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>
458 lines
13 KiB
Markdown
458 lines
13 KiB
Markdown
# 🛠️ Claude Code Customizations Suite
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> **Complete automated setup for 40+ specialized agents, MCP tools, and professional integrations**
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---
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## 📑 Table of Contents
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1. [Overview](#-overview)
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2. [What's Included](#️-whats-included)
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3. [Directory Structure](#-directory-structure)
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4. [Installation](#-installation)
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5. [Verification](#-verification)
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6. [Configuration](#-configuration)
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7. [Key Features](#-key-features)
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8. [Troubleshooting](#-troubleshooting)
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---
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## 🎯 Overview
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This repository contains automated scripts to replicate a fully customized Claude Code environment with custom agents, MCP tools, and plugins.
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**Package Version:** 1.0.0
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**Claude Code Compatible:** Latest (2025+)
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**Node.js Required:** 14+
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**Platform:** Linux, macOS, WSL2
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---
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## ✨ What's Included
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### 🤖 Custom Agents (40+ specialized agents)
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#### Engineering Agents (7)
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→ **ai-engineer** - AI/ML feature implementation, LLM integration
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→ **backend-architect** - API design, database architecture, server-side logic
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→ **devops-automator** - CI/CD pipelines, infrastructure, monitoring
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→ **frontend-developer** - React/Vue/Angular UI development
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→ **mobile-app-builder** - iOS/Android React Native development
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→ **rapid-prototyper** - Quick MVP/prototype building (6-day cycle focused)
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→ **test-writer-fixer** - Automatic test writing and fixing
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#### Marketing Agents (7)
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→ **tiktok-strategist** - TikTok marketing and viral content strategies
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→ **growth-hacker** - Growth strategies and viral mechanics
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→ **content-creator** - Content creation for various platforms
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→ **instagram-curator** - Instagram content strategy
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→ **reddit-community-builder** - Reddit community engagement
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→ **twitter-engager** - Twitter engagement strategies
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→ **app-store-optimizer** - ASO and app store optimization
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#### Product Agents (3)
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→ **sprint-prioritizer** - 6-day sprint planning and feature prioritization
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→ **feedback-synthesizer** - User feedback analysis and insights
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→ **trend-researcher** - Market trend identification (TikTok/App Store focus)
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#### Studio Operations Agents (8)
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→ **studio-producer** - Cross-team coordination and resource allocation
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→ **project-shipper** - Launch coordination and go-to-market activities
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→ **studio-coach** - Elite performance coach for other agents
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→ **analytics-reporter** - Analytics and reporting
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→ **finance-tracker** - Financial tracking and management
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→ **infrastructure-maintainer** - Infrastructure maintenance
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→ **legal-compliance-checker** - Legal and compliance checks
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→ **support-responder** - Customer support responses
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#### Project Management Agents (3)
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→ **experiment-tracker** - A/B test and experiment tracking
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→ **project-shipper** - Project shipping coordination
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→ **studio-producer** - Studio production management
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#### Testing Agents (6)
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→ **test-writer-fixer** - Test writing and fixing (code change triggered)
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→ **api-tester** - API testing
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→ **performance-benchmarker** - Performance benchmarking
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→ **test-results-analyzer** - Test results analysis
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→ **tool-evaluator** - Tool evaluation
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→ **workflow-optimizer** - Workflow optimization
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#### Design Agents (6)
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→ **ui-ux-pro-max** - Professional UI/UX design with 50+ styles, 97 palettes, WCAG
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→ **ui-designer** - UI design and implementation
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→ **ux-researcher** - UX research and user experience
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→ **brand-guardian** - Brand consistency
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→ **visual-storyteller** - Visual storytelling
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→ **whimsy-injector** - Add delightful/playful UI elements (auto-triggered after UI changes)
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#### Bonus Agents (2)
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→ **studio-coach** - Performance coaching
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→ **joker** - Humor and entertainment
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---
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### 🔧 MCP (Model Context Protocol) Tools
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#### Vision Analysis Tools (`mcp__zai-mcp-server__`)
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→ **analyze_image** - General-purpose image analysis
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→ **analyze_video** - Video content analysis (MP4, MOV, M4V up to 8MB)
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→ **ui_to_artifact** - Convert UI screenshots to:
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→ `code` - Generate frontend code
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→ `prompt` - Generate AI prompt for recreation
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→ `spec` - Extract design specifications
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→ `description` - Natural language description
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→ **extract_text_from_screenshot** - OCR text extraction from screenshots
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→ **diagnose_error_screenshot** - Error message and stack trace diagnosis
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→ **ui_diff_check** - Compare two UI screenshots for differences
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→ **analyze_data_visualization** - Extract insights from charts/graphs/dashboards
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→ **understand_technical_diagram** - Analyze architecture/flowchart/UML/ER diagrams
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#### Web & Research Tools
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→ **mcp__web-search-prime__webSearchPrime** - Enhanced web search with:
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→ Domain filtering (whitelist/blacklist)
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→ Time-based filtering (day/week/month/year)
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→ Location-based results (CN/US)
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→ Content size control (medium/high)
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→ **mcp__web-reader__webReader** - Web scraper and converter:
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→ Fetch any URL
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→ Convert to markdown or text
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→ Image handling
