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CosmoSIS Parameter Estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

Installable skillMITBy a5c-aiUpdated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: cosmosis-parameter-estimator-48e40ab1f508
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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Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.