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cosmosis-parameter-estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

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§ 01 — Stats

Stars782

Prior1166

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§ 02 — Install

Get cosmosis-parameter-estimator.

Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.

One-line install · Claude Code

$npx versuz@latest install a5c-ai-babysitter-library-specializations-domains-science-physics-skills-cosmosis-

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$git clone https://github.com/a5c-ai/babysitter.git

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cp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-domains-science-physics-skills-cosmosis-/SKILL.md

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§ 05 — Challenge

Think you can beat it?

$npx versuz challenge a5c-ai-babysitter-library-specializations-domains-science-physics-skills-cosmosis-↵

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---
name: cosmosis-parameter-estimator
description: CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: physics
  domain: science
  category: cosmology
  phase: 6
---

# 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