refactoring-09-performance-profiling
Use when profiling and making small performance improvements in Python research code.
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18Repository stars across indexed skills
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Use when profiling and making small performance improvements in Python research code.
Use when creating or updating docs/plan.md, docs/tasks.md, or docs/progress.md, or when asked about plan/todo/progress and next steps.
Use when doing a quick preflight to assess scope, risks, and priorities for Python research code refactoring.
Use when checking for data leaks, PII handling, and license risks in Python research code.
Use when standardizing Python research code dependencies, environment setup, and lockfiles.
Use when adding lightweight data versioning and dataset reproducibility practices.
Use when running or explaining uv or ty commands, managing dependencies/lockfiles/virtualenvs, or running Python in this repo.
Use when adding formatting, linting, and type checking to Python research code.
Use when improving data loading, validation, and IO boundaries in Python research code.
Deprecated. Use basic_git_standard_ops for git and gh workflows in this repo.
Bootstrap a new Python project using the OCREvaluation default layout and toolchain (uv, ruff, ty, pre-commit). Use when asked to scaffold a new Python repo, initialize standard folders, or set up uv/ruff/ty/pr...
Use when improving run configuration, seeding, and reproducibility for Python research code.
Use when documenting Python research code usage, setup, and experiment reproduction.
Use when organizing experiment logs, results, and metadata for Python research code.
Use when refactoring Python research code to improve project structure, modularity, and entrypoints.
Use when adding tests and regression checks for Python research code.
Use for routine git operations in this repo (status, diff, checks, staging, commit, push) and GitHub actions via gh.
Use when adding minimal CI automation for lint, tests, and type checks in Python research code.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.