AI skills for Fastify
AI Coding Skills for Fastify
Browse the best AI coding skills for Fastify in 2026, TypeBox schemas, plugin scaffolding, OpenAPI generation, prisma + drizzle integration, and load testing. Works with every major AI coding tool.
Short answer
The best AI coding skills for Fastify are skills-hub's `code-review`, `unit-test` (Vitest + fastify.inject), `api-scaffold` (Fastify v5 + TypeBox), `api-docs` (OpenAPI 3.1), `db-schema` (Prisma / Drizzle), `secure`, and `load-test` (k6 / Artillery). All portable across major AI coding tools.
Fastify in 2026 means TypeBox schemas for validation, plugins-as-encapsulation, and OpenAPI 3.1 generation that actually matches the running code. The skills below detect your Fastify stack and emit idiomatic plugin patterns with proper hook ordering, decorators, and request/reply typing.
Top skills for Fastify
01api-docs
8 installsGenerate OpenAPI 3.1 documentation from your API codebase. Auto-detects Express, Fastify, NestJS, Django, FastAPI, Flask, Rails, Spring, Go, and more. Triggers: you need API documentation, OpenAPI spec, Swagger docs, endpoint reference, or REST API docs.
Docsfrom Skills Hub02contract-test
2 installsGenerate consumer-driven contract tests for APIs. Auto-detects framework (Express, Fastify, NestJS, Django, FastAPI, Go), selects Pact, OpenAPI validation, or schema snapshots, verifies backward compatibility, catches breaking changes before deploy, and configures CI verification..
Testfrom Skills Hub03migrate
Migrate between frameworks, libraries, or language versions — React class→hooks, JavaScript→TypeScript, Express→Fastify, and more. Preserves behavior with tests.
Build04fastify-typescript
Guidelines for building high-performance APIs with Fastify and TypeScript, covering validation, Prisma integration, and testing best practices
Buildfrom Mindrally Skills05nestjs-performance
Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections. Use when switching to Fastify, diagnosing request-scoped bottlenecks, or profiling API overhead.
Buildfrom Multi-Language Standards06adapter-fastify
Mount tRPC as a Fastify plugin with fastifyTRPCPlugin from @trpc/server/adapters/fastify. Configure prefix, trpcOptions (router, createContext, onError). Enable WebSocket subscriptions with useWSS and @fastify/websocket. Set routerOptions.maxParamLength for batch requests. Requires Fastify v5+. FastifyTRPCPluginOptions for type-safe onError. CreateFastifyContextOptions provides req, res.
Buildfrom tRPC
Frequently asked questions
Do AI skills handle Fastify's plugin pattern?
Yes, the api-scaffold skill emits FastifyPluginAsync + fastify-plugin wrapping where encapsulation is wrong, proper register order, and decorators with TypeScript module augmentation.
Can AI generate TypeBox + OpenAPI?
Yes. TypeBox schemas are emitted with proper Type.Object / Type.Union / Type.Literal calls, attached to route definitions as schema, and the api-docs skill derives OpenAPI 3.1 directly from them.
What's the best AI tool for Fastify?
Cursor and Claude Code both handle TypeScript backend work strongly. Fastify-specific routing patterns are well represented in skills-hub's catalog.
Do AI skills test Fastify with fastify.inject?
Yes. The unit-test skill detects Fastify and emits tests using fastify.inject() for fast in-process tests rather than booting a real HTTP server.