probabl-ai/skills
14 skills
$npx skills add probabl-ai/skillsSkillInstalls
audit-ml-pipelineOwns the `audit/` folder: one `# %%` (jupytext percent) Python file per experiment, aligned 1:1 with `experiments/NN_<short_name>.py` and…build-ml-pipelineDeclare the pipeline from data source to predictor as a **skrub DataOps graph** (not as a bare `sklearn.Pipeline`).data-science-python-stackOpinionated Python stack for data-science / ML work — one library per job, organized into tiers (mandatory / user choice / optional / transitive).evaluate-ml-pipelineMethodology for evaluating a single sklearn-compatible learner (in particular, the `SkrubLearner` produced by `build-ml-pipeline`).explore-ml-dataOwns data understanding BEFORE any model is designed. Places and executes `data/eda.py` (a jupytext `# %%` script) via the shared in-process runner, reads the…iterate-from-skoreSource the next ML experiment proposal by **reading the audit digest** at `scratch/audit/<stem>/audit.md` (produced by `audit-ml-pipeline` at § 4…iterate-from-userSource the next ML experiment proposal from the user via one of three entry points selected by `AskUserQuestion`: (a) a scientific article URL the agent must…iterate-ml-experimentOwns the iteration loop on top of an ML workspace: the `journal/JOURNAL.md` index and the per-experiment `journal/NN_short_name.md` design notes that must be…organize-ml-workspaceDecide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes +…python-apiLook up the public API of a Python package against the *installed version* and cache what's worth keeping.python-code-styleOwns Python code style for this stack: ruff for lint + format, numpydoc for docstrings.python-env-managerSingle source of truth for "which Python environment manager does this project use, and how do I install a package with it?".smoke-test-ml-pipelineOwns the smoke test contract for an ML experiment: a small, diagnostic-by-construction pytest that fits the experiment's learner on a portion of the real…test-ml-pipelineOwns the `tests/` folder of an ML workspace and the pairing rule between an experiment and its tests.