neutral-target-baseline
Establish neutral baseline metrics for unbiased assessment.
model-convergence-forecast
Forecast convergence patterns in multi-model consensus scenarios.
longitudinal-drift-detector
Detect behavioral drift and alignment degradation over time.
polymorphic-analytics-instantiation
Instantiate polymorphic analytics for multi-context analysis.
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.
sentiment-analyzer
Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.
topic-modeler
Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.
survey-analyzer
Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.
time-series-decomposer
Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection.
statistical-analyzer
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
statistical-power-calculator
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
ab-test-calculator
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
classification-helper
Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.
dataset-comparer
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
clustering-analyzer
Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.
keyword-extractor
Extract keywords and key phrases from text using TF-IDF, RAKE, and frequency analysis. Generate word clouds and export to various formats.
ml-model-explainer
Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.
pivot-table-generator
Generate pivot tables from CSV/Excel with aggregations, filters, and automatic chart creation.
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