Software Testing Workflow

    1

    End-to-end QA engineering — testability review, test plan, test case design, runnable pytest automation, defect reports, and summary reports. Includes a Node+jsdom path for pure frontend projects.

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    Software Testing Workflow

    Example session with this skill installed

    Design a test suite for a user registration API that takes email, password, and age. Include a pytest scaffold for the automation.

    • Read your context and instructions
    • Compiled the software testing workflow
    • Generated the data export

    I have analyzed the registration API requirements. I've designed 8 test cases covering boundary values and error states, and generated a pytest scaffold in the /autotest directory.

    Test Design & Automation

    IDTitleInput DataExpected ResultPriority
    TC-REG-001Valid Registrationemail: "test@ex.com", age: 25201 Created, user_id returnedP0
    TC-REG-002Boundary: Minimum Ageage: 13201 CreatedP1
    TC-REG-003Boundary: Underageage: 12400 Bad Request, "Too young"P1
    TC-REG-004Invalid Email Formatemail: "plainaddress"400 Bad RequestP1
    TC-REG-005Empty Passwordpassword: ""400 Bad RequestP0
    TC-REG-006Duplicate Emailexisting email409 ConflictP2
    TC-REG-007SQL Injection Attemptemail: "' OR 1=1--"400 Bad RequestP1
    TC-REG-008Large Payload1MB JSON body413 Payload Too LargeP2
    
# autotest/tests/test_registration.py
import pytest

@pytest.mark.smoke
@pytest.mark.parametrize("email,age,expected_status", [
    ("valid@example.com", 25, 201),
    ("invalid-email", 25, 400),
    ("valid@example.com", 12, 400),
])
def test_user_registration_logic(api_client, email, age, expected_status):
    payload = {"email": email, "password": "SecurePassword123!", "age": age}
    response = api_client.post("/register", json=payload)
    assert response.status_code == expected_status

    Next steps

    1. Run pip install -r autotest/requirements.txt to install pytest and requests.
    2. Update autotest/conftest.py with your staging environment URL.
    3. Use python scripts/cases_to_xlsx.py docs/test-cases-reg.md to export the table for QA.

    software-testing-workflow.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Create structured test plans for complex feature releases.Design edge-case test suites using boundary value analysis.Scaffold automated pytest suites for API and UI validation.Generate professional defect reports with root-cause analysis.

    About this skill

    The problem

    Manual testing is often unorganized, inconsistent, and lacks coverage. Developers struggle to translate ambiguous requirements into reproducible test cases and reliable automation scripts.

    What it does

    • Evaluates requirement testability and identifies high-risk areas like concurrency or data consistency.
    • Designs comprehensive test cases using equivalence partitioning, boundary value analysis, and decision tables.
    • Scaffolds production-ready pytest automation suites for APIs and UI testing.
    • Generates standardized defect reports and final test summary reports with release recommendations.

    Frameworks & tools

    Python, pytest, Node.js, jsdom, Playwright, and Excel/CSV export utilities.

    Why this beats prompting it yourself

    General LLMs often write vague "happy path" tests that miss edge cases. This skill enforces rigorous engineering methods, ensures one-to-one mapping between cases and expected results, and provides structural scaffolding that follows industry-standard project layouts.

    Use cases

    • Designing a full regression suite for a legacy Python API.
    • Creating a test plan for a new feature release including smoke and sanity gates.
    • Generating bug reports with minimal reproduction paths from raw error logs.
    • Converting manual markdown test tables into Excel files for stakeholder review.

    Known limitations

    Cannot execute tests in environments without proper dependencies. Frontend testing via jsdom cannot validate visual layout or CSS rendering.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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      Ask your agent to use it

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    Verified clean 11 days ago

    • Passed all security checks, Safe to install

    Listed14 days ago
    Updated11 days ago

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