PR To Green
pymc-labs/CausalPy
Bring a pull request to green by syncing with main, resolving conflicts safely, and fixing failing checks with CausalPy conventions.
Compatibility alias for the descriptive PyMC skill name. An agent skill from foryourhealth111-pixel/Vibe-Skills.
Install Pymc Bayesian Modeling
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modeling --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .claude/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .claude/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modelingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .agents/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .agents/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .cursor/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .cursor/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/foryourhealth111-pixel/Vibe-Skills.git --path bundled/skills/pymc-bayesian-modeling--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .gemini/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .gemini/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modelingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .github/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .github/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills pymc-bayesian-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/bundled/skills/pymc-bayesian-modeling .opencode/skills/pymc-bayesian-modeling && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pymc-bayesian-modeling" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/pymc-bayesian-modeling into .opencode/skills/pymc-bayesian-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pymc-bayesian-modeling", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
pymc-bayesian-modeling- GitHub stars
- 3.6k
- Token cost
- ~277 tokens
- SKILL.md length
- 109 words
- Files
- 1
- Skills in repo
- 81
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Compatibility alias for the descriptive PyMC skill name. An agent skill from foryourhealth111-pixel/Vibe-Skills.
- Works in 3 steps: Use the canonical local pymc skill… → Reuse its assets, references, and scripts → Keep this alias thin and free of its own…
- Development work in your project
- SKILL.md covers Purpose, Resolution Order and Minimal Workflow
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Pymc Bayesian Modeling is an agent skill from foryourhealth111-pixel/Vibe-Skills. Compatibility alias for the descriptive PyMC skill name. Delegate to the canonical local pymc payload while preserving route and README compatibility.
Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development. It works with PyMC. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.
When your agent uses it
- Development work in your project
Example prompts
- “/pymc-bayesian-modeling”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Use the canonical local pymc skill payload first.
- Reuse its assets, references, and scripts
- Keep this alias thin and free of its own duplicated heavy payload.
What it can do on your machine
Read from SKILL.md and the folder at commit ddcaa2a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Pymc Bayesian Modeling loads about 277 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 109 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 109 words, ~277 tokens.
Download SKILL.mdSave it as
.claude/skills/pymc-bayesian-modeling/SKILL.md (or your agent's skills folder).- name
- pymc-bayesian-modeling
- description
- Compatibility alias for the descriptive PyMC skill name. Delegate to the canonical local `pymc` payload while preserving route and README compatibility.
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-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.
© foryourhealth111-pixel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in bundled/skills/pymc-bayesian-modeling of foryourhealth111-pixel/Vibe-Skills.
Open the folder on GitHubat commit ddcaa2a
Compare with similar skills
Pymc Bayesian Modeling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pymc Bayesian Modeling this skillforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~277 | Automated safety check: Pass | Apache-2.0 | |
| PR To Greenpymc-labs/CausalPy | 1.2k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 |
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Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Typescript Advanced Types
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
PR Babysitter
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Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
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Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
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Related
Works with
Categories
Questions about Pymc Bayesian Modeling
What does Pymc Bayesian Modeling do?
Compatibility alias for the descriptive PyMC skill name. An agent skill from foryourhealth111-pixel/Vibe-Skills. Pymc Bayesian Modeling is an agent skill from foryourhealth111-pixel/Vibe-Skills. Compatibility alias for the descriptive PyMC skill name.
When should I use Pymc Bayesian Modeling?
Pymc Bayesian Modeling fits situations like: development work in your project.
How do I install Pymc Bayesian Modeling in Claude Code?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a claude-code`. Or copy the skill folder (bundled/skills/pymc-bayesian-modeling in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/pymc-bayesian-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Pymc Bayesian Modeling in Codex?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a codex`. Or copy the skill folder (bundled/skills/pymc-bayesian-modeling in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/pymc-bayesian-modeling in your project. Codex loads it when a task matches its description.
Can I use Pymc Bayesian Modeling in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymc-bayesian-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pymc-bayesian-modeling, .gemini/skills/pymc-bayesian-modeling, .github/skills/pymc-bayesian-modeling and .opencode/skills/pymc-bayesian-modeling in your project.
What does Pymc Bayesian Modeling need to run?
SKILL.md names no scripts, command-line tools or credentials: Pymc Bayesian Modeling is instructions for the agent only.
Does Pymc Bayesian Modeling access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Pymc Bayesian Modeling safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Pymc Bayesian Modeling use?
Pymc Bayesian Modeling is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Pymc Bayesian Modeling use?
About 277 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Pymc Bayesian Modeling?
Skills that share tags, products or a category with Pymc Bayesian Modeling: PR To Green (pymc-labs/CausalPy, 1.2k stars), Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars) and Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pymc Bayesian Modeling?
foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.
Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.