Python · probabl-ai/skills

Add a Python dependency through the project env manager, or ask the user to install it when env.managed is false.

probabl-ai/skills

Declare the pipeline from data source to predictor as a skrub DataOps graph.

probabl-ai/skills

Evaluate one learner with skore.evaluate. An agent skill from probabl-ai/skills.

probabl-ai/skills

Record the problem, the deployment setting, the comparison metric, the baseline, and the fold count in the journal before model code.

probabl-ai/skills

Detect an existing ML workspace or scaffold a fresh one via python -m skoreskills scaffold --package <pkg.

probabl-ai/skills

Owns data understanding before any model is designed. An agent skill from probabl-ai/skills.

probabl-ai/skills

Write a jupytext percent %% Python file out as an .ipynb. An agent skill from probabl-ai/skills.

probabl-ai/skills

Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.

probabl-ai/skills

Owns one experiment's smoke test: a small pytest that fits on part of real data/ and predicts on a disjoint slice with no pre-history buffer.

probabl-ai/skills

Resolve a genuine choice between Python libraries for one job, then ask add-python-package to add the chosen dependency.

probabl-ai/skills

Package JOURNAL, exploratory data analysis markdown, and design notes into an offline MkDocs site opened via report.html at the workspace root.

probabl-ai/skills

Persist the current loop stage with the real git CLI when the end-turn hook says invoke.

probabl-ai/skills