analizar-icfes
Analiza ejercicios matemáticos tipo ICFES según 6 dimensiones oficiales (dificultad, competencia, componente, pensamiento, contenido, eje). Usa cuando tengas imagen de problema ICFES, pregunta matemática para clasificar, o necesites decidir si requiere gráficos complejos. Detecta automáticamente si el ejercicio necesita Graficador Experto para replicación visual.
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
window-functions-deep-dive
Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing rows to neighbors, ranking within partitions, calculating rate of change, or computing time-based moving windows. CRITICAL - OPAL uses window() function wrapper, NOT SQL OVER clause.
symbol-map-entropy-calc
Calculate entropy metrics for symbolic mapping and semantic drift.
mathematical-foundations
Core mathematical concepts and theoretical frameworks for statistics
programming
Python and R programming for data analysis, automation, and reproducible analytics
tableau-cleanup
Clean up Tableau workbooks by standardizing captions, adding comments, and organizing into folders.
clif-icu
Analyzes ICU clinical data using the Common Longitudinal ICU data Format (CLIF) and clifpy Python library. Loads and filters CLIF tables (vitals, labs, medications, respiratory support, microbiology) by hospitalization_id and category columns. Computes clinical scores including SOFA, Charlson Comorbidity Index (CCI), and Elixhauser. Creates wide datasets and performs data transformations. Use when working with ICU data, CLIF format, clifpy, clinical scoring, ventilator data, sepsis research, or intensive care analytics.
static-analysis
Statiske analyseverktøy for drift-sjekk, sikkerhetsscan og kodekvalitet. Bruk før commit eller for å finne synkroniseringsproblemer.
statistics
Statistical analysis methods, hypothesis testing, and probability for data analytics
format-table
Formats markdown tables with fixed-width columns for consistent alignment. Use when creating tables, reformatting existing tables, or ensuring table readability. Triggers on terms like "format table", "align table", "fix table", "table columns".
audio-visualization-scheduling
Visualize audio frequency/time-domain data synchronized with React updates.
data-gouv
Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.
senior-data-scientist
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
neutral-target-baseline
Establish neutral baseline metrics for unbiased assessment.
create-sequence-view
Create sequence views showing temporal flows and user interactions. Uses plain arrows with descriptive labels (no relationship kinds).
powerbi-expert
Expert-level Power BI, DAX, M language, data modeling, Power Query, report design, and paginated reports
sales-report-generator
Generate quarterly sales reports with executive summary, regional breakdown, and trend analysis. Use for formal business reporting.
analyzing-backtests
Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks.
ecir-report-analyzer
Analyze completed ECIR (Engineering Change Impact Report) Excel files to extract insights, identify trends, and detect patterns across single or multiple reports. Use when the user asks to analyze ECIR reports, find trends in ECIRs, compare multiple ECIRs, identify cost variance patterns, or generate insights from completed ECIR Excel files. This skill works with the output files from the ECIR Advanced Tool.
