mcmc-sampling-stan
Guidance for Bayesian MCMC sampling tasks using RStan. This skill applies when implementing hierarchical Bayesian models, configuring Stan/RStan for MCMC inference, or working with posterior distributions. Use for tasks involving Stan model specification, RStan installation, MCMC diagnostics, and Bayesian hierarchical modeling.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install benchflow-ai-skillsbench-mcmc-sampling-stan
Repository
Skill path: registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_mcmc-sampling-stan/environment/skills/mcmc-sampling-stan
Guidance for Bayesian MCMC sampling tasks using RStan. This skill applies when implementing hierarchical Bayesian models, configuring Stan/RStan for MCMC inference, or working with posterior distributions. Use for tasks involving Stan model specification, RStan installation, MCMC diagnostics, and Bayesian hierarchical modeling.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: benchflow-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install mcmc-sampling-stan into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/benchflow-ai/SkillsBench before adding mcmc-sampling-stan to shared team environments
- Use mcmc-sampling-stan for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.