Open Computer Use
iFurySt/open-codex-computer-use
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.
Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI.
Install Gooeypi Computer Use
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install am-will/gooey-pi gooeypi-computer-use --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .claude/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.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/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .claude/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-useType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install am-will/gooey-pi gooeypi-computer-use --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .agents/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .agents/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install am-will/gooey-pi gooeypi-computer-use --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .cursor/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .cursor/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/am-will/gooey-pi.git --path assets/skills/gooeypi-computer-use--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install am-will/gooey-pi gooeypi-computer-use --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .gemini/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .gemini/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install am-will/gooey-pi gooeypi-computer-useInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .github/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .github/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install am-will/gooey-pi gooeypi-computer-use --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/am-will/gooey-pi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/gooeypi-computer-use .opencode/skills/gooeypi-computer-use && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gooeypi-computer-use" agent skill from https://github.com/am-will/gooey-pi/tree/main/assets/skills/gooeypi-computer-use into .opencode/skills/gooeypi-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gooeypi-computer-use", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gooeypi-computer-use- GitHub stars
- 941
- Token cost
- ~370 tokens
- SKILL.md length
- 185 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI.
- Works in 7 steps: Declare the narrowest session scope and… → Select the exact process and window. → Take a fresh state snapshot immediately… → …
- Tasks that involve Desktop control
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Gooeypi Computer Use is an agent skill from am-will/gooey-pi. Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI.
Its SKILL.md is about 370 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. It works with Linux and macOS. The repository describes itself as: Desktop workspace for Pi, OMP, and Prime Agent. The licence is MIT.
When your agent uses it
- Tasks that involve Desktop control
Example prompts
- “/gooeypi-computer-use”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Declare the narrowest session scope and exact desired postcondition.
- Select the exact process and window.
- Take a fresh state snapshot immediately before every action.
- Prefer a snapshot-bound accessibility target, then pixels, foreground delivery, and desktop scope only as evidence requires.
- Verify the postcondition from fresh state after every action. Successful delivery alone is not task success.
- Never reuse element tokens or browser references after a newer snapshot, navigation, reconnect, or browser lifecycle change.
- End the session when the task finishes.
What it can do on your machine
Read from SKILL.md and the folder at commit 459c996. 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
Gooeypi Computer Use loads about 370 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 185 words of instructions outside code blocks.
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 am-will/gooey-pi at commit 459c996, republished under its MIT licence (© am-will). 185 words, ~370 tokens.
Download SKILL.mdSave it as
.claude/skills/gooeypi-computer-use/SKILL.md (or your agent's skills folder).- name
- gooeypi-computer-use
- description
- Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI.
- license
- MIT
Computer Use | TryCUA
Use the executable in GOOEYPI_CUA_DRIVER_PATH for native GUI work. GooeyPi does not bundle TryCUA and this capability does not require an MCP server.
Invoke tools with an argv-safe shell call shaped as:
"$GOOEYPI_CUA_DRIVER_PATH" <snake_case_tool> '<JSON object>'Start with doctor, list-tools, or describe <tool> when the live surface is unclear. Prefer a non-GUI API, CLI, or filesystem operation when the requested result does not actually live in an application's UI.
For GUI actions:
- Declare the narrowest session scope and exact desired postcondition.
- Select the exact process and window.
- Take a fresh state snapshot immediately before every action.
- Prefer a snapshot-bound accessibility target, then pixels, foreground delivery, and desktop scope only as evidence requires.
- Verify the postcondition from fresh state after every action. Successful delivery alone is not task success.
- Never reuse element tokens or browser references after a newer snapshot, navigation, reconnect, or browser lifecycle change.
- End the session when the task finishes.
On Prime Agent, the same CLI may be invoked with Python subprocess.run([...], shell=False) when a shell tool is unavailable. Never interpolate untrusted text into a shell command.
© am-will, 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 assets/skills/gooeypi-computer-use of am-will/gooey-pi.
Open the folder on GitHubat commit 459c996
Compare with similar skills
Gooeypi 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gooeypi Computer Use this skillam-will/gooey-pi | 941 | — | ~370 | Automated safety check: Pass | MIT | |
| Open Computer UseiFurySt/open-codex-computer-use | 2.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Waku Computer Useegoist/waku | 1.6k | — | ~3.6k | Automated safety check: Pass | GPL-3.0 | |
| Drive Screencoleam00/skills | 674 | — | ~5.4k | Automated safety check: Pass | MIT | |
| Browser MCP Agentantibrow/anti-detect-browser-skills | 17 | 1 repos | ~4.2k | Automated safety check: Warn | MIT | |
| Computer Usejohnson7788/MultiUserClaw | 327 | 1 repos | ~2.8k | Automated safety check: Warn | MIT |
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Related
Categories
Questions about Gooeypi Computer Use
What does Gooeypi Computer Use do?
Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI. Gooeypi Computer Use is an agent skill from am-will/gooey-pi. Drive native applications on macOS, Windows, or Linux through the separately installed TryCUA driver CLI.
When should I use Gooeypi Computer Use?
Gooeypi Computer Use fits situations like: tasks that involve Desktop control.
How do I install Gooeypi Computer Use in Claude Code?
Run `npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a claude-code`. Or copy the skill folder (assets/skills/gooeypi-computer-use in am-will/gooey-pi) into .claude/skills/gooeypi-computer-use in your project. Claude Code loads it when a task matches its description.
How do I install Gooeypi Computer Use in Codex?
Run `npx skills add am-will/gooey-pi --skill gooeypi-computer-use -a codex`. Or copy the skill folder (assets/skills/gooeypi-computer-use in am-will/gooey-pi) into .agents/skills/gooeypi-computer-use in your project. Codex loads it when a task matches its description.
Can I use Gooeypi 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 am-will/gooey-pi --skill gooeypi-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/gooeypi-computer-use, .gemini/skills/gooeypi-computer-use, .github/skills/gooeypi-computer-use and .opencode/skills/gooeypi-computer-use in your project.
What does Gooeypi Computer Use need to run?
SKILL.md names no scripts, command-line tools or credentials: Gooeypi Computer Use is instructions for the agent only. Our summary lists: Python 3.
Does Gooeypi 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 Gooeypi 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 Gooeypi Computer Use use?
Gooeypi Computer Use is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gooeypi Computer Use use?
About 370 tokens (SKILL.md is roughly 1.5k 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 Gooeypi Computer Use?
Skills that share tags, products or a category with Gooeypi Computer Use: Open Computer Use (iFurySt/open-codex-computer-use, 2.4k stars), Waku Computer Use (egoist/waku, 1.6k stars), Drive Screen (coleam00/skills, 674 stars) and Browser MCP Agent (antibrow/anti-detect-browser-skills, 17 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gooeypi Computer Use?
am-will (a GitHub user) maintains it in am-will/gooey-pi, which has 941 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 9, 2026.
Source: am-will/gooey-pi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.