Skill

Encode GraphQL schema patterns into reusable Claude skills

A skill for GraphQL query/mutation patterns with Apollo Client - generated hooks, codegen, and mandatory error handling.

Works with githubjiralineargraphqltypescript

48
Spark score
out of 100
Updated 25 days ago
Source checked Aug 26, 2026
Version 16.1.0

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Why it matters

Teach Claude Code your team's GraphQL schema conventions, mutation patterns, and type safety standards so it generates schema definitions, resolvers, and queries that match your existing codebase architecture without manual correction.

Outcomes

What it gets done

01

Document GraphQL schema structure conventions (types, inputs, mutations, queries)

02

Define resolver patterns and error handling standards for GraphQL operations

03

Specify type safety rules and nullable field conventions for schema design

04

Establish naming patterns for GraphQL entities, fields, and operation signatures

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-graphql-schema | 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

GraphQL Schema Patterns

This skill covers GraphQL query and mutation patterns with Apollo Client: .gql files and codegen, generated hooks, mandatory mutation error/loading handling, fetch policies, and optimistic updates. Use it when creating GraphQL operations, working with Apollo Client, or generating types from a GraphQL schema.

What it does

A skill for GraphQL query/mutation patterns and code generation with Apollo Client. Four core rules: never write inline gql template literals - create .gql files instead; always run codegen after creating or modifying a .gql file; always attach an onError handler to mutations; and always use the generated hooks, never raw Apollo useQuery/useMutation. Queries follow a three-step flow: write a .gql file (e.g. GetItems.gql with typed variables), run npm run gql:typegen to produce a GetItems.generated.ts (never hand-edited), then import and use the generated useGetItemsQuery hook, checking error/loading/empty states explicitly before rendering data. Mutations follow the same flow but every trigger must meet four requirements: disabled during the mutation (prevents double-clicks), a visible loading state, a required onError handler so the user knows about failure, and success feedback on completion - shown via a documented complete pattern combining isDisabled/isLoading on the button with onError and onCompleted toasts. Query options cover four fetch policies (cache-first for rarely-changing data, cache-and-network as the fast-plus-fresh default, network-only for always-latest data, no-cache for the rare case of never caching) plus common options like notifyOnNetworkStatusChange, skip for conditional queries, and pollInterval for periodic refetching. Optimistic updates provide instant UI feedback via optimisticResponse, with automatic rollback on error - but are explicitly not for operations that can fail validation, have server-generated values, are destructive (delete), or affect other users. Reusable field selections use named fragments (e.g. a shared ItemFields fragment spread into multiple queries). Documented anti-patterns show the wrong-vs-right side by side: inline gql instead of a generated hook, a mutation with no error handler, and a submit button that stays enabled/unlabeled during a pending mutation. Two codegen commands are documented: npm run gql:typegen (generate types from existing .gql files) and npm run sync-types (download the schema and generate types). This skill integrates with react-ui-patterns for loading/error/empty states, testing-patterns for mocking generated hooks in tests, and formik-patterns for mutation submission.

When to use - and when NOT to

Use it when creating GraphQL queries or mutations, working with Apollo Client, or generating types from a GraphQL schema.

Inputs and outputs

Given a GraphQL operation need, it produces a .gql file plus the codegen command to run, and the resulting generated hook usage with required loading/error/empty-state handling and, for mutations, the mandatory disabled/loading/onError/success pattern.

Integrations

npm run gql:typegen
npm run sync-types

Apollo Client with GraphQL code generation - generated hooks, fragments, cache.modify for manual cache updates, and optimisticResponse for instant UI feedback with automatic error rollback.

Who it's for

Frontend developers working with Apollo Client and GraphQL who want consistent, type-safe query and mutation patterns - generated hooks instead of inline gql, mandatory error handling on every mutation trigger, and clear guidance on when optimistic updates are and aren't appropriate.

FAQ

Common questions

Discussion

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