Data & Analytics

Expert in DuckDB embedded analytics, extensions, and persistent storage. Use when working with duckdb for data processing, streaming, or analytics.

Data science and machine learning specialist - Feature engineering, model development, hyperparameter tuning, MLOps, and production deployment best practices. Use when you need help with data science ml.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas. Use when you need help with xlsx.

Convert local documents to Markdown using Microsoft's markitdown CLI. Best for: PDF, Word, Excel, PowerPoint, images (OCR), audio. Can fetch URLs but Jina is faster for web. Triggers on: convert to markdown, read PDF, parse document, extract text from, docx, xlsx, pptx, OCR image, local file. Use when you need help with markitdown.

Log analysis and JSONL processing - structured extraction, cross-log correlation, timeline reconstruction, pattern search. Use when you need help with log ops.

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \\"the xlsx ...

Unless otherwise stated by the user or existing template. Use when you need help with xlsx official.

Unless otherwise stated by the user or existing template. Use when you need help with xlsx official.

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. Use when you need help with statsmodels.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use when you need help with sql pro.

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.

Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use when you need help with quant analyst.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use when you need help with networkx.

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. Use when you need help with matplotlib.

Transform raw data into compelling narratives that drive decisions and inspire action. Use when you need help with data storytelling.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use when you need help with data scientist.

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use when you need help with business analyst.

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. Use when you need help with biopython.

Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed. Use when you need help with bdistill knowledge extraction.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use when you need help with astropy.

Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto. Use when you need help with analytics product.