sce

Statistical Context Engineering algorithm implementation and verification. Use when verifying code against paper equations, checking cross-fitting logic, auditing for leakage, reviewing Algorithm 1, or debugging statistical computations. Triggers include cross-fitting, leakage, equations, paper, algorithm, phi, context operator, variance reduction, out-of-fold.

CI pipeline for auto-generating documentation and architecture diagrams. Use when setting up CI, generating diagrams, updating README automatically, or validating metadata. Triggers include CI, auto-generate, diagram, Mermaid, dependency graph, architecture.

Productionalize R&D ML projects with the craft of an experienced engineer. Use when: "wrap up my ML project", "make this production ready", "productionalize", "I need to ship this model", "prepare for release", "add tests to my pipeline", "make my code look professional", "this needs to not look AI-generated", "review my ML code", "make this reproducible". Covers testing, reproducibility, documentation, code quality, and release prep.

ICML 2025 paper visuals, figures, and LaTeX tables. Use when generating figures, formatting tables, or preparing appendix materials. Triggers include figure, M1, M2, M3, publication, LaTeX, consolidated, ICML, paper.

SCE dataset management, loading, and anonymization. Use when loading datasets, anonymizing sources, managing parquet files, choosing storage strategy, or validating checksums. Triggers include dataset, parquet, download, anonymize, checksums, Hugging Face.

SCE Python library architecture and coding standards. Use when creating new modules, refactoring code, checking dependencies, defining module responsibilities, or writing module headers. Triggers include module, architecture, dependency, imports, engine.py, pipeline.py, meta.py, component.