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Clawbrowser

Community
bighardperson
clawbrowser

Use when the agent needs to drive a browser through the Microsoft Playwright CLI (`playwright-cli`) for navigation, form interactions, screenshots, recordings, data extraction, session management, or debugging without loading a full MCP browser. It trains the agent on the CLI commands, snapshots, and session/config habits that make Playwright CLI reliable for scripted browsing.

Overview

Publisherbighardperson
Repositorycomputer-science-skills-collection
Skill nameclawbrowser
Stars
66
Forks
10
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Clawbrowser 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/bighardperson/computer-science-skills-collection/tree/main/skills/ClawBrowser
  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/bighardperson/computer-science-skills-collection.git /tmp/computer-science-skills-collection
mkdir -p .claude/skills
cp -r /tmp/computer-science-skills-collection/skills/ClawBrowser .claude/skills/clawbrowser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawbrowser 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 Clawbrowser 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 Clawbrowser 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.

Clawbrowser – browser control via Playwright CLI

Setup & orientation

  1. Install the CLI and verify availability:
    bash
    npm install -g @playwright/cli@latest
    playwright-cli --help
    The CLI is headless by default; add --headed to open or set browser.launchOptions.headless to false in playwright-cli.json when you need to see the UI.
  2. The CLI reads playwright-cli.json by default or whatever file you pass with --config. Use the config to tune browser name, launch/context options, viewport, timeouts, output directories, and recording settings without changing every command.
  3. Keep playwright-cli --help terminal-accessible; the script self-documents the latest commands and options so you can refresh your memory before trying a new action.

Core interaction loop

  1. Start with playwright-cli open <url> to load the page (add --session=name if you want isolation up front).
  2. Run playwright-cli snapshot to generate element refs (e1, e2, …) before any interaction. Always re-snapshot after DOM changes or navigation to avoid stale refs.
  3. Use refs for actions:
    • click, dblclick, hover, drag, check, uncheck, select, fill, type, upload, eval
    • Append [button], [value], or JS snippets as needed (e.g., playwright-cli click e4 right).
  4. Capture output evidence with screenshot [ref], pdf, console [level], or network to prove the flow or inspect errors.
  5. Example flow:
    bash
    playwright-cli open https://example.com/login
    playwright-cli snapshot
    playwright-cli fill e1 "user@example.com"
    playwright-cli fill e2 "supersecret"
    playwright-cli click e3
    playwright-cli snapshot
    playwright-cli screenshot

Sessions & persistence

  • Use --session=<name> to keep cookies, storage, and tabs isolated per workflow. Sessions behave like persistent profiles: they remember auth state, history, and tabs between commands.
  • Export PLAYWRIGHT_CLI_SESSION=mysession if you are running many commands in the same session — the CLI will default to that session without needing --session each time.
  • Manage sessions explicitly:
    bash
    playwright-cli session-list
    playwright-cli session-stop <name>
    playwright-cli session-stop-all
    playwright-cli session-restart <name>
    playwright-cli session-delete <name>
  • Use playwright-cli --isolated open ... for ephemeral contexts that do not persist to disk.
  • Whenever you change browser settings for a session (launch args, headless toggle, browser selection), rerun playwright-cli config for that session and then session-restart to apply the new config.

Tabs, navigation, and devtools

  • Tab helpers: tab-list, tab-new [url], tab-close <index>, tab-select <index>.
  • Navigation shortcuts: go-back, go-forward, reload.
  • Keyboard and mouse control: press <key>, keydown, keyup, mousemove <x> <y>, mousedown [button], mouseup [button], mousewheel <dx> <dy>.
  • Devtools-style introspection:
    bash
    playwright-cli console [level]
    playwright-cli network
    playwright-cli run-code "async page => await page.context().grantPermissions(['clipboard-read'])"
    Use these to check console logs, inspect network requests, or inject helper scripts.

Recording, tracing, and exports

  • Record traces and videos around delicate interactions so you can replay what the agent did later:
    bash
    playwright-cli tracing-start
    # perform steps
    playwright-cli tracing-stop
    playwright-cli video-start
    # perform steps
    playwright-cli video-stop video.webm
  • Save evidence to disk with screenshot, pdf, or snapshot (which dumps element refs). Recorded files honor the outputDir from your config.

Config, state, and housekeeping

  • Use playwright-cli config to tweak runtime flags without reinstalling. Examples:
    bash
    playwright-cli config --headed --browser=firefox
    playwright-cli --session=auth config --config=playwright-cli.json
    Change browser, contextOptions, launchOptions, or recording settings in the config and restart the session to apply them.
  • Running playwright-cli install refreshes browser binaries if the environment is new or you receive errors about missing binaries.
  • Clean up sessions when finished to avoid stale state:
    bash
    playwright-cli session-stop <name>
    playwright-cli session-delete <name>

Troubleshooting & reminders

  • If a command fails, rerun playwright-cli snapshot to confirm refs are still valid. Snapshots provide the current DOM context for click/type operations.
  • playwright-cli --help always shows the latest command set, so consult it before trying a rarely used flag.
  • When the agent needs to replicate a recorded manual flow, capture a screenshot, note the session name, and mention which refs and tabs were in use.
  • If targeting a visible browser is required (e.g., manual inspection), reconfigure with --headed, or run playwright-cli open --headed <url> for that session only.

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 Clawbrowser AI skill do?

Use when the agent needs to drive a browser through the Microsoft Playwright CLI (`playwright-cli`) for navigation, form interactions, screenshots, recordings, data extraction, session management, or debugging without loading a full MCP browser. It trains the agent on the CLI commands, snapshots, and session/config habits that make Playwright CLI reliable for scripted browsing.

Why use Clawbrowser on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bighardperson/computer-science-skills-collection/tree/main/skills/ClawBrowser. 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 Clawbrowser?

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 Clawbrowser?

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

Is the Clawbrowser AI skill free?

It is published on GitHub by bighardperson. 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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