convex-best-practices은(는) 무엇을 하나요?
프로덕션 준비를 마친 Convex 애플리케이션 구축을 위한 가이드라인: 함수 구성, 쿼리 패턴, 유효성 검사, TypeScript 사용법, 오류 처리, 그리고 Convex 설계 철학 (Zen of Convex) 을 다룹니다.
프로덕션 준비를 마친 Convex 애플리케이션 구축을 위한 가이드라인: 함수 구성, 쿼리 패턴, 유효성 검사, TypeScript 사용법, 오류 처리, 그리고 Convex 설계 철학 (Zen of Convex) 을 다룹니다.
이 스킬은 Convex 플랫폼으로 애플리케이션을 개발할 때 따라야 할 모범 사례를 종합적으로 제시합니다. 함수 구성, 쿼리 패턴, 입력 검증, TypeScript 활용법, 오류 처리 전략, 그리고 'Zen of Convex'라 불리는 설계 철학을 상세히 다루어, 프로덕션 환경에서도 안정적이고 유지보수하기 쉬운 Convex 앱을 만드는 것을 목표로 합니다. 주로 Claude AI 기반 코딩 어시스턴트(예: Claude Code, Cursor)와 함께 사용하도록 설계되었으며, 개발자가 Convex 프로젝트에서 일관된 코드 구조를 유지하고 일반적인 실수를 방지하는 데 도움을 줍니다. 이 가이드라인은 SKILL.md 문서 형태로 제공되어 AI가 맥락을 이해하고 적절한 코드와 패턴을 추천할 수 있도록 합니다.
npx skills add https://github.com/waynesutton/convexskills/tree/main/skills/convex-best-practices프로덕션 준비를 마친 Convex 애플리케이션 구축을 위한 가이드라인: 함수 구성, 쿼리 패턴, 유효성 검사, TypeScript 사용법, 오류 처리, 그리고 Convex 설계 철학 (Zen of Convex) 을 다룹니다.
This repo contains 13 individual skills — each has its own dedicated page.
Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.
Umbrella skill for all Convex development patterns. Routes to specific skills like convex-functions, convex-realtime, convex-agents, etc.
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management
Scheduled function patterns for background tasks including interval scheduling, cron expressions, job monitoring, retry strategies, and best practices for long-running tasks
Complete file handling including upload flows, serving files via URL, storing generated files from actions, deletion, and accessing file metadata from system tables
Writing queries, mutations, actions, and HTTP actions with proper argument validation, error handling, internal functions, and runtime considerations
External API integration and webhook handling including HTTP endpoint routing, request/response handling, authentication, CORS configuration, and webhook signature validation
Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns
Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
Deep security review patterns for authorization logic, data access boundaries, action isolation, rate limiting, and protecting sensitive operations
Quick security audit checklist covering authentication, function exposure, argument validation, row-level access control, and environment variable handling
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".