pymc-modeling

In the author's own words, from each skill's SKILL.md.

• arviz-diagnostics

  Diagnose existing Bayesian inference output and evaluate fitted predictions with modern ArviZ DataTree summaries, divergences, rank R-hat, ESS and Monte Carlo precision. Use for posterior predictive checks, calibration, LOO/ELPD, Pareto k, stacking, grouped or temporal validation, survival diagnostics and Bayes-factor interpretation.

  skills/arviz-diagnostics/SKILL.md on GitHub (opens in a new tab)

• prior-elicitation

  Elicit and check Bayesian prior assumptions in meaningful units. Use for expert quantiles, PreliZ, constrained priors, prior-predictive plausibility and prior sensitivity, including power scaling, regularized horseshoe and R2D2 assumptions.

  skills/prior-elicitation/SKILL.md on GitHub (opens in a new tab)

• pymc-mlflow

  Track PyMC experiments with MLflow, record sampling configuration and diagnostics, save and retrieve DataTree artifacts, and compare runs. Use for pymc_marketing.mlflow autologging, MMM model persistence and MLflow registry preparation, or CLV fit tracking. Distinguishes experiment tracking, native model restoration and prediction wrappers from deployed services.

  skills/pymc-mlflow/SKILL.md on GitHub (opens in a new tab)

• pymc-modeling

  Build, revise, and debug Bayesian models with PyMC. Use when choosing likelihoods and priors, specifying model/data dimensions, fitting hierarchical models, GPs, time series, mixtures, BART or splines, using pymc-extras distributions, marginalization, state-space models or model-building tools, selecting inference methods, resolving failed initial evaluation or model/data shape errors, generating…

  skills/pymc-modeling/SKILL.md on GitHub (opens in a new tab)

• pytensor-workflows

  Build, differentiate, compile, and debug PyTensor symbolic computations for models. Use for symbolic tensor shape or dtype errors, named dimensions, indexing and broadcasting, vectorization and scan, numerical or sparse operations, symbolic RNG state, graph transformations and profiling, or custom differentiable Ops and backend lowering.

  skills/pytensor-workflows/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

Similar skills

• reaby morluto Reverse engineer anything with agents, from app behavior down to native binaries. 434k stars · 5 skills
• skillsby mattpocock Skills for Real Engineers. Straight from my .agents directory. 315k stars · 30 skills
• superpowersby obra An agentic skills framework & software development methodology that works. 313k stars · 15 skills
• ECCby affaan-m The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Cod… 298k stars · 30 skills
• andrej-karpathy-skillsby multica-ai A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. 230k stars · 1 skill
• skillsby anthropics Public repository for Agent Skills 188k stars · 19 skills