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Find an Agent Skill for your task. Read the guide and copy the install command.

Updated 11-05 00:16

Agents & models

25,653 results

model-ml-pipeline

Deterministic entry point for modeling. On a first landing, write the locked baseline design note and ask for approval. Later landings offer only the choices the workspace justifies (an EDA proposal, Backlog, discussion). A missing modeling lock loads `frame-ml-problem` and stops. After a design is approved, coordinate build (pytest smoke is a build sub-step), the user's Evaluate (Recommended) / Modify / Stop gate, evaluation, and audit. Not for a single action already owned by evaluate, audit, or smoke debugging.

Agents & models7 installs

setup-workspace

Detect an existing ML workspace or scaffold a fresh one via `python -m skore_skills scaffold --package <pkg>`. Cookiecutter only: directories, README.md files, and src/<pkg>/ stubs. After a first scaffold, turn executed notebooks and the documentation site on by default (no ask). TRIGGER for a new ML project layout or first scaffold. SKIP pipeline, evaluation, exploratory data analysis, and library choice. HOW TO USE: detect first. For a fresh or manager-only layout, resolve G-PKG-NAME via `AskUserQuestion` unless `policy.package` or `src/<pkg>/` already names it, then scaffold, then persist notebooks/site true when both are still unset. For an existing layout, stop without scaffolding or inventing files.

Agents & models7 installs