QE Iterative Loop

Automate Quality Engineering loops to fix tests and achieve coverage targets.

1|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/aquariuscook/Agent_Modus_Map --skill qe-iterative-loop-aquariuscook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: QE Iterative Loop
Source: https://github.com/aquariuscook/Agent_Modus_Map/tree/main/.claude/skills/qe-iterative-loop
Command: npx skills add https://github.com/aquariuscook/Agent_Modus_Map --skill qe-iterative-loop-aquariuscook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of improving software quality by iteratively fixing tests, increasing code coverage, and ensuring compliance with quality gates, reducing manual effort and accelerating release cycles.

Core Features & Use Cases

  • Automated Test Fixing: Iteratively identifies and fixes failing tests until all tests pass.
  • Coverage Improvement: Automatically writes tests to increase code coverage to target percentages.
  • Quality Gate Compliance: Ensures all defined quality gates (tests, coverage, security, etc.) are met.
  • Flaky Test Stabilization: Detects and resolves unstable tests that pass inconsistently.
  • Use Case: When a build fails due to flaky tests and low coverage, this Skill can be invoked to automatically address these issues, allowing the build to pass and proceed to deployment.

Quick Start

Use the qe-iterative-loop skill to run npm test and fix all failing tests until tests are green.

Frequently Asked Questions about QE Iterative Loop

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

FAQPage Schema
How do I automate fixing failing tests until the build passes?

Automated test fixing iteratively identifies and resolves failing tests until all tests pass, enabling your build to proceed to deployment without manual intervention.

What is the best way to increase code coverage to meet target percentages?

To increase code coverage, the system automatically writes and iterates on tests until your target coverage thresholds are met and quality gate compliance is achieved.

How do I stabilize flaky tests that pass inconsistently in CI/CD pipelines?

Flaky test stabilization detects inconsistent tests and automatically resolves their instability, ensuring reliable test execution for your quality engineering cycles.

Can I use this to ensure quality gate compliance for security and tests?

Yes, quality gate compliance automation ensures all defined quality gates, including tests, coverage, and security checks, are met before proceeding with iterative development.

Does this quality engineering loop require any specific dependencies or environments?

No external dependencies are required to run the quality engineering iteration loop, though it integrates with AQE v3 fleet agents for coordinated quality iteration across environments.