Agent-Skills.md

Agent Skills: emcee MCMC Sampler

emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications

data-analysisID: a5c-ai/babysitter/emcee-mcmc-sampler

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/emcee-mcmc-sampler

Skill Files

Browse the full folder contents for emcee-mcmc-sampler.

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plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/emcee-mcmc-sampler/SKILL.md

Skill Metadata

Name
emcee-mcmc-sampler
Description
emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications

emcee MCMC Sampler

Purpose

Provides expert guidance on emcee for Bayesian parameter estimation in physics, including ensemble sampling and convergence diagnostics.

Capabilities

  • Affine-invariant ensemble sampling
  • Parallel tempering support
  • Autocorrelation analysis
  • Convergence diagnostics
  • Prior/likelihood specification
  • Chain visualization

Usage Guidelines

  1. Model Setup: Define log-probability function
  2. Initialization: Initialize walkers appropriately
  3. Sampling: Run ensemble sampler
  4. Convergence: Check autocorrelation and convergence
  5. Analysis: Extract posterior distributions

Tools/Libraries

  • emcee
  • corner
  • arviz