Surf logo

Surf

Organization
zenobi-us
surf

Controls Chrome through surf-cli for browser automation, debugging, and AI-assisted browsing. Use when tasks need navigation, form filling, screenshots, page inspection, network diagnostics, session-scoped multi-agent browsing, or multi-step browser workflows from the terminal. Results in deterministic, scriptable browser operations with less orchestration overhead.

Overview

Publisherzenobi-us
Repositorydotfiles
Skill namesurf
Stars
67
Forks
6
Bundled files
2
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.

  • 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 zenobi-us on GitHub. Read the source before you install it.

Installation

Install the Surf 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/zenobi-us/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/files/devtools/agent/bundles/developer/skills/browsers/surf .claude/skills/surf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Surf 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 Surf 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 Surf 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.

Surf CLI Browser Automation

Overview

Use this skill when browser work should be done through surf commands instead of ad-hoc manual browsing.

Core principle: read page state first, then act, then verify.

  • Repo: nicobailon/surf-cli
  • Tool style: local CLI + Chrome extension + native host (Unix socket / named pipe)
  • Strength: fast deterministic workflows (surf do ...), robust page interaction via refs/semantic locators, and durable per-agent browser sessions

When to Use

Use this skill when the user asks for:

  • Browser automation from terminal/agent
  • Clicking/filling/submitting web forms
  • Screenshots, page text extraction, state checks
  • Network or console diagnostics
  • AI queries via browser sessions (ChatGPT/Gemini/Perplexity/Grok/AI Studio/Kimi)
  • Multiple agents driving the same or different browser tabs concurrently

Do not use when:

  • User only needs static HTTP scraping (use curl/wget first)
  • Browser extension/native host is unavailable and cannot be installed

Quick Start

bash
# 1) Install surf-cli
npm install -g surf-cli

# 2) Inspect command surface
surf --help
surf --help-full
surf --llm-context             # compact reference built for agents

# 3) Diagnose the native host connection before first use
surf doctor

# 4) Smoke test connection
surf tab.list

If doctor or tab.list fails, load references/setup-and-troubleshooting.md.

Sessions: Required for Concurrent Agents

Every independent agent shell MUST claim a named session before its first browser command. Sessions stop Chrome focus changes from retargeting another agent's commands.

bash
export SURF_SESSION="$(basename "$PWD" | sed 's/[^A-Za-z0-9._-]/-/g')"
surf session.ensure "$SURF_SESSION" about:blank

# All later tab-scoped commands use that session automatically
surf go "https://example.com"
surf read

session.ensure is idempotent: it creates a missing session, reuses a live one, and reopens a stale/closed one. Give each agent a distinct session name — never share one across concurrent agents in different worktrees/directories.

Other session commands: session.new, session.list --refresh, session.info <name>, session.close <name>, session.cleanup --idle-after 1h, session.rebind, session.reopen. Load references/advanced-features.md for full session, remote, and playbook detail.

Default Interaction Loop

bash
# Navigate
surf go "https://example.com"

# Read page model (refs and content)
surf read --compact

# Interact
surf click e5
surf type "hello" --selector "#search"

# Verify result
surf wait.load
surf screenshot --output /tmp/surf-result.png

Recommended Command Patterns

1) Reliable element targeting

Prefer in this order:

  1. refs from surf read (e1, e2, ...)
  2. semantic locators (locate.role, locate.label, locate.text)
  3. CSS selectors (fallback)
bash
surf locate.role button --name "Submit" --action click
surf locate.label "Email" --action fill --value "user@example.com"

2) Multi-step automation with do

Use surf do for deterministic flows and less token overhead. Actions that change the page (navigation, click, type, tab switch) auto-wait for completion.

bash
surf do 'go "https://example.com/login" | type "user@example.com" --selector "#email" | type "secret" --selector "#password" | click --selector "button[type=submit]" | wait.load | screenshot --output /tmp/login.png'

Validate before execution when flow is uncertain:

bash
surf do 'go "https://example.com" | click e5' --dry-run

For a reusable flow, save it as a named workflow JSON file under ~/.surf/workflows/ or ./.surf/workflows/ and run surf do my-workflow --url "...". See references/advanced-features.md for the JSON format (args, loops, step outputs).

