python-log-expert
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python logs, troubleshooting logging issues, implementing logging best practices, or analyzing structlog source code implementation. Includes complete structlog source code in source/structlog/ for deep implementation analysis. Requires structlog package.
python-polars
This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or needs guidance on Polars DataFrame operations, expression API, performance optimization, or data transformation workflows.
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
sql-analytics
Master analytical SQL including window functions, CTEs, aggregations, and query optimization for BI workloads
power-bi
Master Power BI development including DAX formulas, Power Query M, data modeling, and report optimization
tableau
Master Tableau development including calculated fields, LOD expressions, table calculations, and dashboard design
bi-fundamentals
Master Business Intelligence fundamentals including KPI design, metrics frameworks, data literacy, and analytical thinking
data-engineering
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
big-data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
devrel-metrics
Measuring and demonstrating DevRel impact through data and analytics
clustering
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
analytics-metrics-kpi
Master metrics definition, KPI tracking, dashboarding, A/B testing, and data-driven decision making. Use data to guide product decisions.
prompt-evaluation
Prompt testing, metrics, and A/B testing frameworks
Pandas Data Analysis
Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib
bi-fundamentals
BI fundamentals with metric definition, KPI calculation, dimensional modeling, dashboard optimization, and data storytelling. 40+ metric examples and calculation patterns.
data-analysis-sql
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
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