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Graphql Architect

  • 41 installs
  • 31 repo stars
  • Updated August 2, 2026
  • shipshitdev/library

Helps with ai & agent building tasks.

About

graphql-architect is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • graphql-architect
  • AI & Agent Building
  • AI-coding skill

Graphql Architect by the numbers

  • 41 all-time installs (skills.sh)
  • +3 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #8,104 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs41
repo stars31
Last updatedAugust 2, 2026
Repositoryshipshitdev/library

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

GraphQL Architect

Design GraphQL APIs that are explicit, stable, performant, and easy for clients to consume.

Use This Skill For

  • New GraphQL schemas or modules
  • Resolver and mutation design
  • Pagination, filtering, and search
  • N+1 reduction and batching
  • Authorization, validation, and error-shaping for GraphQL

Workflow

1. Read the Existing GraphQL Shape

  • Inspect schema files, resolver structure, and context setup
  • Find at least 3 existing resolver or schema patterns before adding new ones
  • Match the dominant conventions for naming, nullability, and error handling

2. Design the Contract Before Implementation

  • Start from client use cases, not database tables
  • Define the schema shape first: queries, mutations, input types, output types
  • Keep types stable and explicit; avoid ambiguous fields or overloaded mutations

3. Implement Resolver Boundaries Cleanly

  • Keep resolvers thin; push business logic into services
  • Validate inputs at the API boundary
  • Enforce authorization close to the entry point
  • Avoid leaking database details directly into schema types

4. Control Performance Early

  • Use batching/data loaders where related fields fan out
  • Prefer cursor pagination over ad hoc offset pagination for large lists
  • Avoid fields that trigger hidden expensive work without clear client intent
  • Measure N+1 risk any time a list returns nested entities

5. Verify Client Ergonomics

  • Field names should describe domain concepts, not storage details
  • Nullability must reflect real guarantees
  • Mutation results should return enough data for immediate UI updates
  • Errors should be consistent and actionable

Core Rules

  • Queries read; mutations change state
  • Input types and output types should be distinct
  • Keep mutation names verb-first and specific
  • Prefer explicit enums over magic strings
  • Add deprecation before removal when evolving schemas

Common Pitfalls

  • Catch-all mutations like updateThing
  • Returning giant nested objects by default
  • Resolver logic that talks directly to the database and the network in one layer
  • Hiding authorization failures behind nulls without a deliberate contract
  • Adding fields without thinking through cache keys or client churn

Output

When using this skill, produce:

  • Proposed schema/resolver changes
  • Notes on performance and authorization implications
  • Any migration or client-impact risks

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