Agent skill

Computer Use

by bam-bam-2 in bam-bam-2/solo-skills

Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions.

MITAuto-check passedProductivity & Automation

Install Computer Use

skills CLI
$ npx skills add bam-bam-2/solo-skills --skill computer-use -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bam-bam-2/solo-skills computer-use --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bam-bam-2/solo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/computer-use .claude/skills/computer-use && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
computer-use
GitHub stars
367
Used in
1 other repo
Token cost
~915 tokens
SKILL.md length
450 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions.

  • Desktop app interaction: list apps/windows
  • SKILL.md covers Resolve the CLI for this session, Load the full guide before… and If an older Orca does not…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Read visible UI

What it does

Computer Use is an agent skill from bam-bam-2/solo-skills. Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions. Use for desktop app interaction: list apps/windows, get app state, read visible UI, click controls, type, press keys, scroll, drag, set values, or perform accessibility actions. Also use for browser windows, webviews, Orca app UI, or other desktop UI. Triggers include "computer use", "orca computer", "read Spotify", "read Slack", "control/click/read in a desktop app", and…

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Desktop control and Accessibility. It works with Slack and Spotify. The repository describes itself as: 1인 사업가 생산성 키트 — 직원 없이 58개를 자동화했고, 그중 바로 쓸 수 있는 AI 에이전트 스킬 38개(+실행 스크립트 19개)를 공개합니다. The licence is MIT.

When your agent uses it

  • Desktop app interaction: list apps/windows
  • Read visible UI
  • Perform accessibility actions
  • Browser windows

Example prompts

  • “computer use”
  • “orca computer”
  • “read Spotify”
  • “/computer-use”

What it can do on your machine

Read from SKILL.md and the folder at commit 0712439. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Computer Use loads about 915 tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 450 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~915

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bam-bam-2/solo-skills at commit 0712439, republished under its MIT licence (© bam-bam-2). 450 words, ~915 tokens.

Download SKILL.mdSave it as .claude/skills/computer-use/SKILL.md (or your agent's skills folder).
name
computer-use
description
Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions. Use for desktop app interaction: list apps/windows, get app state, read visible UI, click controls, type, press keys, scroll, drag, set values, or perform accessibility actions. Also use for browser windows, webviews, Orca app UI, or other desktop UI. Triggers include "computer use", "orca computer", "read Spotify", "read Slack", "control/click/read in a desktop app", and "get app state".

Computer Use

This file is a discovery stub, not the usage guide. The full, version-matched computer-use reference is served by the orca binary itself — kept out of this file on purpose so it can never drift from the binary that will actually run your commands.

Engage Orca's computer-use surface whenever you must inspect or operate a local desktop app window — reading its accessibility tree, taking screenshots, or performing safe UI actions (click controls, type, press keys, scroll, drag, set values). It also covers browser windows, webviews, and Orca's own UI. Triggers include "computer use", "orca computer", "read Spotify", "read Slack", "control/click/read in a desktop app", and "get app state".

Resolve the CLI for this session

Choose the executable once and reuse it for every later command:

  • If the ORCA_CLI_COMMAND environment variable is set, use its value. Orca exports this for managed WSL sessions.
  • Otherwise, in a dev checkout whose session exposes ORCA_DEV_REPO_ROOT, use orca-dev.
  • Otherwise, on Linux outside an Orca-managed terminal, use orca-ide. Never run bare orca there — outside Orca's terminals it normally resolves to the GNOME Orca screen reader (/usr/bin/orca) and starts speech on the user's machine.
  • Otherwise, use orca.

Below, ORCA is a placeholder for the executable you resolved. Substitute it before running anything; do not create a shell variable or run ORCA literally. This works the same way in POSIX shells, PowerShell, and cmd.exe.

If the selected executable cannot run, report its exact error and stop. Do not fall through to another executable, which could silently target a different Orca build.

