Prompts, skills, and agents that survive contact with real workflows. No vendor loyalty. Occasionally heretical. 🧙🏻♀️
This repository also configures its own agents. See what arcanum-artifex tells them →
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "gradient-boostong" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "hypothesis-testing-and-ab-evaluation" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "imbalanced-classification" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Low-level plotting library for full customisation. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "mlflow" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Analyse chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "model-selections-and-cross-validation" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Comprehensive toolkit for creating, analysing, and visualising complex networks and graphs in Python. Use when working with network/graph data structures, analysing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "numpy-scipy-statistics" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "opencv" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "pandas-data-wrangling" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Interactive visualisation 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-visualisation.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
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.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Power BI semantic modelling assistant for building optimised data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimising model performance. Triggers on queries about DAX calculations, table relationships…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Bayesian modelling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "scikit-learn-pipelines-and-column-transformers" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Statistical visualisation 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…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "shap-and-model-explainability" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analysing model bias or fairness, comparing…
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "statsmodels-time-series" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "survival-analysis" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
Skill "tabular-performance-at-scale" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
MarieLynneBlock/arcanum-artifex
Skill Claude CodeCodex
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualisation, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: