integration-qa

Identify boundary-cross violations across API, frontend, backend, DB, and runtime interactions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/hobbong21/Make.IT_Ai-Assistant_platform --skill integration-qa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: integration-qa
Source: https://github.com/hobbong21/Make.IT_Ai-Assistant_platform/tree/main/.claude/skills/integration-qa
Command: npx skills add https://github.com/hobbong21/Make.IT_Ai-Assistant_platform --skill integration-qa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MaKIT integration QA guides boundary-cross checks and provides checklists to surface mismatches across API, frontend, AI, DB, and runtime layers.

Core Features & Use Cases

  • Boundary cross-check templates for Backend API vs Frontend, AI vs Backend, DB vs Entity, and Docker vs Runtime.
  • A centralized bug-pattern catalog and integration test templates to prevent regressions.
  • Use Case: Validate that an /api/data/nlp/analyze call yields consistent request/response contracts across all boundaries.

Quick Start

Validate critical boundary interactions by running a unified QA workflow across a sample domain to surface cross-component inconsistencies.

Frequently Asked Questions about integration-qa

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

FAQPage Schema
How do I validate API request and response contracts across frontend and backend boundaries?

Cross-boundary QA checks surface mismatches between frontend and backend API contracts by applying structured checklists. This validates request and response consistency, enforcing backend-frontend equivalence to prevent integration regressions across system components.

What is a boundary-cross violation in integration testing?

A boundary-cross violation in integration testing is a mismatch between interacting system components like frontend, backend, DB, or Docker runtime. Identifying these violations validates API, AI prompt, and entity mapping interactions to surface regressions and enforce consistent contracts.

How do I check Docker runtime readiness against backend system expectations?

Checking Docker runtime readiness involves validating Docker vs Runtime boundaries to surface mismatches. Applying structured checklist templates verifies container interactions and ensures the runtime environment aligns with backend, DB, and API integration requirements.

Can I use integration QA checklists to prevent regressions in AI and backend prompts?

Yes, integration QA checklists prevent regressions in AI and backend prompts by providing boundary cross-check templates for AI vs Backend interactions. This enforces consistent prompt request and response contracts across system boundaries.

What is the best way to test DB and entity mapping consistency?

The best way to test DB and entity mapping consistency is applying boundary cross-check templates to validate DB vs Entity interactions. This surfaces mismatches between database schemas and application entities, producing repeatable integration tests to prevent data regressions.