refactoring-09-performance-profiling
Use when profiling and making small performance improvements in Python research code.
浏览 Silviase 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
18收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。