3) Debugging workflow

bash
surf doctor                 # native host / socket health first
surf read --compact
surf page.state
surf console
surf network --limit 20
surf screenshot --output /tmp/debug.png

4) Waiting for real readiness

wait.ready fails fast on a bad page state instead of timing out silently, returning a typed state (ready, empty, login, challenge, not-found, error).

bash
surf wait.ready --selector ".results" --empty-text "No results"

5) AI-through-browser workflow

Use when the user explicitly wants browser-authenticated AI providers (no API key flow).

bash
surf chatgpt "summarize this page" --with-page
surf gemini "explain this" --with-page
surf perplexity "fact-check this" --with-page
surf grok "latest AI agent trends on X" --deep-search
surf aistudio "explain quantum computing" --with-page
surf kimi "summarize" --with-page

For a durable, resumable ChatGPT consult (as opposed to a one-shot query), use surf oracle ask/status/result/follow — see references/advanced-features.md.

If login/model issues occur, load references/setup-and-troubleshooting.md.

High-Value Command Reference

bash
# Navigation & page state
surf go <url>                       # alias: navigate
surf back
surf forward
surf read --compact                 # alias: page.read
surf page.text
surf page.state
surf extract <url> --file rows.js   # read-only structured extraction into JSON/Markdown

# Interactions
surf click <ref>
surf click --selector "..."
surf type "..." --selector "..."
surf key Enter
surf hover --ref e5
surf select e5 "US"                 # dropdown option select

# Waiting
surf wait 2
surf wait.element ".ready"
surf wait.network
surf wait.url "/success"
surf wait.load
surf wait.ready --selector ".results"

# Capture
surf screenshot --output /tmp/shot.png   # alias: snap
surf screenshot --fullpage
surf record --duration 2000 --fps 10 --output /tmp/anim.gif
surf video start ./demo.webm --fps 30

# Diagnostics
surf doctor
surf console
surf network
surf network.get --id <req-id>
surf network.body --id <req-id>
surf network.export --har --output ./trace.har

# Emulation
surf emulate.device "iPhone 14"
surf emulate.viewport --width 375 --height 812

# Workflows & playbooks
surf do 'go "https://example.com" | read | screenshot'
surf workflow.list
surf workflow.info <name>
surf playbook list
surf use <site> <op>

Full command surface: surf --help-full. Search by keyword: surf --find <term>.

Aliases

AliasCommand
snapscreenshot
readpage.read
findsearch
gonavigate

Common Mistakes

  1. Acting before reading state

    • Fix: always run surf read or surf page.state before interactions.
  2. Skipping session setup with multiple agents

    • Fix: run surf session.ensure "$SURF_SESSION" about:blank before any browser command when more than one agent may be driving Chrome.
  3. Using stale refs after navigation/DOM shifts

    • Fix: rerun surf read and use fresh refs.
  4. Long flows as many separate commands

    • Fix: collapse into surf do for deterministic execution, or save a named workflow.
  5. Ignoring timeouts on slow AI models/pages

    • Fix: increase timeout (--timeout 600) and add explicit waits.
  6. Assuming AI tools work without browser login

    • Fix: ensure active login session in Chrome for each provider.

Decision Map

text
[Need browser task]
   |
   v
[Can use surf?] --no--> [Use alternative tool/path]
   |
  yes
   v
[Multiple concurrent agents?] --yes--> [session.ensure "$SURF_SESSION" first]
   |
  no
   v
[Single action?] --no--> [Use surf do / workflow JSON]
   |                         |
  yes                        v
   v                      [dry-run optional]
[read -> act -> verify]       |
   |                          v
   +----------------------> [execute + screenshot/log validation]

Adjacent Skills

  • agent-browser: alternate browser automation CLI
  • chrome-debug: CDP-first debugging workflows
  • lynx-web-search: research without browser automation

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 Surf AI skill do?

Controls Chrome through surf-cli for browser automation, debugging, and AI-assisted browsing. Use when tasks need navigation, form filling, screenshots, page inspection, network diagnostics, session-scoped multi-agent browsing, or multi-step browser workflows from the terminal. Results in deterministic, scriptable browser operations with less orchestration overhead.

Why use Surf on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/browsers/surf. 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 Surf?

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 Surf?

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

Is the Surf AI skill free?

Yes. It is published on GitHub by zenobi-us 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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