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Found 56 Skills
Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, function naming, type naming, 命名规范, 代码风格, 格式化, 最佳实践, 代码审查, 怎么命名
Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.
Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
Core software engineering principles for code style, documentation, and development workflow. Applies when editing code, working in software repositories, or performing software development tasks.
Go naming conventions for packages, functions, methods, variables, constants, and receivers from Google and Uber style guides. Use when naming any identifier in Go code—choosing names for types, functions, methods, variables, constants, or packages—to ensure clarity, consistency, and idiomatic style.
Embedded C Code Style Assistant, based on the code specifications of 51 MCU teaching projects. Uses snake_case as the default naming convention, with camelCase as an option. It is used to create project structures that comply with embedded development specifications, optimize code style, and provide hardware driver templates. Suitable for embedded C project development such as 51 MCU and STM32.
Use when adding interactive code examples to React docs.
General best practices for Dart development. Covers code style, effective Dart, and language features.
Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)
Guidance on Python code style optimization and Pythonic idioms; Based on the complete content of *One Python Craftsman* and the "Friendly Python" concept, covering variable naming, control flow, data types, container types, function design, exception handling, decorators, file operations, and SOLID principles; Providing user-friendly and maintainer-friendly design patterns, review checklists, and over 140 practical templates
Convenciones de formato: framework Diátaxis, español/LATAM, estilos de código, Conventional Commits.
Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.