pymc-bayesian-modeling (Compatibility Alias)
SkillDev toolsLets your agent build statistical models with Python using the PyMC library.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the pymc-bayesian-modeling (Compatibility Alias) skill
About this skill
Compatibility alias for the descriptive PyMC skill name. Delegate to the canonical local `pymc` payload while preserving route and README compatibility.
What this skill tells your AI
The instructions your AI receives, as published by foryourhealth111-pixel/vibe-skills in bundled/skills/pymc-bayesian-modeling/SKILL.md and read by ahel’s review.
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-lockand catalog entries - route compatibility for callers that still ask for
pymc-bayesian-modeling
Resolution Order
- Use the canonical local
pymcskill 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.mdfor 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.
Signals
- GitHub stars
- 3k
- Forks
- 299
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
pymc-bayesian-modeling-2- Source
- github.com/foryourhealth111-pixel/vibe-skills