mcmc-sampling-stan
Guide for performing Markov Chain Monte Carlo (MCMC) sampling using RStan or PyStan. This skill should be used when implementing Bayesian statistical models, fitting hierarchical models, working with Stan modeling language, or running MCMC diagnostics. Applies to tasks involving posterior sampling, Bayesian inference, and probabilistic programming with Stan.
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Installation for Agentic Skill
View all platforms →skilz install letta-ai/skills/mcmc-sampling-stanskilz install letta-ai/skills/mcmc-sampling-stan --agent opencodeskilz install letta-ai/skills/mcmc-sampling-stan --agent codexskilz install letta-ai/skills/mcmc-sampling-stan --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/letta-ai/skillscp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-only/mcmc-sampling-stan ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
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- skills
- Stars
- 13
- Forks
- 1
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 21
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