ai-data-scientist-plugin

Plugin ai-data-scientist-plugin from marketplace pluginagentmarketplace-ai-data-scientist in pluginagentmarketplace/custom-plugin-ai-data-scientist. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• computer-vision

  Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.

• data-engineering

  ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.

• data-visualization

  EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.

• deep-learning

  Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.

• machine-learning

  Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

• mlops-deployment

  Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.

• model-optimization

  Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.

• nlp-processing

  Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.

• python-programming

  Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

• reinforcement-learning

  Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.

• statistical-analysis

  Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.

• time-series

  ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.

Slash commands (5)

• /ai-data-scientist-plugin:assess

  AI & Data Scientist Knowledge Assessment

• /ai-data-scientist-plugin:browse-agent

  Explore AI & Data Scientist Agents

• /ai-data-scientist-plugin:learn

  Start Your AI & Data Scientist Learning Journey

• /ai-data-scientist-plugin:projects

  50+ Hands-On AI & Data Science Projects

• /ai-data-scientist-plugin:roadmap

  AI & Data Scientist Complete Roadmap 2025

Subagents (8)

• 01-python-data-science

  Master Python, R, SQL, Git, data structures, and algorithms for data science excellence

• 02-mathematics-statistics

  Master linear algebra, calculus, probability, statistics, and mathematical foundations for ML/AI

• 03-data-engineering

  Master ETL/ELT pipelines, big data processing (Spark, Hadoop), data lakes, streaming, and data quality

• 04-machine-learning-ai

  Master supervised/unsupervised learning, deep learning, NLP, computer vision, and model optimization

• 05-visualization-communication

  Master EDA, dashboards, storytelling, BI tools (Tableau, Power BI), and stakeholder communication

• 06-mlops-deployment

  Master model deployment, Docker/Kubernetes, CI/CD, monitoring, cloud platforms, and production ML

• 07-domain-career

  Business acumen, ethics, compliance, project management, career paths, and portfolio building

• 08-research-innovation

  AI research methodology, experimental design, paper writing, literature review, reproducible research, and scientific innovation

Similar plugins