agents-data-ai

Plugin agents-data-ai from marketplace buildwithclaude in davepoon/buildwithclaude. Commands read from the repo's manifest — yesterday.

Subagents (12)

• ai-engineer

  Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use PROACTIVELY for LLM features, chatbots, or AI-powered applications.

• context-manager

  Manages context across multiple agents and long-running tasks. Use PROACTIVELY when coordinating complex multi-agent workflows or when context needs to be preserved across multiple sessions. MUST BE USED for projects exceeding 10k tokens.

• data-analyst

  Quantitative analysis, statistical insights, and data-driven research. Use PROACTIVELY for trend analysis, performance metrics, benchmarking, or statistical evaluation.

• data-engineer

  Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.

• data-scientist

  Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.

• hackathon-ai-strategist

  Expert guidance on hackathon strategy, AI solution ideation, and project evaluation. Provides judge-perspective feedback, brainstorms winning AI concepts, and assesses project feasibility for tight timeframes.

• llms-maintainer

  Generates and maintains llms.txt roadmap files for AI crawler navigation. Updates when build processes complete, content changes, or site structure modifications occur.

• ml-engineer

  Implement ML pipelines, model serving, and feature engineering. Handles TensorFlow/PyTorch deployment, A/B testing, and monitoring. Use PROACTIVELY for ML model integration or production deployment.

• mlops-engineer

  Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.

• prompt-engineer

  Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.

• search-specialist

  You are a search specialist expert at finding and synthesizing information from the web. Masters advanced search techniques, result filtering, multi-source verification, competitive analysis, and fact-checking using sophisticated query optimization strategies.

• task-decomposition-expert

  Break down complex user goals into actionable tasks and identify optimal combinations of tools, agents, and workflows for system integration.

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