GitHub
python-analytics
Python data analysis with pandas, numpy, and analytics libraries
☆ 621Voir le skill
Skills IA Blockchain
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Explorer
GitHub
hex-grid-spatial
Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.
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GitHub
data-wrangler
Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the u...
☆ 621Voir le skill
GitHub
ab-testing-statistics
Statistical methods for analyzing A/B test (controlled experiment) results. Covers hypothesis testing for different metric types, multiple comparison corrections, and effect size calculations. Use when analyzin...
☆ 621Voir le skill
GitHub
statistical-analysis
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
☆ 621Voir le skill
GitHub
programming
Python and R programming for data analysis, automation, and reproducible analytics
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GitHub
sql-splitter
High-performance CLI for working with SQL dump files: split/merge by table, analyze contents, validate integrity, convert between MySQL/PostgreSQL/SQLite/MSSQL, create FK-safe samples, shard multi-tenant dumps,...
☆ 621Voir le skill
GitHub
hibernate-upgrade
Migrate Hibernate 5 to Hibernate 6 with Spring Boot 3. Use when fixing HQL/JPQL query parsing issues, removing deprecated Criteria API, updating ID generation strategies, or diagnosing N+1 query behavior change...
☆ 621Voir le skill
GitHub
train-model
Execute model training with optimization algorithms. Use when running training loops on datasets.
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GitHub
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
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GitHub
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
☆ 621Voir le skill
GitHub
model-deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
☆ 621Voir le skill
GitHub
seisbench-model-api
An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, f...
☆ 621Voir le skill
GitHub
stan-fundamentals
Foundational knowledge for writing Stan 2.37 models including program structure, type system, distributions, and best practices. Use when creating or reviewing Stan models.
☆ 621Voir le skill
GitHub
evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
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GitHub
glm-calibration
Calibrate GLM parameters for water temperature simulation. Use when you need to adjust model parameters to minimize RMSE between simulated and observed temperatures.
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GitHub
stan-development
Expert guidance for Stan probabilistic programming language development, including modern syntax, cmdstanr/cmdstanpy integration, and testing patterns
☆ 621Voir le skill
GitHub
python-regression-statistics
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods,...
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GitHub
workload-balancing
Optimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load b...
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GitHub
map-optimization-strategy
Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.
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GitHub
python-project
Use when creating Python projects, managing dependencies with uv, configuring pyproject.toml, building packages, or publishing to PyPI - covers project initialization, dependency management, and distribution; N...
☆ 620Voir le skill
GitHub
python-packaging
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
☆ 620Voir le skill
GitHub
python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
☆ 620Voir le skill
GitHub
python-scripting
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
☆ 620Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.