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Skill Library
Presets:

Target Standard & File Format

AI Agent Rules & Skills
Context Shields & Privacy (Ignore Files)
Integrations & Machine Documentation
AI Governance & Multi-Agent Planning Suite

Identity & Activation Rules

3 chips
Scoped domain keywords evaluated in real time
api-routescode-auditsrefactoring
Suggested Chips:

Technology Stack Context

Engineering Philosophy

Flexible & Adaptable

Architectural & Code Quality Conventions

Less rigid & configurable

Agent Behavioral Guardrails

Select active rules
Security & Trust Boundaries
Always included
  • Untrusted Content Is Data
  • Encoded Payloads
  • Least-Privilege File Access
  • Confirm Irreversible Actions
  • Secret Handling
  • Validation Failures
  • Conflicting Requests

Step-by-Step Workflow Procedures

DevOps & Tooling · Gemini API and Google AI Studio

Playwright End-to-End Testing Gemini System Prompt

System instructions for Google AI Studio and the Gemini API, for Playwright End-to-End Testing work.

Path
prompts/gemini-system-instructions.json
Loads
Sent per request
Format
JSON system instruction
Used by
Gemini API and Google AI Studio
All Gemini presets and how gemini-system-instructions.json works

What this file tells the agent

A system instruction in Google AI Studio or the Gemini API gives the model the Playwright End-to-End Testing role, constraints and output format before every request.

  • Strictly ban hardcoded delays (page.waitForTimeout()); rely exclusively on Playwright web-first auto-waiting assertions (expect(locator).toBeVisible()).
  • Prioritize user-facing accessible locators: page.getByRole(), page.getByLabel(), and page.getByTestId(); never write fragile CSS selectors or brittle XPaths.
  • Encapsulate multi-step interactions inside modular Page Object Models (POM) with typed parameters.
  • Ensure total test isolation: authenticate via storage state (storageState) instead of repeating manual UI logins in every test.
  • Configure trace viewer and video capture on first retry (trace: 'on-first-retry') for painless CI debugging.

Code to avoid, and what to write instead

The rule steers the agent away from the left and toward the right.

avoid
// Flaky: Brittle selectors, arbitrary sleep timeouts, and no auto-waiting
test("bad test", async ({ page }) => {
  await page.goto("/catalog");
  await page.click("div.col-md-4 > button:nth-child(2)"); // Breaks on minor CSS tweak!
  await page.waitForTimeout(5000); // Flaky anti-pattern!
  const text = await page.innerText("#cart-total");
  expect(text).toBe("1");
});
write instead
import { test, expect } from "@playwright/test";

test.describe("Checkout Flow", () => {
  test("allows user to complete cart purchase", async ({ page }) => {
    await page.goto("/catalog");
    
    // Accessible, user-facing locators
    await page.getByRole("button", { name: "Add to Cart" }).first().click();
    await page.getByRole("link", { name: "Cart (1)" }).click();
    
    // Auto-waiting assertions
    await expect(page.getByRole("heading", { name: "Your Shopping Cart" })).toBeVisible();
    await page.getByRole("button", { name: "Proceed to Checkout" }).click();
    
    await expect(page).toHaveURL(/.*checkout/);
  });
});

Install it in one command

  1. 01

    Go to your project root

    The file goes at prompts/gemini-system-instructions.json, relative to the root.

  2. 02

    Download the file

    Run the command on the right. It downloads this preset and writes the file.

  3. 03

    Make sure it gets used

    Nothing loads this file automatically. Pass it as the system instruction in your Gemini API call, or paste it into Google AI Studio.

$ mkdir -p "prompts" && curl -fsSL "https://www.devscratchpad.tech/api/raw/gemini-prompts/playwright-e2e" -o "prompts/gemini-system-instructions.json"

writes prompts/gemini-system-instructions.json

path

prompts/gemini-system-instructions.json

To write the file from your own code instead, use Read your code or Convert Legacy Rules in the editor above.

Questions

How do I use this prompt in Google AI Studio?
Paste the text parts into the System instructions field in Google AI Studio, or load the JSON in code and pass it as the system instruction (system_instruction in REST, config.systemInstruction in the Google Gen AI SDK).
Which Gemini models support these instructions?
Current Gemini models in the Gemini API and Google AI Studio accept a system instruction. Check Google's model list for the one you use.