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→ Link and image summaries
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#### GitHub Tools (`mcp__zread__`)
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→ **get_repo_structure** - Get GitHub repo directory structure
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→ **read_file** - Read files from GitHub repos
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→ **search_doc** - Search GitHub repo docs, issues, commits
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#### Additional Tools
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→ **mcp__4_5v_mcp__analyze_image** - Image analysis with URL support
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→ **mcp__glm_camp_server__claim_glm_camp_coupon** - Claim GLM promotional rewards
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---
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### 🎯 Custom Skills
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→ **glm-plan-bug:case-feedback** - Submit bug/issue feedback for GLM Coding Plan
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→ **glm-plan-usage:usage-query** - Query GLM Coding Plan usage statistics
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---
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## 📁 Directory Structure
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```
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~/.claude/
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├── agents/
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│ ├── engineering/ # 7 engineering agents
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│ ├── marketing/ # 7 marketing agents
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│ ├── product/ # 3 product agents
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│ ├── studio-operations/ # 8 studio operations agents
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│ ├── project-management/ # 3 project management agents
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│ ├── testing/ # 6 testing agents
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│ ├── design/ # 6 design agents
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│ └── bonus/ # 2 bonus agents
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├── plugins/
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│ ├── cache/ # Downloaded plugins
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│ ├── marketplaces/ # Plugin marketplaces
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│ ├── installed_plugins.json
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│ └── known_marketplaces.json
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├── hooks/ # Custom hooks
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├── settings.json # Main settings
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└── settings.local.json # Local permissions
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```
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---
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## 🚀 Installation
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### Option 1: Export from Existing Machine
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If you have an existing machine with these customizations:
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```bash
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# 1. Export customizations
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./export-claude-customizations.sh
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# 2. Transfer the archive to new machine
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scp claude-customizations-*.tar.gz user@new-machine:~/
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# 3. On new machine, extract and install
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tar -xzf claude-customizations-*.tar.gz
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cd claude-customizations-export
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./install-claude-customizations.sh
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```
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---
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### Option 2: Fresh Installation
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For a fresh installation on a new machine:
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```bash
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# 1. Download or clone the setup scripts
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# 2. Run the installer
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./install-claude-customizations.sh
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# 3. Copy agent definitions from source (if available)
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scp -r user@source:~/.claude/agents/* ~/.claude/agents/
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# 4. Restart Claude Code
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```
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---
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### Option 3: Manual Installation
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```bash
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# 1. Create directory structure
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mkdir -p ~/.claude/agents/{engineering,marketing,product,studio-operations,project-management,testing,design,bonus}
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mkdir -p ~/.claude/plugins/{cache,marketplaces}
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# 2. Install MCP tools
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npm install -g @z_ai/mcp-server @z_ai/coding-helper
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# 3. Create settings.json
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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_TOKEN_HERE",
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"ANTHROPIC_BASE_URL": "https://api.anthropic.com",
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"API_TIMEOUT_MS": "3000000",
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"CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1"
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},
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"enabledPlugins": {
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"glm-plan-bug@zai-coding-plugins": true,
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"glm-plan-usage@zai-coding-plugins": true
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}
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}
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EOF
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# 4. Copy agent files (from source or repository)
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# 5. Copy plugin configurations
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# 6. Restart Claude Code
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```
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---
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## ✅ Verification
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After installation, verify everything is working:
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### 1. Check agents are loaded
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```bash
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ls -la ~/.claude/agents/*/
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```
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### 2. Check MCP tools
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→ Start a Claude Code session
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→ The tools should be available automatically
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→ Check for `mcp__zai-mcp-server__*` tools
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→ Check for `mcp__web-search-prime__webSearchPrime`
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→ Check for `mcp__web-reader__webReader`
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→ Check for `mcp__zread__*` tools
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### 3. Check plugins
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```bash
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cat ~/.claude/plugins/installed_plugins.json
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```
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### 4. Test a custom agent
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```
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Use the Task tool with subagent_type="tiktok-strategist"
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```
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---
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## ⚙️ Configuration
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### API Credentials
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Edit `~/.claude/settings.json` and add your credentials:
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```json
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{
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"env": {
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"ANTHROPIC_AUTH_TOKEN": "your-api-token-here",
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"ANTHROPIC_BASE_URL": "https://api.anthropic.com"
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}
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}
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```
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### Permissions
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Edit `~/.claude/settings.local.json` to customize allowed commands.
