Implements tRPC routers, procedures, and API endpoints for server applications.
npx skills add https://github.com/SmallAi-API/smaihub --skill trpc-router-smallai-api
Please help me install this Agent Skill. Skill: trpc-router Source: https://github.com/SmallAi-API/smaihub/tree/main/.agents/skills/trpc-router Command: npx skills add https://github.com/SmallAi-API/smaihub --skill trpc-router-smallai-api
{ data, success: true } return shapes. - Aggregated Detail Endpoints: Builds single detail procedures that fetch related data in parallel with Promise.all to avoid sequential client requests. - Use Case: When adding a new domain endpoint to the server, follow this guide to scaffold the router file, wire models through middleware, and return properly typed, error-handled responses. ## Quick Start Create a new tRPC router for the task domain following the conventions in this guide.High-intent search queries and answers about installing and using this skill.
Define a router with the router() function and add procedures using authedProcedure with zod input schemas. Use .query() for reads and .mutation() for writes, returning { data, success: true } for queries and { data, message, success: true } for mutations.
Chain middleware with authedProcedure.use(serverDatabase).use() and return models in opts.next({ ctx }) so procedures access them via ctx.fooModel. Avoid constructing new Model instances inside individual procedures unless a different userId is required.
Re-throw existing TRPCError instances directly, and wrap other errors with console.error using a [domain:procedure] log prefix plus a new TRPCError with code INTERNAL_SERVER_ERROR and the original error as cause.
Create a single aggregated detail procedure that fetches the main entity and related data in parallel using Promise.all. This returns one combined response instead of forcing the client to make N sequential requests.
Create models inline only when the procedure needs a different userId than the authenticated context, such as a watchdog iterating over multiple users' tasks. Otherwise always use middleware-injected models from ctx.
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