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Browser

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drobins25
browser

Interactive browser automation via playwright-cli. Use when you need to navigate a site, click elements, fill forms, take snapshots, or triage a live app.

Overview

Publisherdrobins25
Repositorycraft
Skill namebrowser
Stars
69
Forks
6
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by drobins25 on GitHub. Read the source before you install it.

Installation

Install the 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.
    https://github.com/drobins25/craft/tree/main/skills/browser
  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/drobins25/craft.git /tmp/craft
mkdir -p .claude/skills
cp -r /tmp/craft/skills/browser .claude/skills/browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Browser

Interactive browser automation powered by playwright-cli. Launches a persistent playwright-browser agent that owns a live browser session. You steer it via SendMessage - the agent remembers what it's seen and done across turns.

Why This Exists

Chrome DevTools MCP works but has limitations: no persistent agent session between tool calls, no interactive steering, and full accessibility trees streamed into context (~114k tokens per task). playwright-cli saves snapshots to disk as YAML (~27k tokens per task, ~4x cheaper) and supports named sessions that persist across agent turns.

/craft:dial is the deliberate exception to this stance: that objection targets snapshot-heavy agent work, while dial runs in the main loop on evaluate_script plus at most two screenshots, and page state persists between its calls - so dial keeps Chrome DevTools MCP.

This skill is purely additive. It does not replace or modify Chrome DevTools MCP, the walkthrough-analyzer, or any existing analyzer agent.

Prerequisites

Requires playwright-cli installed globally:

bash
npm install -g @playwright/cli && playwright-cli install-browser

The skill checks prerequisites at every invocation and fails with copy-pasteable instructions if missing.

The Flow

Step 1: Check Prerequisites

bash
command -v playwright-cli >/dev/null 2>&1 || { echo "PREREQ_MISSING: playwright-cli. Run: npm install -g @playwright/cli && playwright-cli install-browser"; exit 2; }

If the check fails, report the error with the install command. Do not proceed.

Step 2: Parse Arguments

Arguments follow this pattern:

/craft:browser <url> [goal] [--headless] [--session=name]
  • url (required): The URL to navigate to
  • goal (optional): What to do - e.g., "triage the whole site", "test the login flow", "check accessibility"
  • --headless (optional): Run without visible browser window. Default is headed (visible browser) so the user can watch
  • --session=name (optional): Explicit session name (max 12 chars, lowercase alphanumeric). If omitted, auto-derive.

Step 3: Determine Session Name

CRITICAL: Session names must be <= 12 characters, lowercase alphanumeric only. macOS has a 104-char Unix socket path limit. Long names cause silent socket lookup failures, which spawn duplicate browsers instead of erroring.

Auto-derive a short session name:

bash
# Simple counter-based naming
SESSION="craft$(date +%H%M)"

If --session=name was provided explicitly, use that (after validating length <= 12).

DO NOT derive session names from story/cycle slugs. Those are too long and contain dashes. Use short, opaque names.

Step 4: Clean Up Stale Sessions

Check for and kill any existing craft sessions before launching:

bash
playwright-cli list 2>/dev/null

If sessions are listed that match a craft* pattern, close them:

bash
playwright-cli kill-all 2>/dev/null

Only run kill-all if stale sessions are detected. For a clean state, this is a no-op.

When the target page may have hosted a /craft:dial session, have the agent run the canonical dial clear on arrival (remove craft-dial-style, craft-dial-panel, every [data-craft-dial-injected] node, delete documentElement.dataset.craftDial - idempotent on a clean page, see commands/references/dial-inject.md) so screenshots never capture dial scaffolding.

Step 5: Launch the Agent

Invoke the playwright-browser agent with full context. The agent handles browser open, navigation, and initial snapshot internally.

Agent({
  subagent_type: "craft:playwright-browser",
  description: "Browser session: {url}",
  prompt: "SESSION: {session_name}
URL: {url}
GOAL: {goal or 'Interactive exploration - wait for instructions'}
HEADED: {true unless --headless}

Open the browser with the URL in a single command, check the console, and report what you see. Then wait for instructions unless a specific goal was provided."
})

IMPORTANT: Use subagent_type: "craft:playwright-browser" (with the craft: prefix).

The agent returns its agentId. Report this to the user so they know they can continue the session.

Step 6: Relay Results

When the agent returns from its first pass:

  1. Show the agent's summary to the user
  2. Tell them they can continue steering the browser by talking to you (the orchestrator relays to the agent via SendMessage)
  3. The browser session stays alive until explicitly closed

Session Lifecycle

  • Created: When the agent runs playwright-cli -s=$SESSION open --headed $URL
  • Active: Agent owns the session, responds to SendMessage
  • Closed: When user says "done" / "close" / "wrap up", or agent reaches budget cap
  • Cleanup: Agent runs playwright-cli -s=$SESSION close before exiting

Guard Rails

  1. Prerequisites checked every invocation. Never cached, never assumed.
  2. Headed by default. The user should see the browser. Use --headless only when explicitly requested.
  3. Session names <= 12 chars. Lowercase alphanumeric only. No dashes. No story slugs.
  4. No existing agents/skills modified. This is additive only.
  5. Agent budget: The playwright-browser agent has a 60 tool-call budget. For longer sessions, the user can launch a new session.
  6. No raw YAML in context. The agent reads snapshots from disk and returns summaries. YAML stays on disk, summaries go to context.
  7. open called exactly once. The agent opens the browser once with the URL. Never re-opens on failure - checks list first.

Frequently asked questions

What does the Browser AI skill do?

Interactive browser automation via playwright-cli. Use when you need to navigate a site, click elements, fill forms, take snapshots, or triage a live app.

Why use Browser on TypingMind?

Because you install it once and use it with any model. 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 Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/drobins25/craft/tree/main/skills/browser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Browser?

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

Is the Browser AI skill free?

Yes. It is published on GitHub by drobins25 under the MIT license. 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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