Skip to content
Agentmart
Submit a tool

computer-use

Use when you need to see or control the local screen (screenshots, screen recording with video + contact sheet for catching transient bugs/animations, mouse…

Skill by Leostruka

IndexedMIT
Write a review

Chalk Labs

Need help deploying computer-use?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/leostruka-computer-use

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use when you need to see or control the local screen (screenshots, screen recording with video + contact sheet for catching transient bugs/animations, mouse clicks/movement, typing text and hotkeys) or to read/control terminals (Windows Terminal, conhost, mintty, spawned PTYs). GUI automation for desktop apps and browsers, replicating Devin Cloud Computer Use in the CLI.

Use cases: spreadsheets

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/computer-use

What's inside

Skill name
computer-use
Description
Use when you need to see or control the local screen (screenshots, screen recording with video + contact sheet for catching transient bugs/animations, mouse clicks/movement, typing text and hotkeys) or to read/control terminals (Windows Terminal, conhost, mintty, spawned PTYs). GUI automation for desktop apps and browsers, replicating Devin Cloud Computer Use in the CLI.
License
MIT
Instructions
71 lines in SKILL.md · view on GitHub

Before installing

  • Instructions read files in your home folder (~/.ssh, ~/.aws…)

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Computer Use

Local GUI automation. The scripts live in the `computer-use` extension, not in
this skill — this file is only the router pointer.

## Where it is

- Bundle source: `extensions/computer-use/`
- Installed: `%APPDATA%\devin\extensions\computer-use\` (Windows) or
  `~/.config/devin/extensions/computer-use/` (POSIX)
- **Full docs: `USAGE.md` inside that directory** — read it first.

## Quick start

At session start, ask the user which action profile to use
(`ask_user_question`: `fast` / `smooth` / `human`), then persist it:

```bash
PY profile.py --set human              # writes session file in OS temp dir
```

Always invoke via the extension's isolated venv Python:

- Windows: `%APPDATA%\devin\extensions\computer-use\.venv\Scripts\python.exe`
- POSIX: `~/.config/devin/extensions/computer-use/.venv/bin/python`

```bash
PY screenshot.py --hints               # Vimium-style badges on real UI elements
PY screenshot.py --grid                # fallback when UIA has no elements
PY mouse.py click --hint as            # click element center by hint id
PY mouse.py click X Y                  # or click physical pixel directly
PY type_text.py "text" | --keys ctrl+c # type / hotkey
PY record.py --seconds 5               # screen video + contact-sheet PNG
PY terminal.py bind --hwnd <n>          # read/control an existing terminal
PY terminal.py spawn --shell cmd        # or own a PTY session (daemon)
PY terminal.py link <src> <dst>         # pipe session A output into B input
PY terminal.py links | unlink <id>      # inspect / stop a link
PY browser.py bind --endpoint <url> --pid <p>  # browser via CDP/BiDi
# Android: envs/<id>.json {"provider":"adb","serial":"..."} then:
PY screenshot.py --env <id> --hints     # uiautomator tree -> hint badges
PY mouse.py click --hint as --env <id>  # tap element center via adb
PY terminal.py exec "ls /sdcard" --env <id>  # adb shell
```

Terminal/browser details (read paths, send/exec/recv, events daemon) are in
`USAGE.md` — same directory.

Workflow: `screenshot.py --hints` → pick the target by `name`/`type` from the
JSON (or the badge letters in the PNG) → `mouse.py click --hint <id>` →
re-screenshot to verify. For visual checks (images, canvas, rendered content)
use plain `screenshot.py`; hints only cover interactive elements.

Recording: `record.py` writes a video file (mp4/webm via ffmpeg, animated
webp/gif via Pillow fallback) **plus a contact-sheet PNG**. Read the sheet
with the `read` tool to see what happened; video can't be viewed directly.
Use for transient bugs, animations, flicker, and anything a single
screenshot misses.

Screenshots are disposable: keep the default temp path, and delete the shots
you created when the task ends. Only write `--out` elsewhere if the user asks
to keep one.

Isolated environments: any CLI takes `--env <env_id>` to act inside an
approved QEMU/container guest instead of the host — lifecycle via
`env.py` (doctor/create/start/stop/restart/reset; TTY consent required).
Details and limits: `USAGE.md` → "Isolated environments".

If the venv is missing, run the bundle installer (`install.ps1`/`install.sh`)
or create it per `USAGE.md`.

From Leostruka/devin-bundle, MIT.

More from Leostruka/devin-bundle

Signals

Stars
0
Forks
0
Open issues
1
Last commit (this folder)
Oct 3, 2026 (29 days ago)
Last release
Oct 24, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Leostruka

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get computer-use running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying computer-use?

CallGet help
Cite this page

computer-use skill. Agent Mart. https://agentmart.dev/skills/leostruka-computer-use (last updated 2026-10-24)