains-studio/agents)** - 37 agents with PROACTIVELY auto-triggering
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- **[claude-codex-settings](https://github.com/fcakyon/claude-codex-settings)** - MCP configuration patterns
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### Design Inspiration
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- **[ui-ux-pro-max-skill](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill)** - UI/UX design patterns
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### Coordination Framework
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- **[Ralph](https://github.com/iannuttall/ralph)** - Multi-agent coordination patterns
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### MCP Tools
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- **[@z_ai/mcp-server](https://github.com/zai-ai/mcp-server)** - Vision and analysis tools
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- **[Model Context Protocol](https://github.com/modelcontextprotocol)** - Open standard for AI tools
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### Official Tools
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- **[Claude Code](https://github.com/anthropics/claude-code)** - Official Claude Code CLI
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- **[Z.AI GLM Documentation](https://docs.z.ai/devpack/tool/claude)** - Official GLM integration guide
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---
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## ✅ After Installation
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Test your setup:
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```bash
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# 1. Verify agents are installed
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ls ~/.claude/agents/
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find ~/.claude/agents -name "*.md" | wc -l
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# 2. Start Claude Code
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claude
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# 3. Check status (enter /status when prompted)
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/status
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# 4. Try an agent
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> Use the studio-coach agent to help me plan a complex project
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```
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---
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**Built for developers who ship.** 🚀
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