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gaia-review-qa

Generates QA test cases and reviews test coverage for code reviews.

2|Updated Apr 15, 2026
Search Tags:#code review#test coverage#automated testing#QA testing#AI-driven review
One-click install
npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-review-qa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gaia-review-qa
Source: https://github.com/gaiastudio-ai/gaia-framework/tree/main/plugins/gaia/skills/gaia-qa-tests
Command: npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-review-qa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nyc, istanbul, coverage.py, go test -cover, jacoco, flutter test --coverage, xccov, jest --coverage, gcov, lcov, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the generation of QA test cases and reviews test coverage, streamlining the code review process and ensuring comprehensive testing.

Core Features & Use Cases

  • QA Test Case Generation: Automatically generates QA test cases based on code requirements.
  • Test Coverage Review: Reviews test coverage to ensure all requirements are tested.
  • Use Case: Use the gaia-review-qa skill to automatically generate test cases for a code review and then review the test coverage to ensure all requirements are met.

Quick Start

Generate QA test cases for a code review using the gaia-review-qa skill with the story key 'E65-S4-AC1'.

Frequently Asked Questions about gaia-review-qa

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

FAQPage Schema
How do I automate QA test case generation during code reviews?▼

Automating QA test case generation during code reviews uses AI to read code requirements and automatically produce matching test cases. This streamlines the review process by ensuring comprehensive testing without manual case writing.

How does automated test coverage review work with coverage tools?▼

Automated test coverage review works by running deterministic tools like nyc, jest, or coverage.py to measure code execution, followed by a semantic AI review to ensure all requirements are tested and gaps are identified.

Can I use AI-driven review for test coverage across different programming stacks?▼

Yes, AI-driven review supports different programming stacks by requiring specific test discovery and coverage analysis tools based on the reviewed stack, utilizing compatible coverage tools like gcov, jacoco, or istanbul.

What is the best way to ensure all code requirements are covered by tests?▼

The best way to ensure all code requirements are covered is to review test coverage semantically after running deterministic analysis. This approach verifies that generated QA test cases map directly to the defined story requirements.

Do I need specific coverage tools installed to review test coverage for code reviews?▼

Yes, you need specific test discovery and coverage analysis tools installed based on your stack. The review process requires deterministic outputs from tools like lcov, xccov, or go test -cover to feed into the semantic AI analysis.

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