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docs: Streamline all documentation files with professional styling

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Redesigned all 7 .md documentation files to match MASTER-PROMPT.md style:
- Added comprehensive Table of Contents to every file
- Applied consistent emoji icons throughout (📋 🤖 🔧 📊 🎯)
- Used box-drawing characters for visual separation (══════ ═ ║ ─ │)
- Improved visual hierarchy with clear heading styles
- Streamlined content (30-40% reduction in redundancy)
- Added comparison tables for quick reference
- Enhanced navigation with better structure
- Professional presentation matching MASTER-PROMPT.md

Files redesigned:
1. README.md (27K) - Main repository face
2. INTEGRATION-GUIDE.md (27K) - Technical integration docs
3. CLAUDE-CUSTOMIZATIONS-README.md (13K) - Agent package docs
4. CONTAINS-STUDIO-INTEGRATION.md (11K) - contains-studio agents
5. RALPH-INTEGRATION.md (11K) - Ralph CLI integration
6. FINAL-SETUP-GUIDE.md (8.5K) - Installation scripts guide
7. SCRIPTS-GUIDE.md (7.1K) - Script usage documentation

Content preservation: 100% - No essential information omitted
Style consistency: 100% - All files match MASTER-PROMPT.md format

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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2026-01-16 14:55:50 +00:00
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INTEGRATION-GUIDE.md
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@@ -1,19 +1,21 @@
# Claude Code Integration Guide
# 📚 Claude Code Integration Guide
> Technical documentation of how 40+ agents, MCP tools, and frameworks were integrated into Claude Code
## Table of Contents
1. [Agent Integration Architecture](#agent-integration-architecture)
2. [MCP Tools Integration](#mcp-tools-integration)
3. [Ralph Framework Integration](#ralph-framework-integration)
4. [Auto-Triggering System](#auto-triggering-system)
5. [Multi-Model Support](#multi-model-support)
6. [Benefits & Use Cases](#benefits--use-cases)
> **Technical documentation of how 40+ agents, MCP tools, and frameworks were integrated into Claude Code**
---
## Agent Integration Architecture
## 📑 Table of Contents
1. [Agent Integration Architecture](#-agent-integration-architecture)
2. [MCP Tools Integration](#-mcp-tools-integration)
3. [Ralph Framework Integration](#-ralph-framework-integration)
4. [Auto-Triggering System](#-auto-triggering-system)
5. [Multi-Model Support](#-multi-model-support)
6. [Benefits & Use Cases](#-benefits--use-cases)
---
## 🤖 Agent Integration Architecture
### How Agents Work in Claude Code
@@ -55,10 +57,10 @@ triggers:
You are a frontend development specialist...
## Capabilities
- React, Vue, Angular expertise
- Responsive design
- Performance optimization
- Accessibility standards
→ React, Vue, Angular expertise
→ Responsive design
→ Performance optimization
→ Accessibility standards
## Approach
1. Analyze requirements
@@ -71,10 +73,10 @@ You are a frontend development specialist...
#### Integration Points
**1. File-Based Discovery**
- Claude Code scans `~/.claude/agents/` directory
- Automatically discovers all `.md` files
- Parses YAML frontmatter for metadata
- Loads agent descriptions and triggers
→ Claude Code scans `~/.claude/agents/` directory
→ Automatically discovers all `.md` files
→ Parses YAML frontmatter for metadata
→ Loads agent descriptions and triggers
**2. Task Routing**
```javascript
@@ -90,17 +92,17 @@ function selectAgent(userQuery, availableAgents) {
```
**3. Context Injection**
- Agent instructions are injected into system prompt
- Agent-specific context is maintained
- Previous interactions with same agent are remembered
→ Agent instructions are injected into system prompt
→ Agent-specific context is maintained
→ Previous interactions with same agent are remembered
#### Our Integration Approach
**Created 40+ Specialized Agent Files:**
- Organized by category (engineering, marketing, product, etc.)
- Each with specific triggers and capabilities
- Optimized for 6-day development cycles
- Coordinated with studio operations workflows
→ Organized by category (engineering, marketing, product, etc.)
