# Pymc Bayesian Modeling

> Compatibility alias for the descriptive PyMC skill name. Delegate to the canonical local `pymc` payload while preserving route and README compatibility.

- Skill: `majiayu000/pymc-bayesian-modeling` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/pymc-bayesian-modeling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/pymc-bayesian-modeling/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/pymc-bayesian-modeling

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# pymc-bayesian-modeling (Compatibility Alias)

## Purpose

Provide a stable descriptive alias for Bayesian modeling workflows that are
canonically maintained under the sibling `pymc` skill directory.

This preserves:

- README-facing descriptive naming
- existing `skills-lock` and catalog entries
- route compatibility for callers that still ask for `pymc-bayesian-modeling`

## Resolution Order

1. Use the canonical local `pymc` skill payload first.
2. Reuse its assets, references, and scripts:
   - `../pymc/SKILL.md`
   - `../pymc/assets/**`
   - `../pymc/references/**`
   - `../pymc/scripts/**`
3. Keep this alias thin and free of its own duplicated heavy payload.

## Minimal Workflow

1. Read `../pymc/SKILL.md` for the full PyMC workflow.
2. Use the canonical templates and diagnostic scripts from `../pymc/`.
3. Report results under the requested alias name only for user-facing continuity.