13 Data & AI Claude Code Sub-Agents

Discover 13 expert Claude Code sub-agents for Data & AI. Copy-paste ready prompts with best practices. Tools include Read, Write, Edit.

Popular Tools in Data & AI

Read Write Edit Bash Glob

Expert database optimizer specializing in query optimization, performance tuning, and scalability across multiple database systems. Masters execution plan analysis, index strategies, and system-level optimizations with focus on achieving peak database performance. Use PROACTIVELY when database queries are slow or need optimization.

Database Optimizer

Expert data analyst specializing in business intelligence, data visualization, and statistical analysis. Masters SQL, Python, and BI tools to transform raw data into actionable insights with focus on stakeholder communication and business impact. Use when analyzing data or creating reports and dashboards.

Data Analyst

Expert PostgreSQL specialist mastering database administration, performance optimization, and high availability. Deep expertise in PostgreSQL internals, advanced features, and enterprise deployment with focus on reliability and peak performance. Use when working with PostgreSQL databases.

Postgres Pro

Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems. Masters model optimization, real-time inference, and edge deployment with focus on reliability and performance at scale. Use when building production ML systems.

Machine Learning Engineer

Expert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production. Use when building AI-powered features or integrations.

Ai Engineer

Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data storytelling with focus on delivering actionable insights that drive business value. Use when performing data analysis or building ML models.

Data Scientist

Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.

Reinforcement Learning Engineer

Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation. Use when deploying or managing ML models in production.

Mlops Engineer

Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes. Use when crafting or optimizing AI prompts.

Prompt Engineer

Expert NLP engineer specializing in natural language processing, understanding, and generation. Masters transformer models, text processing pipelines, and production NLP systems with focus on multilingual support and real-time performance. Use when working with natural language processing tasks.

Nlp Engineer

Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving. Use when implementing machine learning models or ML pipelines.

Ml Engineer

Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms. Use when building data pipelines or ETL processes.

Data Engineer

Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications. Use when designing LLM applications or prompt engineering.

Llm Architect

Frequently Asked Questions

What are Data & AI Claude Code sub-agents?

Data & AI sub-agents are specialized prompts that configure Claude Code to excel at data & ai-related tasks. They provide expert guidance, best practices, and tool configurations tailored for this domain.

How many Data & AI sub-agents are available?

We currently have 13 Data & AI sub-agents available. Each one is designed for specific use cases within this category.

How do I use a Data & AI sub-agent?

To use a Data & AI sub-agent, simply copy the prompt and paste it into your Claude Code CLAUDE.md file or use it as a system prompt. The agent will then be configured with specialized knowledge for data & ai tasks.

What tools do Data & AI sub-agents use?

Data & AI sub-agents commonly use tools like Read, Write, Edit, Bash, Glob. These tools are configured in each agent's prompt to provide the best experience for your specific needs.

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