Show full SKILL.md (196 more words)Show less

Load the full guide before running Orca commands

text
ORCA skills get computer-use

That prints the complete, version-matched guide for the exact binary that will handle your next commands — listing apps/windows, reading UI, and driving clicks, typing, and other accessibility actions. Read it first, then run the specific command you need.

Don't guess subcommands or flags from memory or from a cached copy of this stub. They change between Orca releases, and this file deliberately no longer lists them. Confirm the app is up with ORCA status --json (start it with ORCA open --json if needed), and prefer --json for agent-driven calls.

If an older Orca does not recognize skills get

Use this fallback only when the selected binary explicitly reports that skills get is an unknown command. Another failure is not proof of an older binary; report it rather than guessing or changing executables. For a confirmed pre-guide binary, use only this bounded, read-only bootstrap to orient. Do not dead-end and do not invent commands:

text
ORCA status --json
ORCA computer capabilities --json
ORCA computer list-apps --json

Then tell the user that updating Orca restores the full, version-matched guide via ORCA skills get computer-use. Beyond these commands, ask the user rather than guessing a command surface this older binary may not support.

© bam-bam-2, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/computer-use of bam-bam-2/solo-skills.

Open the folder on GitHubat commit 0712439

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in bam-bam-2/solo-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Computer Use next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Computer Use compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Computer Use this skillbam-bam-2/solo-skills3671 repos~915Automated safety check: PassMIT
Computer Use Action Pickermrmps/classifier-dev424—~1.5kAutomated safety check: PassMIT
Computer Usekunpengtalk/PeakCode166—~2.5kAutomated safety check: PassMIT
Electron App Automationvercel-labs/agent-browser44k5 repos~1.7kAutomated safety check: PassApache-2.0
Agent Desktopsuperagent-ai/grok-cli3.5k—~720Automated safety check: PassMIT
Agent Desktopmvanhorn/printing-press-library2.1k—~2.3kAutomated safety check: NotesApache-2.0

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Works with

Questions about Computer Use

What does Computer Use do?

Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions. Computer Use is an agent skill from bam-bam-2/solo-skills. Use Orca's computer-use CLI to inspect and operate local desktop app windows through accessibility trees, screenshots, and safe UI actions.

When should I use Computer Use?

Computer Use fits situations like: desktop app interaction: list apps/windows; read visible UI; perform accessibility actions; browser windows.

How do I install Computer Use in Claude Code?

Run `npx skills add bam-bam-2/solo-skills --skill computer-use -a claude-code`. Or copy the skill folder (skills/computer-use in bam-bam-2/solo-skills) into .claude/skills/computer-use in your project. Claude Code loads it when a task matches its description.

How do I install Computer Use in Codex?

Run `npx skills add bam-bam-2/solo-skills --skill computer-use -a codex`. Or copy the skill folder (skills/computer-use in bam-bam-2/solo-skills) into .agents/skills/computer-use in your project. Codex loads it when a task matches its description.

Can I use Computer Use in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bam-bam-2/solo-skills --skill computer-use -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/computer-use, .gemini/skills/computer-use, .github/skills/computer-use and .opencode/skills/computer-use in your project.

What does Computer Use need to run?

SKILL.md names no scripts, command-line tools or credentials: Computer Use is instructions for the agent only.

Does Computer Use access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Computer Use safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Computer Use use?

Computer Use is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Computer Use use?

About 915 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Computer Use?

Skills that share tags, products or a category with Computer Use: Computer Use Action Picker (mrmps/classifier-dev, 424 stars), Computer Use (kunpengtalk/PeakCode, 166 stars), Electron App Automation (vercel-labs/agent-browser, 44k stars) and Agent Desktop (superagent-ai/grok-cli, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Computer Use?

bam-bam-2 (a GitHub user) maintains it in bam-bam-2/solo-skills, which has 367 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on September 14, 2026.

Source: bam-bam-2/solo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.