Skill

Enforce typed network boundaries in React frontends

A frontend skill for a typed network boundary - one API client, parse-don't-validate, one error type, and branded IDs.

Works with reacttypescriptzod

74
Spark score
out of 100
Updated 28 days ago
Source checked Aug 24, 2026
Version 15.16.0

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Why it matters

Establish a single, type-safe API client layer that transforms untrusted wire JSON into validated domain types at the network edge, eliminating defensive null-checks throughout the application and catching contract drift at the boundary before it propagates into components.

Outcomes

What it gets done

01

Parse wire JSON into branded domain types using schemas at the fetch boundary

02

Normalize all HTTP failures into a single typed ApiError with machine codes

03

Prevent raw fetch calls outside the client with enforceable architectural rules

04

Brand domain identifiers so the compiler rejects mismatched ID types

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-frontend-data-contracts | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Frontend Data Contracts (typed network boundary)

This skill establishes a typed network boundary for React/React Native: one API client, schema-parsed responses, one normalized ApiError type, and branded domain IDs. Use it when establishing or auditing a React/React Native app's network boundary - the API client, response parsing, and error handling.

What it does

A portable, framework-agnostic frontend skill establishing type safety at the network edge of any React or React Native app - a companion to the frontend-architecture skill (the client lives in shared/api-client/) and the foundation frontend-optimistic-mutations builds on. Five core ideas: one typed apiClient is the only fetch boundary, so components and hooks never call fetch/axios directly (enforced via ESLint no-restricted-imports); parse-don't-validate turns wire JSON into trusted domain types at that one boundary via a schema library (Zod, Valibot, ArkType, or io-ts - the rule, not the library, is fixed), so downstream code never writes defensive ?. chains; one response envelope ({ data } on success, { error } on failure) is unwrapped once inside the client, so callers get a typed payload or a throw, never a raw envelope; one normalized ApiError type collapses every failure mode (server error envelope, non-2xx status, malformed body, network failure, abort) into a single shape carrying a machine code, HTTP status, optional per-field errors, and a stable i18n messageKey - never the raw server message shown to users; and domain identifiers are branded nominal types (InvoiceId, CustomerId) so the compiler rejects passing one ID type where another is expected, at zero runtime cost since brands erase at compile time. Side effects (toasts, redirects) live in the query layer's onError, not in the client itself, and per-field server errors map directly onto form-field errors. A library-adapter table shows where the client is called and where ApiError is handled across TanStack Query (queryFn/mutationFn plus onError), RTK Query (baseQuery wrapping the client plus transformErrorResponse), SWR (a fetcher function plus onError in SWRConfig), and plain fetch hooks for React Native, which needs the same client unchanged aside from possibly swapping cookie credentials for a token header depending on auth. A conventions checklist enforces all of this in review: one apiClient with no fetch/axios elsewhere, a framework-free client, boundary-only parsing, one envelope, one ApiError shape, branded IDs, and i18n-resolved error messages.

When to use - and when NOT to

Use it when establishing or auditing the network boundary of a React or React Native app - the single API client, response parsing, error normalization, and ID typing. It is a discipline at the network edge, not a state library or styling system.

Inputs and outputs

Given a backend endpoint and its response shape, it produces a typed client call, a schema-parsed domain type, and either the unwrapped data or a thrown ApiError with a code, status, and optional field errors - never an untyped or partially-validated value reaching a component.

Integrations

export const invoiceSchema = z.object({ id: z.string().transform(toInvoiceId), /* ... */ });

Pairs with any schema library (Zod, Valibot, ArkType, io-ts) for parsing and any data-fetching layer (TanStack Query, RTK Query, SWR, or plain fetch hooks) for calling the client and handling ApiError.

Who it's for

Frontend teams who want a single, enforceable typed boundary between the network and the app - no ad-hoc fetch calls, no untyped API responses drifting silently into components, and one consistent error shape to handle everywhere instead of catching a different failure mode per call site.

FAQ

Common questions

Discussion

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