Use when automating a real, logged-in Chrome WITHOUT disturbing the user's open tabs — e.g. authenticated sessions like ChatGPT, LinkedIn, or any site needing a persistent login. Launches or reuses a dedicated debug Chrome instance per named profile that coexists with the user's main browser; it never quits or kills any browser (unlike real-browser, which closes Chrome Beta's tabs). Trigger on "automate this site without closing my tabs", "use my logged-in session", "open ChatGPT/LinkedIn in automation", or when a browser task must preserve the user's existing windows. macOS, requires the agent-browser CLI.
npx skills add https://github.com/glebis/claude-skills --skill browser-mate
Non-destructive Chrome automation. The problem it solves: to attach a CDP/agent-browser
session, Chrome must run with --remote-debugging-port. The real-browser skill achieves
this by quitting Chrome Beta first, destroying the user's open tabs. browser-mate
instead runs a dedicated debug Chrome instance (its own --user-data-dir + port) that
coexists with the user's main browser — Chrome permits concurrent instances when the
data dirs differ, so no quit is needed.
Never quit, pkill, or osascript quit any browser. The skill only ever launches a
new dedicated instance or reuses an existing one. The single stop path sends SIGTERM only
to a process matched by BOTH our dedicated user_data_dir AND our debug port — never the
user's browser.
# Ensure a profile's debug Chrome is up (launch or reuse); prints the PORT on stdout
PORT=$(python3 scripts/browser.py chatgpt)
# Then drive it with agent-browser (always pass --cdp $PORT). See references/agent-browser.md
SID=$(LC_ALL=C tr -dc 'a-z0-9' < /dev/urandom | head -c 6)
agent-browser --cdp $PORT --session $SID open "https://chatgpt.com/"
agent-browser --cdp $PORT --session $SID snapshot -i
Other subcommands:
python3 scripts/browser.py list # configured profiles
python3 scripts/browser.py status [profile] # up/down
python3 scripts/browser.py stop chatgpt # SIGTERM OUR instance only (graceful)
For the full agent-browser command set (click, fill, upload, screenshot, reliability,
upgrade gotchas), read references/agent-browser.md.
Config: ~/.config/browser-mate/profiles.json (auto-created from assets/profiles.example.json
on first run). Each profile:
{ "default": "automation",
"profiles": {
"automation": { "binary": "<chrome binary>", "user_data_dir": "~/.browser-mate/automation", "port": 9222 },
"chatgpt": { "binary": "<chrome binary>", "user_data_dir": "~/.browser-mate/chatgpt", "port": 9223, "default_url": "https://chatgpt.com/" }
} }
user_data_dir(the launcher validates uniqueness and refuses dirs that point at the user's real Chrome
profile).
Cannot enter passwords (and must not). For a first-time login, launch the profile, then ask
the user to log in manually in that window once; the session persists in the profile's
user_data_dir for all future runs.
127.0.0.1 (Chrome default). CDP has no auth— anyone local can drive it. Use on trusted machines; never pass --remote-debugging-address.
user_data_dir must never be the user's real Chromeprofile (~/Library/Application Support/Google/Chrome*) — the launcher refuses these.
launcher fails loudly rather than killing it.
real-browser's launch step; interaction still uses agent-browser.Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Use when the user says "use the DevTools skill" or when they need help debugging a web app with Chrome DevTools MCP (UI bugs, incorrect behavior, console errors, network/API failures, or performance/lag), especially if the user seems inexperienced and needs guided, step-by-step diagnosis.
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
Use this when working on the VS Code integrated browser ("browserView") to understand its architecture and mental model. Covers the embedded Chromium browser, its editor tab, navigation, overlay/layout, sessions, and agent browser tools under `src/vs/platform/browserView` and `src/vs/workbench/contrib/browserView`.
Drive a native macOS app via the cua-driver MCP server or CLI — snapshot its AX tree, click/type/scroll by element_index, verify via re-snapshot. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real macOS application on the host (e.g. "open a file in TextEdit", "navigate to /Applications in Finder", "click the Save button in Numbers").
EAS service (paid). Run and control a user's app on a remote iOS/Android simulator hosted on EAS cloud. Read before running any `eas simulator:*` commands - it has the current syntax for this experimental API. Use whenever the user needs a simulator they can't run locally - 'run my app on a cloud simulator', 'use eas simulator to run/install/screenshot my app', 'I'm on Linux/Cursor and need an iOS device', 'no sim on this box / headless CI', 'let an agent click through my app and screenshot it', 'test my dev build on a remote sim with live reload', 'stream a sim to my browser' - even when they don't say 'EAS Simulator' or 'cloud'. On a host WITHOUT a local simulator (Linux, CI, cloud sandbox) it's the default; on macOS, do NOT auto-trigger for a plain 'run on the simulator' - use it only for a cloud/remote/shareable sim, an iOS version they lack, or an agent-driven session. NOT for local sims (expo run:ios, Xcode, Android Studio), EAS Build/Update, web preview, or physical devices.
Install, troubleshoot, and use Scrapling CLI to extract HTML, Markdown, or text from webpages. Use this skill whenever the user mentions Scrapling, `uv tool install scrapling`, `scrapling extract`, WeChat/mp.weixin articles, browser-backed page fetching, or needs help deciding between static and dynamic extraction.
Portable visual skill pack for the Agent Skills ecosystem (Claude Code, Claude Desktop, Claude Cowork, Claude Design, Goose, Cursor, Codex). Discovers community-published styles + formats via the gooseworks CLI, runs an extract-style workflow on reference images, and exports rendered PNGs via Playwright.
Take glebis/browser-mate from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.