python-development
Use when writing Python code for clean, performant, and idiomatic implementations
浏览 trash-panda-v91-beta 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
20收录技能的仓库 Stars 合计
18仓库 Forks
0平均每个技能的仓库 Stars
1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 writing Python code for clean, performant, and idiomatic implementations
Use when designing test strategies, implementing test automation, or establishing QA processes
Use before marking any task complete to ensure all requirements are met
Use when managing Git branches, creating commits, or preparing pull requests
Use before invoking Oracle to ensure appropriate usage of this expensive reasoning resource
Use when encountering any bug, test failure, or unexpected behavior before proposing fixes
Use when designing multi-cloud infrastructure, CI/CD pipelines, or Kubernetes deployment strategies
Use when developing applications for AWS cloud platform with best practices and cost optimization
Use when researching unfamiliar code, multiple modules involved, or external libraries referenced
Use when writing Nix code for flakes, modules, or packages
Use when touching frontend files to classify visual vs logic changes before acting
Use when writing Rust code for memory safety, performance, and systems programming
Use when reviewing code for architectural consistency, designing backend systems, or evaluating structural changes
Use when starting open-ended tasks in unfamiliar codebases, before following existing patterns
Use when optimizing performance, profiling bottlenecks, or architecting for scale
Use when implementing any feature or bugfix before writing implementation code
Use when reviewing code for quality, security vulnerabilities, and best practices
Use when writing SQL queries, optimizing database performance, or analyzing data
Use when designing cloud infrastructure, CI/CD pipelines, or deployment strategies
Use when designing test strategies, implementing test automation, or optimizing performance
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。