# Agentic Quality Engineering

Use when orchestrating QE agents, understanding PACTS principles, configuring the AQE...

- Repository: https://github.com/proffesor-for-testing/agentic-qe (521 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add proffesor-for-testing/agentic-qe --skill agentic-quality-engineering -g -a claude-code -y`
Codex: `npx skills add proffesor-for-testing/agentic-qe --skill agentic-quality-engineering -g -a codex -y`
Cursor: `npx skills add proffesor-for-testing/agentic-qe --skill agentic-quality-engineering -g -a cursor -y`
Gemini CLI: `npx skills add proffesor-for-testing/agentic-qe --skill agentic-quality-engineering -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add proffesor-for-testing/agentic-qe`

## Description

Use when orchestrating QE agents, understanding PACTS principles, configuring the AQE v3 fleet, or leveraging AI agents as force multipliers for quality work.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Agentic Quality Engineering

<default_to_action>
When implementing agentic QE or coordinating agents:
1. SPAWN appropriate agent(s) for the task using `Task` tool with agent type
2. CONFIGURE agent coordination (hierarchical/mesh/sequential)
3. EXECUTE with PACTS principles: Proactive analysis, Autonomous operation, Collaborative feedback, Targeted risk focus, Structured governance (observability and explainability of agent behavior)
4. VALIDATE results through quality gates before deployment
5. LEARN from outcomes - store patterns in `aqe/learning/*` namespace

**Quick Agent Selection:**
- Test generation needed → `qe-test-architect`
- Coverage gaps → `qe-coverage-specialist`
- Quality decision → `qe-quality-gate`
- Security scan → `qe-security-scanner`
- Performance test → `qe-performance-tester`
- Full pipeline → `qe-fleet-commander`

**Critical Success Factors:**
- Agents amplify human expertise, not replace it
- Human-in-the-loop for critical decisions
- Measure: bugs caught, time saved, coverage improved, and how often agent claims survive verification
- Done means committed, tested, and CI-validated with evidence attached, not "reported as complete"
</default_to_action>

## Quick Reference Card

### When to Use
- Designing autonomous testing systems
- Scaling QE with intelligent agents
- Implementing multi-agent coordination
- Building CI/CD quality pipelines

### PACTS Principles
| Principle | Agent Behavior | Human Role |
|-----------|---------------|------------|
| **P**roactive | Analyze pre-merge, predict risk | Set guardrails |
| **A**utonomous | Execute tests, fix flaky tests | Review critical |
| **C**ollaborative | Multi-agent coordination | Provide context |
| **T**argeted | Risk-based prioritization | Define risk areas |
| **S**tructured | Governance, observability, explainable decisions (measure confidence, not trust) | Audit behavior, set policy |

The rest: https://github.com/proffesor-for-testing/agentic-qe/blob/HEAD/.claude/skills/agentic-quality-engineering/SKILL.md