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Review code changes for unnecessary complexity, including unused flexibility, avoidable dependencies, and abstractions with little purpose. Receive concise findings that name what to remove, what can replace it, and how many lines could be cut.
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Kubernetes is the operating system for the cloud. It schedules containers, handles networking, manages storage, and keeps your apps running. But K8s has a steep learning curve - abstractions on abstractions on abstractions. This skill covers the core concepts (Pods, Deployments, Services), production patterns (health checks, resource limits, HPA), and the gotchas that catch everyone (namespace confusion, service discovery, secret management). 2025 reality: You probably don't need to run your own cluster. Use managed K8s (EKS, GKE, AKS) unless you have a very good reason not to. Focus on writing good manifests, not managing etcd. Use when "kubernetes, k8s, kubectl, deployment manifest, helm chart, kustomize, pod, service yaml, ingress, horizontal pod autoscaler, hpa, kubernetes, k8s, containers, orchestration, devops, cloud-native, helm, kustomize" mentioned.
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Specialized skill for testing file system operations using System.IO.Abstractions. Use when you need to test File, Directory, Path operations, or simulate file system. Covers IFileSystem, MockFileSystem, file read/write testing, directory operation testing, etc. Keywords: file testing, filesystem, file testing, file system testing, IFileSystem, MockFileSystem, System.IO.Abstractions, File.ReadAllText, File.WriteAllText, Directory.CreateDirectory, Path.Combine, mock file system, file abstraction
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Keep implementation small by checking whether work is needed, then considering existing code, standard libraries, platform features, and installed dependencies. Helps avoid unnecessary packages, helper classes, and boilerplate before writing new code.
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Write, review, and debug Rust applications, including ownership and borrowing rules that govern memory use. Covers trait-based APIs, explicit error handling, asynchronous work with tokio, and tests with Cargo validation.
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Review architecture changes in Apache Pinot, focusing on module dependencies, extension interfaces, abstractions, and class placement. Use it to examine changes that cross module boundaries or introduce new plugins and interfaces.
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Make C# code testable when it directly uses static services such as time, files, or processes. It introduces existing abstractions or minimal wrappers, supplies dependency registration, and demonstrates tests with controlled substitutes for real resources.
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Replace C# static calls for time, files, or environment values with existing abstractions that tests can substitute. Update construction and affected tests within a defined scope, while preserving read counts, evaluation order, date-time semantics, and existing static callers.
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You are an expert in @react-three/drei, the companion library for React Three Fiber that provides 100+ ready-made components and hooks for common 3D patterns. You help developers add orbit controls, environment maps, text rendering, HTML overlays, loaders, performance utilities, shaders, and abstractions — eliminating boilerplate and letting teams focus on creative work instead of Three.js plumbing.
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Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.
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Cross-platform desktop development for macOS and Windows -- platform abstractions, UI convention differences, and multi-platform CI/CD. Activate on: cross-platform app, macOS and Windows, platform differences, DMG installer, MSI installer, NSIS installer, Cmd vs Ctrl, platform abstractions, menu bar differences, native conventions. NOT for: mobile apps, web-only apps, Tauri-specific internals (use rust-tauri-development).
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Cross-platform desktop development for macOS and Windows -- platform abstractions, UI convention differences, and multi-platform CI/CD. Activate on: cross-platform app, macOS and Windows, platform differences, DMG installer, MSI installer, NSIS installer, Cmd vs Ctrl, platform abstractions, menu bar differences, native conventions. NOT for: mobile apps, web-only apps, Tauri-specific internals (use rust-tauri-development).
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Detects leaky abstractions in PHP code. Identifies implementation details exposed in interfaces, concrete returns from abstract methods, framework leakage into domain, and infrastructure concerns in application layer.
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先确认开发需求涉及的修改范围，再优先使用现有代码、标准功能和已安装依赖，以最小实现完整解决问题，并重视相关位置的修复、必要测试和简短报告。
将使用Claude Sonnet 4.0、Sonnet 4.5或Opus 4.1的代码及API配置迁移至Opus 4.5，并按需调整提示词。
在保持行为不变的前提下，整理深层条件分支、长函数、重复逻辑和含糊命名。先检查现有规范与测试，再以可读性为标准逐步修改。
检查未使用代码、重复状态及冗余API和层级，依据证据整理删除或合并候选项。可仅开展调查，也可在获准范围内实施修改并验证保留的功能。
从实际问题、现有系统及具体使用方出发评估功能或迁移方案，确定必要范围，梳理影响和验证方法，并在收到实施请求后修改和检查结果。
帮助设计处理命令输出的RTK Rust模块，通过代码示例和适用条件，选择用于防止类型混淆、组织配置、管理解析状态等任务的设计模式，并避免不必要的抽象。
检查RTK的Rust代码，精简冗长循环、字符串处理、不必要的复制和过度设计，在保持行为不变的同时，保留错误处理、回退和退出码等必需逻辑。
Investigate Cherry Studio code to identify unused behavior, duplicated state, and unnecessary abstractions. Turn a few well-supported findings into cleanup proposals that document current consumers, removal scope, risks, and observable acceptance criteria.
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Design and refactor Python components with clear responsibilities and simple structure. Assess when to split large classes, combine objects instead of extending them, and extract shared code without introducing unnecessary abstractions.
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Set up model training with torchforge for reinforcement learning, where rewards guide improvement. Covers training configurations, custom reward and loss functions, and distributed execution with Monarch and TorchTitan, keeping algorithm experiments separate from infrastructure concerns.
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Audit an entire codebase for unnecessary complexity and dependencies. Receive a ranked list of code to delete, simplify, or replace with standard library and platform features, with file paths and estimated reductions.
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