systematic-qa

Automate full-project QA by discovering repository contracts and executing user-like flows.

96|8|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/compozy/kb --skill systematic-qa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: systematic-qa
Source: https://github.com/compozy/kb/tree/main/.agents/skills/systematic-qa
Command: npx skills add https://github.com/compozy/kb --skill systematic-qa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the execution of full-project QA, ensuring that all aspects of a codebase are tested thoroughly, thereby increasing code quality and reliability.

Core Features & Use Cases

  • Repository QA Contract Discovery: Automatically identifies the QA contract of a repository, including install, verify, build, test, lint, and start commands.
  • QA Scope Definition: Helps define the QA scope by creating execution matrices and checklists.
  • Baseline Establishment: Sets up a baseline for comparison before testing changes.
  • User-Like Flow Execution: Simulates user workflows to validate the functionality of the codebase.
  • Regression Handling: Diagnoses and fixes regressions in the codebase.
  • Final Verification: Re-runs the full QA process to ensure everything is in order.

Quick Start

Run the systematic-qa skill to execute a comprehensive QA on your codebase.

Frequently Asked Questions about systematic-qa

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

FAQPage Schema
How do I automate full-project QA processes to ensure code quality?

To automate full-project QA, you discover repository contracts, define execution scopes, establish baselines, execute user-like flows, and handle regressions. This systematic process ensures comprehensive code quality and reliability across the entire codebase.

What is a repository QA contract and how does it help with regression testing?

A repository QA contract identifies required commands like install, verify, build, test, lint, and start. Establishing this contract creates a baseline for comparison, enabling accurate regression testing and diagnosis of codebase issues.

Do I need Python to set up QA automation for my repository?

Yes, Python is required to set up this QA automation. The process relies on Python scripts to discover and execute repository commands, ensuring the automated QA flows run correctly and validate the final codebase state.

What's the best way to define QA scope for a codebase?

The best way to define QA scope is by creating execution matrices and checklists based on the repository's QA contract. This systematically covers user-like flows and regressions before executing the final verification process.

Why does my regression testing fail to catch codebase issues after changes?

Regression testing often fails when no baseline is established before changes. By setting a baseline, executing user-like flows, and re-running the full QA process, you can accurately diagnose and handle regressions in the codebase.