Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install a5c-ai-babysitter-library-specializations-domains-science-physics-skills-cosmosis-git clone https://github.com/a5c-ai/babysitter.gitcp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-domains-science-physics-skills-cosmosis-/SKILL.md--- 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