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Found 484 Skills
Rust project implementation guide for multi-crate workspace projects. Covers workspace config, toolchain (nightly + rustfmt + clippy + cranky + cargo-deny), strict lint rules (no unsafe/unwrap/expect/panic), error handling (thiserror + anyhow), async runtime (Tokio), TLS (rustls + aws-lc-rs), CI/CD (GitHub Actions with test/build/docker/SBOM), and coding conventions. Use when scaffolding, developing, or reviewing Rust applications.
Search Zhihu (知乎) using agent-browser with proper authentication handling. Use when user asks to "search zhihu", "知乎搜索", "在知乎上找", or any Zhihu-related search requests. Handles login requirements, session persistence, and common error cases like 40362 restrictions.
Use when designing, planning, implementing, or reviewing any non-trivial change — enforces graceful degradation, proper error handling, retry strategies, and fault-tolerant patterns so systems stay up when things go wrong
Expert in Prisma ORM with type-safe database operations and schema design
Use when designing domain error handling. Keywords: domain error, error categorization, recovery strategy, retry, fallback, domain error hierarchy, user-facing vs internal errors, error code design, circuit breaker, graceful degradation, resilience, error context, backoff, retry with backoff, error recovery, transient vs permanent error, 领域错误, 错误分类, 恢复策略, 重试, 熔断器, 优雅降级
Nuxt 4 core framework fundamentals: project setup, configuration, routing, SEO, error handling, and directory structure. Use when: creating new Nuxt 4 projects, configuring nuxt.config.ts, setting up routing and middleware, implementing SEO with useHead/useSeoMeta, handling errors with error.vue and NuxtErrorBoundary, or understanding Nuxt 4 directory structure. Keywords: Nuxt 4, nuxt.config.ts, file-based routing, pages directory, definePageMeta, useHead, useSeoMeta, error.vue, NuxtErrorBoundary, middleware, navigateTo, NuxtLink, app directory, runtime config
Expert in making multi-agent systems resilient. Specializes in detecting loops, hallucinations, and failures, and implementing self-healing workflows. Use when designing error handling for agent systems, implementing retry strategies, or building resilient AI workflows.
Comprehensive n8n workflow testing including execution lifecycle, node connection patterns, data flow validation, and error handling strategies. Use when testing n8n workflow automation applications.
React/Next.js 앱의 에러를 진단하고 디버깅하는 스킬. Error Boundary, 에러 추적, 일반적인 React/Next.js 에러 해결, 런타임 디버깅 등. "디버깅", "debug", "에러", "error", "버그", "안돼", "오류", "트러블슈팅" 등의 요청 시 사용.
This skill provides comprehensive knowledge for building type-safe APIs with Hono, focusing on routing patterns, middleware composition, request validation, RPC client/server patterns, error handling, and context management. Use when: building APIs with Hono (any runtime), setting up request validation with Zod/Valibot/Typia/ArkType validators, creating type-safe RPC client/server communication, implementing custom middleware, handling errors with HTTPException, extending Hono context with custom variables, or encountering middleware type inference issues, validation hook confusion, or RPC performance problems. Keywords: hono, hono routing, hono middleware, hono rpc, hono validator, zod validator, valibot validator, type-safe api, hono context, hono error handling, HTTPException, c.req.valid, middleware composition, hono hooks, typed routes, hono client, middleware response not typed, hono validation failed, hono rpc type inference
Comprehensive Ruby development skill covering language fundamentals, object-oriented design patterns, error handling strategies, performance optimization, modern Ruby 3.x features (pattern matching, ractors, typed Ruby), testing patterns, metaprogramming, concurrency, and Rails-specific best practices. Use when writing Ruby code, refactoring, implementing design patterns, handling exceptions, optimizing performance, writing tests, or applying Ruby idioms and conventions.
Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).