Vibe-Skills pymc-bayesian-modeling

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

install

source · Clone the upstream repo

git clone https://github.com/foryourhealth111-pixel/Vibe-Skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/pymc-bayesian-modeling" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-pymc-bayesian-modeling && rm -rf "$T"

manifest: bundled/skills/pymc-bayesian-modeling/SKILL.md

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

Use the canonical local
```
pymc
```
skill payload first.

Reuse its assets, references, and scripts:

```
../pymc/SKILL.md
```
```
../pymc/assets/**
```
```
../pymc/references/**
```
```
../pymc/scripts/**
```

Keep this alias thin and free of its own duplicated heavy payload.

Minimal Workflow

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