trpc-type-safety▌
bobmatnyc/claude-mpm-skills · updated Apr 8, 2026
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End-to-end type-safe APIs for TypeScript with zero code generation.
- ›Shares TypeScript types between client and server automatically—no codegen required, with full type inference across queries, mutations, and subscriptions
- ›Integrates seamlessly with React Query for caching, optimistic updates, and infinite queries; supports Next.js App Router, Server Components, and WebSocket subscriptions
- ›Validates all inputs with Zod schemas; includes middleware for authentication, logging, and rat
tRPC - End-to-End Type Safety
progressive_disclosure: entry_point: summary sections: - id: summary title: "tRPC Overview" tokens: 70 next: [when_to_use, quick_start] - id: when_to_use title: "When to Use tRPC" tokens: 150 next: [quick_start, core_concepts] - id: quick_start title: "Quick Start" tokens: 300 next: [core_concepts, router_definition] - id: core_concepts title: "Core Concepts" tokens: 400 next: [router_definition, procedures] - id: router_definition title: "Router Definition" tokens: 350 next: [procedures, context] - id: procedures title: "Procedures (Query & Mutation)" tokens: 400 next: [input_validation, context] - id: input_validation title: "Input Validation with Zod" tokens: 350 next: [context, middleware] - id: context title: "Context Management" tokens: 400 next: [middleware, error_handling] - id: middleware title: "Middleware" tokens: 400 next: [error_handling, client_setup] - id: error_handling title: "Error Handling" tokens: 350 next: [client_setup, react_integration] - id: client_setup title: "Client Setup" tokens: 400 next: [react_integration, nextjs_integration] - id: react_integration title: "React Query Integration" tokens: 450 next: [nextjs_integration, subscriptions] - id: nextjs_integration title: "Next.js App Router Integration" tokens: 500 next: [subscriptions, file_uploads] - id: subscriptions title: "Real-time Subscriptions" tokens: 400 next: [file_uploads, batching] - id: file_uploads title: "File Uploads" tokens: 300 next: [batching, typescript_inference] - id: batching title: "Batch Requests & Data Loaders" tokens: 350 next: [typescript_inference, testing] - id: typescript_inference title: "TypeScript Inference Patterns" tokens: 300 next: [testing, production_patterns] - id: testing title: "Testing Strategies" tokens: 400 next: [production_patterns, comparison] - id: production_patterns title: "Production Patterns" tokens: 450 next: [comparison, migration] - id: comparison title: "Comparison with REST & GraphQL" tokens: 250 next: [migration, best_practices] - id: migration title: "Migration from REST" tokens: 300 next: [best_practices] - id: best_practices title: "Best Practices & Performance" tokens: 400
Summary
tRPC enables end-to-end type safety between TypeScript clients and servers without code generation. Define your API once, get automatic type inference everywhere.
Key Benefits: Zero codegen, TypeScript inference, React Query integration, minimal boilerplate.
When to Use tRPC
✅ Perfect For:
- Full-stack TypeScript applications (Next.js, T3 stack)
- Projects where client and server share TypeScript codebase
- Teams wanting REST-like simplicity with GraphQL-like type safety
- Apps using React Query for data fetching
- Internal APIs where you control both client and server
❌ Avoid When:
- Public APIs consumed by non-TypeScript clients
- Microservices in different languages
- Mobile apps using Swift/Kotlin (use REST/GraphQL instead)
- Need API documentation for external developers (OpenAPI better)
When to Choose:
- tRPC: Full-stack TypeScript, monorepo, internal tools
- REST: Public APIs, language-agnostic, broad compatibility
- GraphQL: Complex data graphs, multiple clients, flexible queries
Quick Start
Installation
# Server dependencies
npm install @trpc/server zod
# React/Next.js client dependencies
npm install @trpc/client @trpc/react-query @tanstack/react-query
Define Router (Server)
// server/trpc.ts
import { initTRPC } from '@trpc/server';
import { z } from 'zod';
const t = initTRPC.create();
export const appRouter = t.router({
hello: t.procedure
.input(z.object({ name: z.string() }))
.query(({ input }) => {
return { greeting: `Hello ${input.name}` };
}),
createPost: t.procedure
.input(z.object({ title: z.string(), content: z.string() }))
.mutation(async ({ input }) => {
// Save to database
return { id: 1, ...input };
}),
});
export type AppRouter = typeof appRouter;
Use in Client (React)
// client/trpc.ts
import { createTRPCReact } from '@trpc/react-query';
import type { AppRouter } from '../server/trpc';
export const trpc = createTRPCReact<AppRouter>();
// Component
function MyComponent() {
const { data } = trpc.hello.useQuery({ name: 'World' });
const createPost = trpc.createPost.useMutation();
return <div>{data?.greeting}</div>; // Fully typed!
