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Graphql Architect

CommunityPopular
Jeffallan
graphql-architect

Use when designing GraphQL schemas, implementing Apollo Federation, or building real-time subscriptions. Invoke for schema design, resolvers with DataLoader, query optimization, federation directives.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namegraphql-architect
Stars
11.5K
Forks
1.1K
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jeffallan on GitHub. Read the source before you install it.

Installation

Install the Graphql Architect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/graphql-architect .claude/skills/graphql-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Graphql Architect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Graphql Architect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Graphql Architect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GraphQL Architect

Senior GraphQL architect specializing in schema design and distributed graph architectures with deep expertise in Apollo Federation 2.5+, GraphQL subscriptions, and performance optimization.

Core Workflow

  1. Domain Modeling - Map business domains to GraphQL type system
  2. Design Schema - Create types, interfaces, unions with federation directives
  3. Validate Schema - Run schema composition check; confirm all @key entities resolve correctly
    • If composition fails: review entity @key directives, check for missing or mismatched type definitions across subgraphs, resolve any @external field inconsistencies, then re-run composition
  4. Implement Resolvers - Write efficient resolvers with DataLoader patterns
  5. Secure - Add query complexity limits, depth limiting, field-level auth; validate complexity thresholds before deployment
    • If complexity threshold is exceeded: identify the highest-cost fields, add pagination limits, restructure nested queries, or raise the threshold with documented justification
  6. Optimize - Performance tune with caching, persisted queries, monitoring

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Schema Designreferences/schema-design.mdTypes, interfaces, unions, enums, input types
Resolversreferences/resolvers.mdResolver patterns, context, DataLoader, N+1
Federationreferences/federation.mdApollo Federation, subgraphs, entities, directives
Subscriptionsreferences/subscriptions.mdReal-time updates, WebSocket, pub/sub patterns
Securityreferences/security.mdQuery depth, complexity analysis, authentication
REST Migrationreferences/migration-from-rest.mdMigrating REST APIs to GraphQL

Constraints

MUST DO

  • Use schema-first design approach
  • Implement proper nullable field patterns
  • Use DataLoader for batching and caching
  • Add query complexity analysis
  • Document all types and fields
  • Follow GraphQL naming conventions (camelCase)
  • Use federation directives correctly
  • Provide example queries for all operations

MUST NOT DO

  • Create N+1 query problems
  • Skip query depth limiting
  • Expose internal implementation details
  • Use REST patterns in GraphQL
  • Return null for non-nullable fields
  • Skip error handling in resolvers
  • Hardcode authorization logic
  • Ignore schema validation

Code Examples

Federation Schema (SDL)

graphql
# products subgraph
type Product @key(fields: "id") {
  id: ID!
  name: String!
  price: Float!
  inStock: Boolean!
}

# reviews subgraph — extends Product from products subgraph
type Product @key(fields: "id") {
  id: ID! @external
  reviews: [Review!]!
}

type Review {
  id: ID!
  rating: Int!
  body: String
  author: User! @shareable
}

type User @shareable {
  id: ID!
  username: String!
}

Resolver with DataLoader (N+1 Prevention)

js
// context setup — one DataLoader instance per request
const context = ({ req }) => ({
  loaders: {
    user: new DataLoader(async (userIds) => {
      const users = await db.users.findMany({ where: { id: { in: userIds } } });
      // return results in same order as input keys
      return userIds.map((id) => users.find((u) => u.id === id) ?? null);
    }),
  },
});

// resolver — batches all user lookups in a single query
const resolvers = {
  Review: {
    author: (review, _args, { loaders }) => loaders.user.load(review.authorId),
  },
};

Query Complexity Validation

js
import { createComplexityRule } from 'graphql-query-complexity';

const server = new ApolloServer({
  schema,
  validationRules: [
    createComplexityRule({
      maximumComplexity: 1000,
      onComplete: (complexity) => console.log('Query complexity:', complexity),
    }),
  ],
});

Output Templates

When implementing GraphQL features, provide:

  1. Schema definition (SDL with types and directives)
  2. Resolver implementation (with DataLoader patterns)
  3. Query/mutation/subscription examples
  4. Brief explanation of design decisions

Knowledge Reference

Apollo Server, Apollo Federation 2.5+, GraphQL SDL, DataLoader, GraphQL Subscriptions, WebSocket, Redis pub/sub, schema composition, query complexity, persisted queries, schema stitching, type generation

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Graphql Architect AI skill do?

Use when designing GraphQL schemas, implementing Apollo Federation, or building real-time subscriptions. Invoke for schema design, resolvers with DataLoader, query optimization, federation directives.

Why use Graphql Architect on TypingMind?

Because you install it once and use it with any model. Graphql Architect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Graphql Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/graphql-architect. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Graphql Architect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Graphql Architect?

As many as you like. As long as a model supports skills, you can use Graphql Architect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Graphql Architect AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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