Structured workflow for profiling and optimizing Python code — CPU hotspots, memory usage, and benchmark-driven validation. Use this skill whenever the user asks to make Python code faster, reduce memory usage, profile performance, find bottlenecks, optimize hot paths, reduce allocations, or investigate why something…
Methodology and tooling for porting a Python 2.7 codebase to Python 3 while the team keeps shipping: choosing the target version, dependency strategy, phased workflow with CI gates, agent loops for the mechanical and the judgment work, staged rollout and rollback. Use this skill whenever the user mentions Python 2…
Proof-driven workflow for deleting dead code and unused dependencies in any language without breaking production: unused imports, unreachable branches, unreferenced functions and classes, whole modules, unhit endpoints and jobs, unused packages. Use this skill whenever the user wants to remove dead code, asks "is this…
Python static typing with mypy, pyright, basedpyright and ty. Use when a task touches type annotations or type-checker output: fixing checker errors, making several checkers agree, typing dynamic code (decorators, descriptors, metaclasses, overloads, Protocols, TypedDict), adding or removing # type: ignore / pyright…
Use when refactoring or modernizing existing Python code without changing behavior: splitting a long function or module, removing drifted duplication, isolating I/O behind a port to make code testable, replacing Java-style classes with idiomatic Python, or judging whether an interface is over-engineering. Triggers…
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originalMIT
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