CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill cosmosis-parameter-estimator --agent claude-codeInstalls into .claude/skills of the current project.
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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
graph:
domains: [domain:physics]
skillAreas: [skill-area:physics-simulation, skill-area:statistical-analysis, skill-area:mathematical-reasoning]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:research-scientist, role:computational-scientist]
---
# 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
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