# AI/ML Engineering Pack - Installation Guide > Complete installation guide for the AI/ML Engineering Pack, a professional toolkit for prompt engineering, LLM integration, RAG systems, and AI safety. - Skill: `tools-only/ai-ml-engineering-pack-installation-guide` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add tools-only/ai-ml-engineering-pack-installation-guide` - Raw SKILL.md: https://api.skillmd.com/api/skills/tools-only/ai-ml-engineering-pack-installation-guide/raw - Safety review: pending (external: skill-scanner WARNING, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tools-only (https://skillmd.com/u/tools-only) - Updated: 2026-09-29 - Page: https://skillmd.com/skills/tools-only/ai-ml-engineering-pack-installation-guide --- # AI/ML Engineering Pack - Installation Guide Complete installation guide for the AI/ML Engineering Pack, a professional toolkit for prompt engineering, LLM integration, RAG systems, and AI safety. ## Prerequisites ### Required Software - **Claude Code CLI** (version 0.1.0 or higher) - **Python 3.10+** (for running generated code examples) - **Node.js 18+** (for TypeScript examples and API scaffolding) - **Git** (for cloning examples and templates) ### Optional Software (Recommended) - **Docker 20.10+** (for containerized deployments) - **Poetry or pip** (Python package management) - **npm or yarn** (Node.js package management) ### API Keys (As Needed) This pack generates code for multiple LLM providers. You'll need API keys based on your chosen provider: - **OpenAI API key** (gpt-4-turbo, gpt-3.5-turbo) - **Anthropic API key** (claude-3-opus, claude-3-sonnet, claude-3-haiku) - **Google Cloud credentials** (gemini-pro, gemini-flash) - **Cohere API key** (for reranking in RAG systems) Vector database credentials (if using hosted solutions): - **Pinecone API key** - **Qdrant Cloud credentials** - **Weaviate Cloud credentials** ## Installation Steps ### 1. Install Claude Code CLI If you haven't already installed Claude Code: ```bash # macOS/Linux curl -fsSL https://claude.ai/install.sh | sh # Verify installation claude --version ``` ### 2. Add Plugin Marketplace Add the claude-code-plugins-plus marketplace (if not already added): ```bash claude plugin marketplace add jeremylongshore/claude-code-plugins ``` ### 3. Install AI/ML Engineering Pack Install the complete pack with all 12 plugins: ```bash claude plugin install ai-ml-engineering-pack@claude-code-plugins-plus ``` This installs: - **Prompt Engineering** (3 plugins) - **LLM Integration** (3 plugins) - **RAG Systems** (3 plugins) - **AI Safety** (3 plugins) ### 4. Verify Installation Check that all plugins are installed: ```bash claude plugin list ``` You should see: ``` prompt-architect (agent) prompt-optimizer (agent) prompt-template-gen (command - /ptg) llm-integration-expert (agent) model-selector (agent) llm-api-scaffold (command - /las) rag-architect (agent) vector-db-expert (agent) rag-pipeline-gen (command - /rpg) ai-safety-expert (agent) prompt-injection-defender (agent) ai-monitoring-setup (command - /ams) ``` ### 5. Test Installation Test a quick command to verify everything works: ```bash # Start Claude Code claude # Inside Claude Code, test prompt template generator /ptg ``` You should see Claude generate a prompt template based on your requirements. ## Python Environment Setup For running generated Python code (RAG pipelines, LLM integrations): ```bash # Create virtual environment python3 -m venv venv-aiml source venv-aiml/bin/activate # On Windows: venv-aiml\Scripts\activate # Install common dependencies pip install openai anthropic google-generativeai pip install langchain langchain-openai langchain-anthropic pip install pinecone-client qdrant-client weaviate-client pip install presidio-analyzer presidio-anonymizer pip install fastapi uvicorn pydantic pip install prometheus-client python-dotenv ``` ## Node.js Environment Setup For running generated TypeScript code: ```bash # Initialize Node.js project npm init -y # Install common dependencies npm install openai @anthropic-ai/sdk @google/generative-ai npm install langchain @langchain/openai @langchain/anthropic npm install @pinecone-database/pinecone qdrant-client weaviate-ts-client npm install fastify zod dotenv npm install prom-client winston ``` ## Docker Setup (Optional) For containerized deployments generated by `/las` and `/rpg`: ```bash # Verify Docker is installed docker --version docker-compose --version # Test Docker docker run hello-world ``` ## Configuration ### Environment Variables Create a `.env` file for your projects (generated code will use this): ```bash # LLM Provider API Keys OPENAI_API_KEY=sk-... ANTHROPIC_API_KEY=sk-ant-... GOOGLE_API_KEY=... # Vector Database Credentials PINECONE_API_KEY=... PINECONE_ENVIRONMENT=us-west1-gcp QDRANT_URL=https://your-cluster.qdrant.io QDRANT_API_KEY=... WEAVIATE_URL=https://your-cluster.weaviate.network WEAVIATE_API_KEY=... # Monitoring PROMETHEUS_PORT=9090 GRAFANA_PORT=3000 # Cost Control MONTHLY_BUDGET_USD=1000 COST_ALERT_THRESHOLD=0.8 # Safety Settings ENABLE_PII_DETECTION=true ENABLE_TOXICITY_FILTER=true ENABLE_PROMPT_INJECTION_DEFENSE=true ``` ### Cost Limits (Recommended) Set up cost limits to prevent unexpected charges: ```bash # OpenAI - Set usage limits in dashboard # https://platform.openai.com/account/billing/limits # Anthropic - Configure usage alerts # https://console.anthropic.com/settings/usage # GCP - Set budget alerts # https://console.cloud.google.com/billing/budgets ``` ## Verification Checklist Before starting development, verify: - [ ] Claude Code CLI installed and working - [ ] AI/ML Engineering Pack installed (12 plugins) - [ ] Python 3.10+ environment set up - [ ] Node.js 18+ environment set up (optional) - [ ] At least one LLM provider API key configured - [ ] Vector database credentials (for RAG work) - [ ] `.env` file created with API keys - [ ] Docker installed (if using containerized deployments) - [ ] Cost limits configured on provider dashboards ## Quick Test Run this quick test to ensure everything is working: ```bash # Start Claude Code claude # Test each category: # 1. Prompt Engineering "Help me optimize this prompt: 'Write a summary of the following text...'" # Claude will use prompt-optimizer agent # 2. LLM Integration /las # Should start generating LLM API integration code # 3. RAG Systems /rpg # Should start generating RAG pipeline # 4. AI Safety "Implement PII detection for user inputs" # Claude will use ai-safety-expert agent ``` ## Updating To update to the latest version: ```bash # Check for updates claude plugin update ai-ml-engineering-pack # Or reinstall claude plugin uninstall ai-ml-engineering-pack claude plugin install ai-ml-engineering-pack@claude-code-plugins-plus ``` ## Troubleshooting See [TROUBLESHOOTING.md](./000-docs/157-DR-FAQS-troubleshooting.md) for common issues and solutions. ## Next Steps Once installed, proceed to: 1. [Quick Start Guide](./QUICK_START.md) - 10-minute walkthrough 2. [Use Cases](./USE_CASES.md) - Real-world examples with ROI 3. [Plugin Reference](./README.md) - Complete plugin documentation ## Support - **Issues:** https://github.com/jeremylongshore/claude-code-plugins/issues - **Discussions:** https://github.com/jeremylongshore/claude-code-plugins/discussions - **Email:** [email protected] --- **Installation Complete!** Proceed to [QUICK_START.md](./QUICK_START.md) to build your first AI/ML feature.