Agent-Skills.md

Agent Skills: CosmoSIS Parameter Estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

cosmologyID: a5c-ai/babysitter/cosmosis-parameter-estimator

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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

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plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/cosmosis-parameter-estimator/SKILL.md

Skill Metadata

Name
cosmosis-parameter-estimator
Description
CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

CosmoSIS Parameter Estimator

Purpose

Provides expert guidance on CosmoSIS for cosmological parameter estimation, including modular likelihood construction and MCMC sampling.

Capabilities

  • Modular likelihood construction
  • Multiple sampler support (emcee, multinest, polychord)
  • Prior specification
  • Chain analysis and diagnostics
  • Plotting and visualization
  • Pipeline construction

Usage Guidelines

  1. Pipeline Setup: Configure modular analysis pipeline
  2. Likelihoods: Build likelihood functions from data
  3. Priors: Specify parameter priors
  4. Sampling: Run MCMC with appropriate sampler
  5. Analysis: Analyze chains and compute posteriors

Tools/Libraries

  • CosmoSIS
  • emcee
  • GetDist