How does this skill's approach to testing differ from standard AI-generated unit tests?

Unlike generic prompts that often suggest brittle mocks, this skill enforces real database interactions for Django and a mandatory 'fail-first' loop to ensure your tests actually catch bugs instead of providing a false sense of security.

What specific frameworks and libraries are compatible with this testing skill?

The skill is optimized for Python (Django/DRF) and JavaScript (React/Redux) environments, specifically utilizing pytest, Factory Boy, Jest, and React Testing Library.

Can this skill help me manage flaky E2E tests in my React application?

Yes, the skill includes a dedicated E2E quarantine system and layered page object models designed to isolate, identify, and resolve flakiness in complex browser-based test suites.

What is included in the 'production testing' skill package?

Upon purchase, you receive the full agent skill configuration, including the disciplined verification logic, specialized testing templates for Django/React, and the integrated bug reporting workflow.

Which AI agents or development environments can I use this skill with?

This skill is designed to work with any AI agent that supports custom skill integration and has access to your local or CI environment's execution shell.

How are updates handled if the underlying testing frameworks change?

Updates are periodically released to ensure compatibility with the latest versions of Django and React Testing Library; buyers will receive notifications of these improvements via their marketplace dashboard.

Production Testing for Django and React

Example session with this skill installed

Write tests for the new POST /api/orders/ endpoint and tell me whether they actually pass.

Read your context and instructions
Compiled the production testing

Summary

Added 5 API tests for POST /api/orders/, ran them, and proved the new ones can fail. Example output; paths and counts are illustrative.

What was tested

Test	Checks	Mocked
creates order	201, response body, row saved in the real DB	payment gateway only
rejects empty cart	400 with a field error, no row created	nothing
requires auth	401 without a token	nothing
retries safely	same idempotency key twice gives one row	nothing
gateway timeout	502 and the order stays `pending`	payment gateway raises

Core of one test

def test_creates_order(api_client, user, cart):
    with mock.patch("orders.payments.charge") as charge:
        resp = api_client.post("/api/orders/", {"cart_id": cart.id}, format="json")
    assert resp.status_code == 201
    assert Order.objects.filter(id=resp.json()["id"]).exists()
    charge.assert_called_once()

Verification loop

Ran pytest orders/tests/test_api.py -q: 5 passed.
Broke the status assertion on purpose: 1 failed, as expected.
Restored it and reran: 5 passed.

Next steps

Add a query-count assertion to catch N+1 on the order list.
Add the same endpoint to the contract tests used by the mobile app.

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About this skill

Tests your agent actually runs, and proves can fail

Most AI-written tests look right and never get run. This skill makes your agent write tests the way a strong team does, then run them, read the result, and prove each new test can go red before trusting it.

How it helps

Honest backend tests. Real-database unit, integration and API tests with pytest and DRF. Mock only at the boundary: network, task dispatch, external services, clock.
Solid frontend tests. Jest and React Testing Library with provider-wrapped renders and restorable config mocks.
Stable E2E suites. Layered page objects, and a way to quarantine flaky tests without hiding them.
Contract and performance checks. Know when an additive change is safe and when it breaks a consumer.
A verification loop. Identify the test, run the real command, evaluate, fix the root cause, rerun. No success reported from reading code.

What's inside

A short SKILL.md with the philosophy and the loop, plus 4 reference guides: backend testing, frontend testing, E2E and integration and contract testing, and the verification loop with a bug report template.

Use it when

Writing or reviewing tests, adding coverage to a feature, debugging a flaky suite, deciding what to mock, or when someone asks whether something actually works.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Production Testing for Django and React