graphql-domain-delivery

Review and implement GraphQL contract changes with rollback evidence.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/vTRKA/supervibe --skill graphql-domain-delivery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphql-domain-delivery
Source: https://github.com/vTRKA/supervibe/tree/main/skills/graphql-domain-delivery
Command: npx skills add https://github.com/vTRKA/supervibe --skill graphql-domain-delivery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GraphQL changes can silently break client contracts or create production incidents by introducing unsafe schema diffs, resolver bugs, N+1 performance regressions, weak auth, unbounded queries, or federation/versioning mistakes without clear rollback evidence.

Core Features & Use Cases

  • Protects the schema contract by classifying additive, deprecating, and breaking changes with explicit compatibility promises.
  • Implements safe resolver boundaries with request-scoped DataLoader batching, typed mutation/error contracts, and auth/field-level sensitivity.
  • Controls production risk through pagination, complexity/depth limits, persisted-query policy, federation composition checks, and named rollback paths with evidence.

Quick Start

Ask your AI to review and implement the smallest GraphQL change by checking the local schema and resolver ownership, naming the contract impact, adding focused verification, and providing a rollback plan if any scoped proof is missing.

Frequently Asked Questions about graphql-domain-delivery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely implement GraphQL schema changes without breaking client contracts?

To safely implement GraphQL schema changes, classify additive, deprecating, and breaking modifications with explicit compatibility promises. Review SDL diffs, resolver boundaries, and DataLoader batching to prevent silent client contract breaks and production incidents.

How does DataLoader batching prevent N+1 query regressions in GraphQL resolvers?

DataLoader batching prevents N+1 query regressions by implementing request-scoped resolver boundaries. It groups multiple individual fetches into a single batched request, ensuring safe GraphQL contract changes without introducing performance bottlenecks.

What is the best way to handle GraphQL deprecations and field mutations safely?

The best way to handle GraphQL deprecations and field mutations is to classify their contract impact explicitly. Implement typed mutation and error contracts while enforcing field-level authorization and sensitivity checks to protect production stability.

How do I control production risk when adding unbounded GraphQL queries?

Control production risk from unbounded GraphQL queries by applying pagination, complexity limits, and depth limits. Enforce persisted-query policies and capture verification evidence to maintain safe schema contract delivery and rollback readiness.

Does this GraphQL review process work with federated subgraph composition?

Yes, this process works with federated subgraph composition by checking federation and versioning boundaries. It ensures safe schema additions and resolver changes across subgraphs while requiring explicit rollback discipline and ownership approvals.

When should I block a GraphQL contract change from being deployed?

Block a GraphQL contract change from deployment when source-of-truth ownership, runtime boundaries, or approvals are missing. Halt implementation immediately if scoped proof, stack-native conventions, or explicit rollback paths cannot be verified.