O que convex-best-practices faz?
Diretrizes para criar aplicativos Convex prontos para produção, abordando organização de funções, padrões de consulta, validação, uso de TypeScript, tratamento de erros e a filosofia de design Zen do Convex.
Diretrizes para criar aplicativos Convex prontos para produção, abordando organização de funções, padrões de consulta, validação, uso de TypeScript, tratamento de erros e a filosofia de design Zen do Convex.
Esta skill fornece um conjunto de práticas recomendadas para desenvolvedores que constroem aplicativos Convex, um backend serverless com banco de dados integrado. Ela cobre tópicos cruciais para produção, como organização de funções em queries, mutations e actions, padrões eficientes de consulta e validação de dados usando Zod ou TypeScript. A skill também destaca o uso de TypeScript para segurança de tipos, boas práticas de tratamento de erros com códigos de erro personalizados e a filosofia 'Zen of Convex', que enfatiza simplicidade, consistência e performance. Suportada pela plataforma Convex, ela é útil para desenvolvedores que desejam estruturar seus projetos de forma escalável e manter a qualidade do código, sendo aplicável a qualquer agente AI que interaja com a documentação do Convex.
npx skills add https://github.com/waynesutton/convexskills/tree/main/skills/convex-best-practicesDiretrizes para criar aplicativos Convex prontos para produção, abordando organização de funções, padrões de consulta, validação, uso de TypeScript, tratamento de erros e a filosofia de design Zen do Convex.
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".