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### Agent Customization
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Each agent is defined in a `.md` file in `~/.claude/agents/<category>/`. Edit these files to customize agent behavior.
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### MCP Server Configuration
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MCP servers are configured through the `@z_ai/coding-helper` package. The preset MCP services include:
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1. **zai-mcp-server** - Vision analysis (installed via npm/npx)
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2. **web-search-prime** - Web search (HTTP endpoint)
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3. **web-reader** - Web scraping (HTTP endpoint)
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4. **zread** - GitHub reader (HTTP endpoint)
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---
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## 🎨 Key Features
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### 6-Day Development Cycle Focus
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Many agents are optimized for rapid 6-day development sprints:
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→ **sprint-prioritizer** - Plan sprints
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→ **rapid-prototyper** - Quick MVPs
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→ **project-shipper** - Launch coordination
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→ **studio-producer** - Resource management
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### Automatic Quality Assurance
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Certain agents trigger automatically:
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→ **test-writer-fixer** - Auto-runs after code changes
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→ **whimsy-injector** - Auto-triggers after UI changes
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### Viral Marketing Focus
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Multiple agents for app growth:
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→ **tiktok-strategist** - TikTok-specific strategies
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→ **trend-researcher** - Identifies viral trends
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→ **growth-hacker** - Growth strategies
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### Studio Production Workflow
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Agents for team coordination:
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→ **studio-producer** - Cross-team coordination
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→ **studio-coach** - Performance coaching
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→ **project-shipper** - Launch management
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---
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## 🔧 Troubleshooting
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### MCP Tools Not Working
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1. Check npm packages are installed:
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```bash
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npm list -g @z_ai/mcp-server @z_ai/coding-helper
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```
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2. Verify settings.json has correct configuration
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3. Check Claude Code is using the latest version
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### Agents Not Showing
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1. Verify agent files exist in `~/.claude/agents/`
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2. Check file permissions
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3. Restart Claude Code completely
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### Plugin Issues
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1. Check `~/.claude/plugins/installed_plugins.json`
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2. Verify plugin cache exists
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3. Re-run installation script
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---
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## 🏗️ Architecture
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### How Custom Agents Work
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Each agent is a markdown file with:
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→ Name and description
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→ System prompt/instructions
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→ Tool access permissions
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→ Trigger conditions
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Agents are invoked via the Task tool:
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```
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Task(subagent_type="tiktok-strategist", prompt="...")
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```
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### How MCP Tools Work
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MCP tools are registered via Model Context Protocol servers:
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1. Server is defined in `@z_ai/coding-helper`
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2. Server starts (stdio or HTTP)
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3. Claude Code discovers available tools
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4. Tools are invoked with parameters
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5. Results return to Claude
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### How Plugins Work
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Plugins are npm packages with:
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→ `plugin.json` - Metadata
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→ `skills/` - Skill definitions
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→ `hooks/` - Event hooks
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→ `.mcp.json` - MCP server config (optional)
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---
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## 🚀 Advanced Usage
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### Creating Custom Agents
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1. Create a new `.md` file in appropriate category
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2. Follow existing agent structure
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3. Restart Claude Code
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4. Use via Task tool
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### Adding New MCP Tools
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1. Install MCP server: `npm install -g <mcp-package>`
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2. Configure in settings or via `@z_ai/coding-helper`
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3. Restart Claude Code
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4. Tools become available automatically
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### Creating Custom Skills
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1. Create plugin structure
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2. Add skill definitions
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3. Register in `installed_plugins.json`
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4. Invoke via Skill tool
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---
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## 📞 Support and Contributions
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For issues, questions, or contributions:
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1. Check existing documentation
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2. Review agent definitions for examples
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3. Test with simple tasks first
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4. Enable debug mode if needed
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---
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## 📝 License
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These customizations are provided as-is for use with Claude Code.
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---
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## 📋 Changelog
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### Version 1.0.0 (2025-01-15)
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→ Initial release
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→ 40+ custom agents across 8 categories
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→ 4 MCP tool integrations
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→ 2 custom skills
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→ Automated installation scripts
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→ Complete documentation
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---
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**Generated by Claude Code Customizations Package**
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**Last Updated:** 2025-01-16
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**Version:** 1.0.0
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