调试
定位并修复问题，分析错误
setup
fcakyon
This skill should be used when user encounters "ADC not found", "gcloud auth error", "GCloud MCP error", "Application Default Credentials", "project not set", or needs help configuring GCloud integration.
setup
fcakyon
This skill should be used when user encounters "Supabase MCP error", "Supabase auth failed", "Supabase OAuth error", "Supabase not working", or needs help configuring Supabase integration.
gcloud-usage
fcakyon
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
karpathy-guidelines
multica-ai
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
coding-principles
shinpr
Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.
m15-anti-pattern
actionbook
"Use when reviewing code for anti-patterns. Keywords: anti-pattern, common mistake, pitfall, code smell, bad practice, code review, is this an anti-pattern, better way to do this, common mistake to avoid, why is this bad, idiomatic way, beginner mistake, fighting borrow checker, clone everywhere, unwrap in production, should I refactor, 反模式, 常见错误, 代码异味, 最佳实践, 地道写法"
m05-type-driven
actionbook
"CRITICAL: Use for type-driven design. Triggers: type state, PhantomData, newtype, marker trait, builder pattern, make invalid states unrepresentable, compile-time validation, sealed trait, ZST, 类型状态, 新类型模式, 类型驱动设计"
unsafe-checker
actionbook
"CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, undefined behavior, UB, safe wrapper, memory layout, bindgen, cbindgen, CString, CStr, 安全抽象, 裸指针, 外部函数接口, 内存布局, 不安全代码, FFI 绑定, 未定义行为"
domain-cli
actionbook
"Use when building CLI tools. Keywords: CLI, command line, terminal, clap, structopt, argument parsing, subcommand, interactive, TUI, ratatui, crossterm, indicatif, progress bar, colored output, shell completion, config file, environment variable, 命令行, 终端应用, 参数解析"
domain-cloud-native
actionbook
"Use when building cloud-native apps. Keywords: kubernetes, k8s, docker, container, grpc, tonic, microservice, service mesh, observability, tracing, metrics, health check, cloud, deployment, 云原生, 微服务, 容器"
m09-domain
actionbook
"CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则"
debug-optimize-lcp
ChromeDevTools
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions "largest contentful paint", "page load speed", "CWV", or wants to improve how fast their hero image or main content renders.
helm-chart-generator
jeremylongshore
Generate helm chart generator operations. Auto-activating skill for DevOps Advanced. Triggers on: helm chart generator, helm chart generator Part of the DevOps Advanced skill category. Use when working with helm chart generator functionality. Trigger with phrases like "helm chart generator", "helm generator", "helm".
gitignore-generator
jeremylongshore
Generate gitignore generator operations. Auto-activating skill for DevOps Basics. Triggers on: gitignore generator, gitignore generator Part of the DevOps Basics skill category. Use when working with gitignore generator functionality. Trigger with phrases like "gitignore generator", "gitignore generator", "gitignore".
m14-mental-model
actionbook
"Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust"
Debugging Expert
HoangNguyen0403
Systematic troubleshooting using the Scientific Method (Observe, Hypothesize, Experiment, Fix).
debug-systematic
travisjneuman
Systematic 4-phase debugging methodology for complex, intermittent, or mysterious issues. Use when investigating bugs, race conditions, or unexplained failures.
accessibility-a11y
travisjneuman
WCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen readers, automated testing
servicing-pr
dotnet
'Create EF Core PRs targeting servicing release branches (release/*). Use when working on a PR that targets a release branch, backporting a fix from main, or when the user mentions servicing, patch, or release branch.'
analyzers
dotnet
'Implementation details for EF Core Roslyn analyzers. Use when changing analyzers, fix providers, or diagnostic suppressors.'
devtu-optimize-skills
mims-harvard
Optimize ToolUniverse skills for better report quality, evidence handling, and user experience. Apply patterns like tool verification, foundation data layers, disambiguation-first, evidence grading, quantified completeness, and report-only output. Use when reviewing skills, improving existing skills, or creating new ToolUniverse research skills.
behavioral-modes
davila7
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
autonomous-agents
davila7
"Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b"
dispatching-parallel-agents
davila7
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies