Browser Automation

Community

borghei

browser-automation

This skill should be used when the user asks to "build web automation scripts", "check browser automation for detection", "generate web scraping code", "create form filling automation", or "build anti-detection browser scripts".

Overview

Publisher	borghei
Repository	`Claude-Skills`
Skill name	`browser-automation`
Stars	856
Forks	154
Bundled files	4
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by borghei on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/borghei/Claude-Skills/tree/main/engineering/browser-automation
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.

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/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/engineering/browser-automation .claude/skills/browser-automation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Automation 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 Automation 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 Automation 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 Automation

Category: Engineering Domain: Web Automation

Overview

The Browser Automation skill provides tools for building robust web automation, checking scripts for bot detection signatures, generating form automation code, and creating web scraping solutions with rate limiting and best practices.

Clarify First

Before generating automation, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Target site & task — the URL and exactly what to automate or scrape (drives the generated selectors and flow)
Which tool — audit an existing script, build form automation, or generate a scraper (selects anti_detection_checker.py vs form_automation_builder.py vs scraping_toolkit.py)
Politeness strategy & authorization — polite vs aggressive, robots.txt compliance, and that you are permitted to automate this target (sets request delays and backoff in the generated code)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

bash
# Check automation script for detection signatures
python scripts/anti_detection_checker.py --file ./my_scraper.py

# Generate form automation code from HTML
python scripts/form_automation_builder.py --url https://example.com/form --output form_script.py

# Generate scraping code with rate limiting
python scripts/scraping_toolkit.py --url https://example.com --strategy polite --output scraper.py

Tools Overview

Tool	Purpose	Key Flags
`anti_detection_checker.py`	Audit automation code for bot detection signatures	`--file`, `--format`
`form_automation_builder.py`	Generate form filling scripts from HTML analysis	`--url`, `--html-file`, `--output`
`scraping_toolkit.py`	Generate web scraping code with rate limiting	`--url`, `--strategy`, `--output`

Workflows

Build Reliable Scraper

Analyze target with scraping_toolkit.py to generate base code
Check generated code with anti_detection_checker.py
Address any detection signatures found
Test with progressive rate limiting

Automate Form Submission

Provide form HTML to form_automation_builder.py
Review generated script for field mappings
Customize data sources and validation
Run anti-detection check on final script

Reference Documentation

Browser Automation Guide - Anti-detection techniques, rate limiting strategies, ethical scraping practices

Common Patterns

Polite Scraping

Respect robots.txt directives
Implement exponential backoff on errors
Use 2-5 second delays between requests
Identify your bot with a descriptive User-Agent
Cache responses to minimize repeat requests

Anti-Detection Best Practices

Rotate User-Agent strings realistically
Randomize request timing (avoid fixed intervals)
Handle cookies and sessions properly
Avoid headless browser fingerprinting tells

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 Browser Automation AI skill do?

Why use Browser Automation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/engineering/browser-automation. 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 Browser Automation?

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 Automation?

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

Is the Browser Automation AI skill free?

It is published on GitHub by borghei. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Browser Automation

Overview

Clarify First

Quick Start

Tools Overview

Workflows

Build Reliable Scraper

Automate Form Submission

Reference Documentation

Common Patterns

Polite Scraping

Anti-Detection Best Practices

Bundled files

Frequently asked questions

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