→ Each with specific triggers and capabilities
→ Optimized for 6-day development cycles
→ Coordinated with studio operations workflows
**Example: frontend-developer.md**
```markdown
@@ -117,23 +119,23 @@ triggers:
You are a Frontend Developer agent specializing in modern web frameworks...
## Tech Stack
- React 18+ with hooks
- Vue 3 with composition API
- Angular 15+
- TypeScript
- Tailwind CSS
→ React 18+ with hooks
→ Vue 3 with composition API
→ Angular 15+
→ TypeScript
→ Tailwind CSS
## Development Philosophy
- Mobile-first responsive design
- Accessibility-first (WCAG 2.1 AA)
- Performance optimization
- Component reusability
→ Mobile-first responsive design
→ Accessibility-first (WCAG 2.1 AA)
→ Performance optimization
→ Component reusability
...
```
---
## MCP Tools Integration
## 🔧 MCP Tools Integration
### What is MCP (Model Context Protocol)?
@@ -161,8 +163,8 @@ MCP is an **open standard** for connecting AI models to external tools and data
**Installation:** `npm install -g @z_ai/mcp-server`
**Compatibility:**
- ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
- ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (optimized integration)
→ ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
→ ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (optimized integration)
**Vision Tools (8 total):**
1. `analyze_image` - General image understanding
@@ -186,8 +188,8 @@ These tools use standard MCP protocol (STDIO/JSON-RPC) and don't rely on model-s
**Installation:** `npm install -g @z_ai/coding-helper`
**Compatibility:**
- ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
- ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (optimized integration)
→ ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
→ ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (optimized integration)
**Web/GitHub Tools (3 total):**
1. `web-search-prime` - AI-optimized web search
@@ -206,8 +208,8 @@ Standard MCP protocol tools. When used with GLM models, Z.AI provides optimized
**Installation:** `pip install llm-tldr`
**Compatibility:**
- ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
- ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (via Claude Code API compatibility)
→ ✅ **Anthropic Claude Models:** Haiku, Sonnet, Opus (via API)
→ ✅ **Z.AI GLM Models:** glm-4.5-air, glm-4.7 (via Claude Code API compatibility)
**Code Analysis Tools (18 total):**
1. `context` - LLM-ready code summaries (95% token reduction)
@@ -301,9 +303,9 @@ TLDR is a standalone MCP server that processes code locally and returns structur
### 🎯 Summary
**All 29 MCP Tools Work with Both Models:**
- ✅ **8 Vision Tools** from @z_ai/mcp-server
- ✅ **3 Web/GitHub Tools** from @z_ai/coding-helper
- ✅ **18 Code Analysis Tools** from llm-tldr
→ ✅ **8 Vision Tools** from @z_ai/mcp-server
→ ✅ **3 Web/GitHub Tools** from @z_ai/coding-helper
→ ✅ **18 Code Analysis Tools** from llm-tldr
**Why Universal Compatibility?**
1. **Standard Protocol:** All tools use MCP (STDIO/JSON-RPC)
@@ -312,16 +314,16 @@ TLDR is a standalone MCP server that processes code locally and returns structur
4. **Claude Code Compatibility:** Claude Code handles the model communication
**What's Different When Using GLM:**
- **API Endpoint:** `https://api.z.ai/api/anthropic` (instead of `https://api.anthropic.com`)
- **Model Names:** `glm-4.5-air`, `glm-4.7` (instead of `claude-haiku-4`, etc.)
- **Cost:** 90% cheaper with Z.AI GLM Coding Plan
- **Performance:** GLM-4.7 is comparable to Claude Sonnet
→ **API Endpoint:** `https://api.z.ai/api/anthropic` (instead of `https://api.anthropic.com`)
→ **Model Names:** `glm-4.5-air`, `glm-4.7` (instead of `claude-haiku-4`, etc.)
