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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 · Any LLM tool that fetches it

Playwright End-to-End Testing llms.txt

An llms.txt for a Playwright End-to-End Testing project: a short Markdown map of what it is and where the key docs and code live.

Path
llms.txt
Loads
Fetched on request
Format
Markdown index (.txt)
Used by
Any LLM tool that fetches it
All llms.txt presets and how llms.txt works

What this file tells the agent

An llms.txt gives language models and agents a short Markdown map of your Playwright End-to-End Testing project: what it is and where the key docs and code live, so a tool that fetches it can go straight to the right files.

  • 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 llms.txt, 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 llms.txt automatically. Serve it at your site root, or point agents to it from CLAUDE.md or AGENTS.md.

$ curl -fsSL "https://www.devscratchpad.tech/api/raw/llms-txt/playwright-e2e" -o "llms.txt"

writes llms.txt

path

llms.txt

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

Questions

What is llms.txt?
llms.txt is an open proposal for a short Markdown file that lists a project's key docs and links, so AI tools can find them without crawling every page.
Where should llms.txt be deployed?
At /llms.txt on your documentation site, or in your repository root. Tools read it when they fetch it; nothing loads it automatically.