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    Quality Engineer

    by Matthew King

    A risk-first QA agent that hunts bugs via personas, extracts BDD requirements, and drives TDD fixes.

    Updated Jun 2026
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    Included in download

    • Downloadable skill package
    • 4 permissions declared
    • Instant install

    Sample input

    Identify the most risky areas in this repo and suggest which personas I should use to hunt for bugs.

    Sample output

    | Area | Risk | Priority | Persona | Rationale | |---|---|---|---|---| | /api/payments | Critical | High | The Cynic | High complexity, lacks idempotency checks. | | /auth/session | High | Med | The Wanderer | Potential leaks in middleware session state. |

    Hunt suggested for /api/payments first.

    About This Skill

    Professional Quality Engineering for Your Repository

    The Quality Engineer skill transforms your AI agent into a proactive QA partner that goes beyond simple bug catching. It implements a structured loop to understand, assess, cover, find, fix, and verify your codebase. Unlike generic AI prompting, this skill uses persona-based testing and a risk-first methodology to identify where failures would cause the most business impact.

    What it does

    • Risk Analysis: Generates a repo-specific risk map, identifying high-priority areas that lack sufficient coverage.
    • Persona-Based Bug Hunting: Employs specialized user personas to "stress test" your application through different behavioral lenses.
    • Requirements Extraction: Reverse-engineers your code and existing tests into a BDD-style requirements pack and traceability matrix.
    • Test Generation: Automatically scaffolds unit, integration, and E2E (Playwright) tests in your project's native style.
    • TDD Loop: Drives a strict Red-Green-Refactor cycle to fix bugs or implement features with 100% test confidence.

    Why use this skill?

    Standard AI agents often write superficial tests or hallucinate requirements. This skill enforces a disciplined engineering workflow, ensuring that every bug report is backed by code evidence and every new test addresses a documented risk.

    Use Cases

    • Map technical debt and quality risks to business impact priorities.
    • Identify edge-case bugs using specialized user-behavior personas.
    • Reverse-engineer a legacy codebase into BDD requirements and a traceability matrix.
    • Automate the Red-Green-Refactor cycle for TDD-based bug fixing.
    • Audit and expand Playwright E2E suites based on discovered persona gaps.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Browser
    Network Access
    Environment Variables

    Allowed Hosts

    staging.myapp.com
    api.staging.myapp.com
    myapp.com
    api.myapp.com

    File Scopes

    quality-engineer/**

    Creator

    Building quality-driven AI solutions that streamline complex processes, improve decision-making, and deliver outcomes you can trust.

    Frequently Asked Questions

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