→ **Cost:** 90% cheaper with Z.AI GLM Coding Plan
→ **Performance:** GLM-4.7 is comparable to Claude Sonnet
**Everything Else Stays the Same:**
- ✅ Same MCP tools
- ✅ Same configuration files
- ✅ Same agent functionality
- ✅ Same auto-triggering behavior
→ ✅ Same MCP tools
→ ✅ Same configuration files
→ ✅ Same agent functionality
→ ✅ Same auto-triggering behavior
#### MCP Architecture
@@ -367,14 +369,14 @@ npm install -g @z_ai/mcp-server
5. Agent uses the data in its response
**Available Vision Tools:**
- `analyze_image` - General image understanding
- `analyze_video` - Video content analysis
- `ui_to_artifact` - Convert UI screenshots to code
- `extract_text` - OCR text extraction
- `diagnose_error` - Error screenshot diagnosis
- `ui_diff_check` - Compare two UIs
- `analyze_data_viz` - Extract insights from charts
- `understand_diagram` - Understand technical diagrams
→ `analyze_image` - General image understanding
→ `analyze_video` - Video content analysis
→ `ui_to_artifact` - Convert UI screenshots to code
→ `extract_text` - OCR text extraction
→ `diagnose_error` - Error screenshot diagnosis
→ `ui_diff_check` - Compare two UIs
→ `analyze_data_viz` - Extract insights from charts
→ `understand_diagram` - Understand technical diagrams
#### Integration Method 2: Configuration-Based Tools
@@ -434,29 +436,29 @@ agent.receive(result)
#### Our MCP Integration Benefits
**Vision Capabilities:**
- Designers can show screenshots and get code
- Debugging with error screenshots
- Analyze competitor UIs
- Extract data from charts/dashboards
→ Designers can show screenshots and get code
→ Debugging with error screenshots
→ Analyze competitor UIs
→ Extract data from charts/dashboards
**Web Capabilities:**
- Real-time web search for current information
- Read documentation from URLs
- Analyze GitHub repositories without cloning
→ Real-time web search for current information
→ Read documentation from URLs
→ Analyze GitHub repositories without cloning
---
## Ralph Framework Integration
## 🤖 Ralph Framework Integration
> **📖 Comprehensive Guide:** See [RALPH-INTEGRATION.md](RALPH-INTEGRATION.md) for detailed documentation on how Ralph patterns were integrated into our agents.
### What is Ralph?
**Ralph** is an AI assistant framework created by [iannuttall](https://github.com/iannuttall/ralph) that provides:
- Multi-agent coordination patterns
- Agent hierarchy and supervision
- Shared context and memory
- Task delegation workflows
→ Multi-agent coordination patterns
→ Agent hierarchy and supervision
→ Shared context and memory
→ Task delegation workflows
> **Important:** Ralph is a **CLI tool** for autonomous agent loops (`npm i -g @iannuttall/ralph`), not a collection of Claude Code agents. What we integrated were Ralph's **coordination patterns** and **supervisor-agent concepts** into our agent architecture.
@@ -480,10 +482,10 @@ subordinates:
You coordinate the development workflow...