}
Next: Learn core concepts or dive into router definition.
Core Concepts
The tRPC Philosophy
tRPC provides type-safe remote procedure calls by sharing TypeScript types between client and server. No code generation—just TypeScript's inference.
Key Components
- Router: Collection of procedures (API endpoints)
- Procedure: Single API operation (query or mutation)
- Context: Request-scoped data (user, database, etc.)
- Middleware: Intercept/modify requests (auth, logging)
- Input/Output: Validated with Zod schemas
Type Flow
// Server defines types
const router = t.router({
getUser: t.procedure
.input(z.string())
.query(({ input }) => ({ id: input, name: 'Alice' })),
});
// Client gets automatic types
const user = await trpc.getUser.query('123');
// user is typed as { id: string, name: string }
Architecture Pattern
┌─────────────┐ Type-safe ┌──────────────┐
│ Client │ ←────────────────→ │ Server │
│ (React) │ No codegen! │ (Node.js) │
└─────────────┘ └──────────────┘
↓ ↓
React Query tRPC Router
(caching) (procedures)
Advantages:
- Changes propagate instantly (no build step)
- Rename refactoring works across client/server
- Impossible to call wrong types
- Auto-complete for all API methods
Router Definition
Basic Router Structure
import { initTRPC } from '@trpc/server';
const t = initTRPC.create();
export const appRouter = t.router({
// Procedures go here
});
export type AppRouter = typeof appRouter;
Nested Routers (Namespacing)
const userRouter = t.router({
getById: t.procedure
.input(z.string())
.query(({ input }) => getUser(input)),
create: t.procedure
.input(z.object({ name: z.string(), email: z.string() }))
.mutation(({ input }) => createUser(input)),
});
const postRouter = t.router({
list: t.procedure.query(() => getPosts()),
create: t.procedure
.inputhow to use trpc-type-safetyHow to use trpc-type-safety on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add trpc-type-safety
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill trpc-type-safetyThe skills CLI fetches trpc-type-safety from GitHub repository bobmatnyc/claude-mpm-skills and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/trpc-type-safetyReload or restart Cursor to activate trpc-type-safety. Access the skill through slash commands (e.g., /trpc-type-safety) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.7★★★★★66 reviews- ★★★★★Nia Choi· Dec 28, 2024
Useful defaults in trpc-type-safety — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ren Flores· Dec 24, 2024
trpc-type-safety is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ira Anderson· Dec 24, 2024
Solid pick for teams standardizing on skills: trpc-type-safety is focused, and the summary matches what you get after install.
- ★★★★★Hiroshi Brown· Dec 20, 2024
trpc-type-safety reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakura Jain· Dec 16, 2024
trpc-type-safety reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella Shah· Dec 16, 2024
Registry listing for trpc-type-safety matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Carlos Nasser· Dec 12, 2024
Solid pick for teams standardizing on skills: trpc-type-safety is focused, and the summary matches what you get after install.
- ★★★★★Soo Ramirez· Dec 12, 2024
I recommend trpc-type-safety for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Carlos Haddad· Nov 19, 2024
I recommend trpc-type-safety for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nia Rahman· Nov 15, 2024
Registry listing for trpc-type-safety matched our evaluation — installs cleanly and behaves as described in the markdown.
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