How does the skill handle cache normalization?

It enforces the use of __typename and specific keyFields in type policies to ensure every entity is stored once and updated globally across the UI.

Why is GraphQL Codegen required for this skill?

GraphQL Codegen ensures 100% type safety by automatically generating TypeScript types from your schema and operations, preventing manual definition errors.

Does this skill support the latest React features?

Yes, it includes patterns for Apollo v3.9+ Suspense hooks and v4.0 migration strategies for modern React architectures.

When should I use optimistic updates?

Use optimistic updates for mutations where you want to provide instant user feedback by predicting the server response and updating the cache immediately.

Apollo GraphQL Data Fetching

Name: Apollo GraphQL Data Fetching
Author: agents-inc

byagents-inc

•

API開発

Implements advanced Apollo Client patterns for GraphQL data fetching, including normalized caching, optimistic updates, and type-safe codegen integration.

This skill equips Claude with specialized expertise in Apollo Client for React, providing robust patterns for managing complex GraphQL data layers. It emphasizes best practices such as automatic normalized caching via type policies, real-time subscriptions, and mandatory GraphQL Codegen for type safety. By integrating advanced features like Suspense hooks and data masking with useFragment, it enables developers to build high-performance, consistent, and type-safe GraphQL applications while avoiding common pitfalls like manual type definition and cache inconsistency.

主な機能

011 GitHub stars

02Fragment colocation patterns for modular component data requirements

03Optimistic UI updates and manual cache modification (modify/evict)

04Automated normalized cache management with custom type policies

05Support for v3.9+ Suspense hooks like useSuspenseQuery and useBackgroundQuery

06Real-time data synchronization using GraphQL subscriptions and links

ユースケース

01Implementing instant UI feedback for mutations via optimistic responses

02Building complex, data-heavy dashboards with real-time updates and consistent state

03Scaling large React applications using fragment colocation and type-safe codegen

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agents-inc/skills web-data-fetching-graphql-apollo

For use in Claude.ai and ChatGPT

主な機能

011 GitHub stars

02Fragment colocation patterns for modular component data requirements

03Optimistic UI updates and manual cache modification (modify/evict)

04Automated normalized cache management with custom type policies

05Support for v3.9+ Suspense hooks like useSuspenseQuery and useBackgroundQuery

06Real-time data synchronization using GraphQL subscriptions and links

ユースケース

01Implementing instant UI feedback for mutations via optimistic responses

02Building complex, data-heavy dashboards with real-time updates and consistent state

03Scaling large React applications using fragment colocation and type-safe codegen

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agents-inc/skills web-data-fetching-graphql-apollo

For use in Claude.ai and ChatGPT