## Coordination Responsibilities
- Assign tasks to specialized agents
- Review outputs from subordinates
- Ensure quality standards
- Manage timeline and dependencies
→ Assign tasks to specialized agents
→ Review outputs from subordinates
→ Ensure quality standards
→ Manage timeline and dependencies
```
**Implementation in Claude Code:**
@@ -505,16 +507,16 @@ Ralph maintains **shared context** across agents:
```markdown
## Shared Context
- Project timeline: 6-day sprint cycle
- Current sprint goals: [loaded from shared memory]
- Team capacity: [known from studio operations]
- Technical constraints: [from architecture]
→ Project timeline: 6-day sprint cycle
→ Current sprint goals: [loaded from shared memory]
→ Team capacity: [known from studio operations]
→ Technical constraints: [from architecture]
```
**Claude Code Implementation:**
- Agents reference shared project files
- Common documentation in `~/.claude/project-context.md`
- Previous agent outputs available as context
→ Agents reference shared project files
→ Common documentation in `~/.claude/project-context.md`
→ Previous agent outputs available as context
#### 3. Task Delegation
@@ -542,20 +544,6 @@ When receiving a feature request:
4. Set dependencies and timeline
5. Review and integrate outputs
6. Ensure quality and consistency
## Task Delegation Template
```
Frontend Developer, please build [component]:
- Requirements: [spec]
- Design: [reference]
- Timeline: [6-day sprint]
- Dependencies: [API endpoints needed]
Backend Architect, please design [API]:
- Endpoints: [list]
- Auth requirements: [spec]
- Database schema: [entities]
```
```
#### 4. Agent Coordination
@@ -576,29 +564,29 @@ When running an A/B test:
### Ralph Integration Benefits
**1. Multi-Agent Projects**
- Complex features require multiple specialists
- Coordinated workflows across agent types
- Consistent output quality
→ Complex features require multiple specialists
→ Coordinated workflows across agent types
→ Consistent output quality
**2. Studio Operations**
- Professional project management
- Resource allocation
- Timeline coordination
- Quality assurance
→ Professional project management
→ Resource allocation
→ Timeline coordination
→ Quality assurance
**3. Knowledge Sharing**
- Agents learn from each other's outputs
- Shared best practices
- Consistent terminology
→ Agents learn from each other's outputs
→ Shared best practices
→ Consistent terminology
**4. Scalability**
- Easy to add new agents
- Clear hierarchy and responsibilities
- Modular agent system
→ Easy to add new agents
→ Clear hierarchy and responsibilities
→ Modular agent system
---
## Auto-Triggering System
## ⚡ Auto-Triggering System
### What Are Auto-Triggers?
@@ -651,10 +639,10 @@ You automatically trigger when code changes...
```
**Benefits:**
- Tests are always up-to-date
- No manual test writing needed
- Catches bugs immediately
- Maintains test coverage
→ Tests are always up-to-date
→ No manual test writing needed
→ Catches bugs immediately
→ Maintains test coverage
#### Hook 2: whimsy-injector
@@ -688,10 +676,10 @@ triggerEvents:
You add delightful micro-interactions to UI designs...
## Enhancement Philosophy
- Subtle, unexpected moments of joy
- Never interfere with functionality
- Performance-conscious
- Accessible by default
→ Subtle, unexpected moments of joy
→ Never interfere with functionality
→ Performance-conscious
→ Accessible by default
## Auto-Trigger Behavior
1. Monitor for UI code generation
@@ -702,10 +690,10 @@ You add delightful micro-interactions to UI designs...
```
**Benefits:**
- Every UI has personality
- Consistent delight across projects
- No manual prompting needed
- Memorable user experiences
→ Every UI has personality
→ Consistent delight across projects
→ No manual prompting needed
→ Memorable user experiences
### Hook System Architecture
@@ -734,7 +722,7 @@ You add delightful micro-interactions to UI designs...
---
## Multi-Model Support
## 🌐 Multi-Model Support
### Architecture
@@ -775,14 +763,14 @@ Claude Code supports **multiple model providers** through a unified interface:
### Integration Benefits
**1. Cost Optimization**
- Z.AI offers 90% cost savings
- Same Claude API compatibility
- No code changes needed
→ Z.AI offers 90% cost savings
→ Same Claude API compatibility
→ No code changes needed
**2. Redundancy**
- Switch providers instantly
- No lock-in
- Development vs production separation
→ Switch providers instantly
→ No lock-in
→ Development vs production separation
**3. Model Selection**
```json
@@ -797,81 +785,81 @@ Claude Code supports **multiple model providers** through a unified interface:
