ag-testar-qualidade-qat

Name: ag-testar-qualidade-qat
Availability: InStock
Author: andregusman-raiz

Executes PDCA cycles to validate software quality across L1-L4 test scenarios and generates a PDCA report.

19|4|Updated Mar 7, 2026

Search Tags:#automation #qa #scenarios #baseline #learnings #pdca #quality-acceptance-testing

Ready to run

npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-testar-qualidade-qat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ag-testar-qualidade-qat
Source: https://github.com/andregusman-raiz/a-gusman-claude/tree/main/skills/ag-testar-qualidade-qat
Command: npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-testar-qualidade-qat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The PDCA Orchestrator automates a complete quality assurance cycle by loading baselines, applying learning, and coordinating four-layer test workflows to ensure outputs meet defined quality standards.

Core Features & Use Cases

Plan-Do-Check-Act (PDCA): orchestrates end-to-end QA cycles across L1–L4 with automatic baselining and regression detection.
Baseline & Learnings Management: loads baselines, analyzes results, and records learnings to continuously improve testing.
Use Case: teams deploying new features can rely on automated PDCA QA to validate quality before release.

Quick Start

Run ag-testar-qualidade-qat with your app URL to execute the full PDCA QA cycle.

Frequently Asked Questions about ag-testar-qualidade-qat

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

FAQPage Schema

How do I automate a PDCA cycle for software quality assurance testing?▼

Automating a PDCA cycle for software quality assurance involves orchestrating the Plan-Do-Check-Act phases across multi-layer test scenarios to validate outputs against defined quality baselines and produce a comprehensive PDCA report.

What is multi-layer test scenario validation across L1 to L4 levels?▼

Multi-layer test scenario validation across L1 to L4 levels is a structured quality acceptance testing approach that evaluates software functionality through progressively complex testing tiers to ensure comprehensive baseline coverage and automated regression detection.

How do I manage test baselines and record learnings for regression detection?▼

You manage test baselines and record learnings by loading existing baselines, analyzing test results against them, and automatically updating a knowledge base to capture failure patterns and continuously improve testing outcomes.

Does automated PDCA quality testing work for teams deploying new features?▼

Automated PDCA quality testing works for teams deploying new features by providing an orchestrated end-to-end QA cycle that validates quality against baselines before release, ensuring new outputs meet defined quality standards.

How do I discover failure patterns in automated test scenarios?▼

You discover failure patterns in automated test scenarios by applying the Check and Act phases of the PDCA cycle, which analyzes test results against loaded baselines and records learnings to identify recurring issues.