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Dev Browser

CommunityPopular
code-yeongyu
dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill namedev-browser
Stars
69.1K
Forks
5.7K
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Dev Browser AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/packages/skills-loader-core/src/features/builtin-skills/dev-browser .claude/skills/dev-browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dev Browser in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dev Browser on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dev Browser is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dev Browser Skill

Browser automation that maintains page state across script executions. Write small, focused scripts to accomplish tasks incrementally. Once you've proven out part of a workflow and there is repeated work to be done, you can write a script to do the repeated work in a single execution.

Choosing Your Approach

  • Local/source-available sites: Read the source code first to write selectors directly
  • Unknown page layouts: Use getAISnapshot() to discover elements and selectSnapshotRef() to interact with them
  • Visual feedback: Take screenshots to see what the user sees

Setup

Installation: See references/installation.md for detailed setup instructions including Windows support.

Two modes available. Ask the user if unclear which to use.

Standalone Mode (Default)

Launches a new Chromium browser for fresh automation sessions.

bash
./skills/dev-browser/server.sh &

Add --headless flag if user requests it. Wait for the Ready message before running scripts.

Extension Mode

Connects to user's existing Chrome browser. Use this when:

  • The user is already logged into sites and wants you to do things behind an authed experience that isn't local dev.
  • The user asks you to use the extension

Important: The core flow is still the same. You create named pages inside of their browser.

Start the relay server:

bash
cd skills/dev-browser && npm i && npm run start-extension &

Wait for Waiting for extension to connect... followed by Extension connected in the console. To know that a client has connected and the browser is ready to be controlled. Workflow:

  1. Scripts call client.page("name") just like the normal mode to create new pages / connect to existing ones.
  2. Automation runs on the user's actual browser session

If the extension hasn't connected yet, tell the user to launch and activate it. Download link: https://github.com/SawyerHood/dev-browser/releases

Writing Scripts

Run all scripts from skills/dev-browser/ directory. The @/ import alias requires this directory's config.

Execute scripts inline using heredocs:

bash
cd skills/dev-browser && npx tsx <<'EOF'
import { connect, waitForPageLoad } from "@/client.js";

const client = await connect();
// Create page with custom viewport size (optional)
const page = await client.page("example", { viewport: { width: 1920, height: 1080 } });

await page.goto("https://example.com");
await waitForPageLoad(page);

console.log({ title: await page.title(), url: page.url() });
await client.disconnect();
EOF

Write to tmp/ files only when the script needs reuse, is complex, or user explicitly requests it.

Key Principles

  1. Small scripts: Each script does ONE thing (navigate, click, fill, check)
  2. Evaluate state: Log/return state at the end to decide next steps
  3. Descriptive page names: Use "checkout", "login", not "main"
  4. Disconnect to exit: await client.disconnect() - pages persist on server
  5. Plain JS in evaluate: page.evaluate() runs in browser - no TypeScript syntax

Workflow Loop

Follow this pattern for complex tasks:

  1. Write a script to perform one action
  2. Run it and observe the output
  3. Evaluate - did it work? What's the current state?
  4. Decide - is the task complete or do we need another script?
  5. Repeat until task is done

No TypeScript in Browser Context

Code passed to page.evaluate() runs in the browser, which doesn't understand TypeScript:

typescript
// ✅ Correct: plain JavaScript
const text = await page.evaluate(() => {
  return document.body.innerText;
});

// ❌ Wrong: TypeScript syntax will fail at runtime
const text = await page.evaluate(() => {
  const el: HTMLElement = document.body; // Type annotation breaks in browser!
  return el.innerText;
});

Scraping Data

For scraping large datasets, intercept and replay network requests rather than scrolling the DOM. See references/scraping.md for the complete guide covering request capture, schema discovery, and paginated API replay.

Client API

typescript
const client = await connect();

// Get or create named page (viewport only applies to new pages)
const page = await client.page("name");
const pageWithSize = await client.page("name", { viewport: { width: 1920, height: 1080 } });

const pages = await client.list(); // List all page names
await client.close("name"); // Close a page
await client.disconnect(); // Disconnect (pages persist)

// ARIA Snapshot methods
const snapshot = await client.getAISnapshot("name"); // Get accessibility tree
const element = await client.selectSnapshotRef("name", "e5"); // Get element by ref

The page object is a standard Playwright Page.

Waiting

typescript
import { waitForPageLoad } from "@/client.js";

await waitForPageLoad(page); // After navigation
await page.waitForSelector(".results"); // For specific elements
await page.waitForURL("**/success"); // For specific URL

Inspecting Page State

Screenshots

typescript
await page.screenshot({ path: "tmp/screenshot.png" });
await page.screenshot({ path: "tmp/full.png", fullPage: true });

ARIA Snapshot (Element Discovery)

Use getAISnapshot() to discover page elements. Returns YAML-formatted accessibility tree:

yaml
- banner:
  - link "Hacker News" [ref=e1]
  - navigation:
    - link "new" [ref=e2]
- main:
  - list:
    - listitem:
      - link "Article Title" [ref=e8]
      - link "328 comments" [ref=e9]
- contentinfo:
  - textbox [ref=e10]
    - /placeholder: "Search"

Interpreting refs:

  • [ref=eN] - Element reference for interaction (visible, clickable elements only)
  • [checked], [disabled], [expanded] - Element states
  • [level=N] - Heading level
  • /url:, /placeholder: - Element properties

Interacting with refs:

typescript
const snapshot = await client.getAISnapshot("hackernews");
console.log(snapshot); // Find the ref you need

const element = await client.selectSnapshotRef("hackernews", "e2");
await element.click();

Error Recovery

Page state persists after failures. Debug with:

bash
cd skills/dev-browser && npx tsx <<'EOF'
import { connect } from "@/client.js";

const client = await connect();
const page = await client.page("hackernews");

await page.screenshot({ path: "tmp/debug.png" });
console.log({
  url: page.url(),
  title: await page.title(),
  bodyText: await page.textContent("body").then((t) => t?.slice(0, 200)),
});

await client.disconnect();
EOF

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dev Browser AI skill do?

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

Why use Dev Browser on TypingMind?

Because you install it once and use it with any model. Dev Browser is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dev Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/skills-loader-core/src/features/builtin-skills/dev-browser. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dev Browser?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dev Browser?

As many as you like. As long as a model supports skills, you can use Dev Browser with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dev Browser AI skill free?

It is published on GitHub by code-yeongyu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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