Agent skill · Documentation

pymc-bayesian-modeling

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

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: bundled/skills/pymc-bayesian-modeling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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 1. Use

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About this skill
What does the pymc-bayesian-modeling skill do?

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

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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