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Peekaboo

OrganizationPopular
spinabot
peekaboo

Capture and automate macOS UI with the Peekaboo CLI.

Overview

Publisherspinabot
Repositorybrigade
Skill namepeekaboo
Stars
4.4K
Forks
50
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 spinabot on GitHub. Read the source before you install it.

Installation

Install the Peekaboo 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/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/peekaboo .claude/skills/peekaboo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Peekaboo 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 Peekaboo 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 Peekaboo 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.

Peekaboo

Peekaboo is a full macOS UI automation CLI: capture/inspect screens, target UI elements, drive input, and manage apps/windows/menus. Commands share a snapshot cache and support --json/-j for scripting. Run peekaboo or peekaboo <cmd> --help for flags; peekaboo --version prints build metadata. Tip: run via polter peekaboo to ensure fresh builds.

Features (all CLI capabilities, excluding agent/MCP)

Core

  • bridge: inspect Peekaboo Bridge host connectivity
  • capture: live capture or video ingest + frame extraction
  • clean: prune snapshot cache and temp files
  • config: init/show/edit/validate, providers, models, credentials
  • image: capture screenshots (screen/window/menu bar regions)
  • learn: print the full agent guide + tool catalog
  • list: apps, windows, screens, menubar, permissions
  • permissions: check Screen Recording/Accessibility status
  • run: execute .peekaboo.json scripts
  • sleep: pause execution for a duration
  • tools: list available tools with filtering/display options

Interaction

  • click: target by ID/query/coords with smart waits
  • drag: drag & drop across elements/coords/Dock
  • hotkey: modifier combos like cmd,shift,t
  • move: cursor positioning with optional smoothing
  • paste: set clipboard -> paste -> restore
  • press: special-key sequences with repeats
  • scroll: directional scrolling (targeted + smooth)
  • swipe: gesture-style drags between targets
  • type: text + control keys (--clear, delays)

System

  • app: launch/quit/relaunch/hide/unhide/switch/list apps
  • clipboard: read/write clipboard (text/images/files)
  • dialog: click/input/file/dismiss/list system dialogs
  • dock: launch/right-click/hide/show/list Dock items
  • menu: click/list application menus + menu extras
  • menubar: list/click status bar items
  • open: enhanced open with app targeting + JSON payloads
  • space: list/switch/move-window (Spaces)
  • visualizer: exercise Peekaboo visual feedback animations
  • window: close/minimize/maximize/move/resize/focus/list

Vision

  • see: annotated UI maps, snapshot IDs, optional analysis

Global runtime flags

  • --json/-j, --verbose/-v, --log-level <level>
  • --no-remote, --bridge-socket <path>

Quickstart (happy path)

bash
peekaboo permissions
peekaboo list apps --json
peekaboo see --annotate --path /tmp/peekaboo-see.png
peekaboo click --on B1
peekaboo type "Hello" --return

Common targeting parameters (most interaction commands)

  • App/window: --app, --pid, --window-title, --window-id, --window-index
  • Snapshot targeting: --snapshot (ID from see; defaults to latest)
  • Element/coords: --on/--id (element ID), --coords x,y
  • Focus control: --no-auto-focus, --space-switch, --bring-to-current-space, --focus-timeout-seconds, --focus-retry-count

Common capture parameters

  • Output: --path, --format png|jpg, --retina
  • Targeting: --mode screen|window|frontmost, --screen-index, --window-title, --window-id
  • Analysis: --analyze "prompt", --annotate
  • Capture engine: --capture-engine auto|classic|cg|modern|sckit

Common motion/typing parameters

  • Timing: --duration (drag/swipe), --steps, --delay (type/scroll/press)
  • Human-ish movement: --profile human|linear, --wpm (typing)
  • Scroll: --direction up|down|left|right, --amount <ticks>, --smooth

Examples

See -> click -> type (most reliable flow)

bash
peekaboo see --app Safari --window-title "Login" --annotate --path /tmp/see.png
peekaboo click --on B3 --app Safari
peekaboo type "user@example.com" --app Safari
peekaboo press tab --count 1 --app Safari
peekaboo type "supersecret" --app Safari --return

Target by window id

bash
peekaboo list windows --app "Visual Studio Code" --json
peekaboo click --window-id 12345 --coords 120,160
peekaboo type "Hello from Peekaboo" --window-id 12345

Capture screenshots + analyze

bash
peekaboo image --mode screen --screen-index 0 --retina --path /tmp/screen.png
peekaboo image --app Safari --window-title "Dashboard" --analyze "Summarize KPIs"
peekaboo see --mode screen --screen-index 0 --analyze "Summarize the dashboard"

Live capture (motion-aware)

bash
peekaboo capture live --mode region --region 100,100,800,600 --duration 30 \
  --active-fps 8 --idle-fps 2 --highlight-changes --path /tmp/capture

App + window management

bash
peekaboo app launch "Safari" --open https://example.com
peekaboo window focus --app Safari --window-title "Example"
peekaboo window set-bounds --app Safari --x 50 --y 50 --width 1200 --height 800
peekaboo app quit --app Safari

Menus, menubar, dock

bash
peekaboo menu click --app Safari --item "New Window"
peekaboo menu click --app TextEdit --path "Format > Font > Show Fonts"
peekaboo menu click-extra --title "WiFi"
peekaboo dock launch Safari
peekaboo menubar list --json

Mouse + gesture input

bash
peekaboo move 500,300 --smooth
peekaboo drag --from B1 --to T2
peekaboo swipe --from-coords 100,500 --to-coords 100,200 --duration 800
peekaboo scroll --direction down --amount 6 --smooth

Keyboard input

bash
peekaboo hotkey --keys "cmd,shift,t"
peekaboo press escape
peekaboo type "Line 1\nLine 2" --delay 10

Notes

  • Requires Screen Recording + Accessibility permissions.
  • Use peekaboo see --annotate to identify targets before clicking.

Frequently asked questions

What does the Peekaboo AI skill do?

Capture and automate macOS UI with the Peekaboo CLI.

Why use Peekaboo on TypingMind?

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

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

Which AI models can use Peekaboo?

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 Peekaboo?

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

Is the Peekaboo AI skill free?

Yes. It is published on GitHub by spinabot 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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