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Learn how to work in the current folder (repository)
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/pymc-labs/pymc-marketing --skill work-in-repoThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Media Mix Modeling with PyMC-Marketing. Use when building MMMs, specifying adstock/saturation transformations, setting priors, fitting multidimensional (geo-level) models, computing channel contributions, ROAS, running budget optimization, calibrating with lift tests, or performing sensitivity analysis. Covers the MMM class, GeometricAdstock, LogisticSaturation, BudgetOptimizerWrapper, and ArviZ diagnostics for marketing models.
Fixing and validating Jupyter notebooks in pymc-marketing. Use when notebooks fail CI, need arviz_plots 2.x migration fixes, or when source code changes require notebook output updates.
PyMC-Marketing coding conventions, preferred implementations, and style guidelines.
Showing SKILL.md
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| name | work-in-repo |
| description | Learn how to work in the current folder (repository) |
The current folder is the github repository of pymc-labs for pymc-marketing.
If the user ask you to build something then:
uv sync to set up the environment.brew install gh (macOS) or follow https://github.com/cli/cli#installationuv run for all Python commands within the project.