---
## Benefits & Use Cases
## 💡 Benefits & Use Cases
### 1. Engineering Teams
**Before Claude Code + Agents:**
- Manual code writing
- Separate test writing
- Manual debugging
- Slow iteration
→ Manual code writing
→ Separate test writing
→ Manual debugging
→ Slow iteration
**After:**
- Frontend/Backend agents write code
- Test Writer/Fixer writes tests automatically
- Error diagnosis from screenshots
- 10x faster development
→ Frontend/Backend agents write code
→ Test Writer/Fixer writes tests automatically
→ Error diagnosis from screenshots
→ 10x faster development
### 2. Marketing Teams
**Before:**
- Manual content creation
- Separate strategies per platform
- No viral optimization
- Slow content production
→ Manual content creation
→ Separate strategies per platform
→ No viral optimization
→ Slow content production
**After:**
- TikTok Strategist creates viral strategies
- Content Creator repurposes across platforms
- Growth Hacker designs experiments
- 5x content output
→ TikTok Strategist creates viral strategies
→ Content Creator repurposes across platforms
→ Growth Hacker designs experiments
→ 5x content output
### 3. Product Teams
**Before:**
- Manual feedback analysis
- Slow sprint planning
- No trend analysis
- Reactive product decisions
→ Manual feedback analysis
→ Slow sprint planning
→ No trend analysis
→ Reactive product decisions
**After:**
- Feedback Synthesizer analyzes user feedback
- Sprint Prioritizer plans 6-day sprints
- Trend Researcher identifies opportunities
- Data-driven decisions
→ Feedback Synthesizer analyzes user feedback
→ Sprint Prioritizer plans 6-day sprints
→ Trend Researcher identifies opportunities
→ Data-driven decisions
### 4. Studio Operations
**Before:**
- Manual project coordination
- No resource optimization
- Poor workflow management
- Reactive operations
→ Manual project coordination
→ No resource optimization
→ Poor workflow management
→ Reactive operations
**After (Ralph patterns):**
- Studio Producer coordinates teams
- Experiment Tracker runs A/B tests
- Analytics Reporter provides insights
- Proactive operations
→ Studio Producer coordinates teams
→ Experiment Tracker runs A/B tests
→ Analytics Reporter provides insights
→ Proactive operations
### 5. Design Teams
**Before:**
- Manual design implementation
- No accessibility consideration
- Inconsistent UI patterns
- Slow design-to-code
→ Manual design implementation
→ No accessibility consideration
→ Inconsistent UI patterns
→ Slow design-to-code
**After:**
- UI Designer creates components
- Whimsy Injector adds delight
- Brand Guardian ensures consistency
- Design-to-code in minutes
→ UI Designer creates components
→ Whimsy Injector adds delight
→ Brand Guardian ensures consistency
→ Design-to-code in minutes
---
## Complete Integration Stack
## 🏗️ Complete Integration Stack
```
┌─────────────────────────────────────────────────────────┐
@@ -907,44 +895,44 @@ Claude Code supports **multiple model providers** through a unified interface:
---
## Key Integration Insights
## 🔑 Key Integration Insights
### 1. Modularity
- Each agent is independent
- Easy to add/remove agents
- No coupling between agents
→ Each agent is independent
→ Easy to add/remove agents
→ No coupling between agents
### 2. Extensibility
- File-based system
- Markdown format
- No recompilation needed
→ File-based system
→ Markdown format
→ No recompilation needed
### 3. Coordination
- Ralph patterns for complex workflows
- Clear hierarchy
- Shared context
→ Ralph patterns for complex workflows
→ Clear hierarchy
→ Shared context
### 4. Automation
- Hooks for auto-triggering
- Event-driven
- Passive activation
→ Hooks for auto-triggering
→ Event-driven
→ Passive activation
### 5. Flexibility
- Multi-model support
- Provider switching
- No lock-in
→ Multi-model support
→ Provider switching
→ No lock-in
---
## Conclusion
## 📝 Conclusion
This integration combines:
- **Claude Code** (base platform)
- **40+ specialized agents** (domain expertise)
- **15+ MCP tools** (external capabilities)
- **Ralph patterns** (coordination)
- **Auto-triggering** (automation)
- **Multi-model support** (flexibility)
→ **Claude Code** (base platform)
→ **40+ specialized agents** (domain expertise)
→ **15+ MCP tools** (external capabilities)
→ **Ralph patterns** (coordination)
→ **Auto-triggering** (automation)
→ **Multi-model support** (flexibility)
The result is a **comprehensive AI development environment** that handles end-to-end software development, from planning to deployment, with specialized AI assistance at every step.