Vision Skills
Anionex/agent-vision-toolkit
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and…
Operate desktop applications and browsers reliably through Computer Use, with proactive state tracking and recovery from common automation failures.
$ npx skills add swyxio/skills --skill resilient-computer-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swyxio/skills resilient-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/swyxio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resilient-computer-use .claude/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .claude/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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/swyxio/skills/tree/main/resilient-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 swyxio/skills --skill resilient-computer-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swyxio/skills resilient-computer-use --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/resilient-computer-use .agents/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .agents/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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 swyxio/skills --skill resilient-computer-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swyxio/skills resilient-computer-use --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/resilient-computer-use .cursor/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .cursor/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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/swyxio/skills.git --path resilient-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 swyxio/skills --skill resilient-computer-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swyxio/skills resilient-computer-use --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/resilient-computer-use .gemini/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .gemini/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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 swyxio/skills resilient-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 swyxio/skills --skill resilient-computer-use -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/resilient-computer-use .github/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .github/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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 swyxio/skills --skill resilient-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 swyxio/skills resilient-computer-use --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/resilient-computer-use .opencode/skills/resilient-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 "resilient-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/resilient-computer-use into .opencode/skills/resilient-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resilient-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.
resilient-computer-useOperate desktop applications and browsers reliably through Computer Use, with proactive state tracking and recovery from common automation failures.
Resilient Computer Use is an agent skill from swyxio/skills. Operate desktop applications and browsers reliably through Computer Use, with proactive state tracking and recovery from common automation failures. Use for any multi-step or consequential UI workflow, especially when app focus moves, multiple monitors or windows are present, accessibility state is empty or stale, element indices change, screenshots and accessibility disagree, dialogs or file pickers appear, a browser upload chooser or native picker fails, a local artifact is prepared but not attached, buttons…
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/codex-browser-examples.md`).
It sits in Productivity & Automation, covering Desktop control. The repository describes itself as: Agent skills for Claude Code and other AI agents. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 038ef34. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
studio.youtube.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Resilient Computer Use loads about 4k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 202 tokens; SKILL.md has 2,119 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.
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.
The full file from swyxio/skills at commit 038ef34, republished under its MIT licence (© swyxio). 2,119 words, ~4,028 tokens.
.claude/skills/resilient-computer-use/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Run UI automation as a repeated observe → identify → act → re-observe → verify loop. Never equate tool context with application reality: a lost binding, empty accessibility tree, or stale element index does not prove the app, window, tab, or user state disappeared.
The user keeps using Chrome while agents work and runs multiple Codex browser sessions concurrently. Default to tab-bound Chrome control by stable tab ID. Keep observations, screenshots, clicks, typing, navigation, and any network/CDP capture scoped to that tab handle. Do not use the frontmost Chrome window, active tab, window position, or global keyboard shortcuts as the target for ordinary browser work.
Diagnose the failing layer before changing anything:
Do not repair a higher layer until the lower layers are known. For example, do not reopen a URL because a tab binding was lost, and do not repeat Submit because the local click response was missing.
Before a multi-step workflow or write, retain the strongest available identity:
var uiTarget = {
app: "Google Chrome",
bundleId: "com.google.Chrome",
windowTitle: "Channel content - YouTube Studio",
tabId: "684841213",
providerTabId: '["browser-instance","684841213"]',
urlOrDocument: "https://studio.youtube.com/channel/...",
resourceId: "channel-or-video-id",
accountMarker: "expected account or channel",
expectedState: "editing one unlisted video"
};Use only fields that exist. Prefer stable resource IDs over titles and titles over window order. Treat tab IDs as stable for the life of that tab/browser instance, not across an actual browser restart.
Use the narrowest reliable surface that preserves the user's intended session:
Never silently switch browser family, browser profile, desktop app, account, or authenticated destination.
Treat local preparation as an intermediate checkpoint, not completion. If the user asked to attach, upload, save, publish, submit, or otherwise finish a UI workflow, do not stop at “the file is ready,” “select it manually,” or “the browser binding cannot handle the picker” while a supported Computer Use path remains.
The fallback changes the control surface, not the task scope, destination, account, or confirmation requirements.
Confirm the app, window/document/tab, resource ID or URL, account, and current operation state. When multiple candidates exist, do not choose by first match, visual order, frontmost monitor, or approximate title.
element_index after refreshing state.set_value when appropriate, or enter multiline content only after verifying the editor behavior.Check an observable postcondition: changed value, URL, selected state, enabled button, progress indicator, saved banner, resulting record, or external readback. A successful click or lack of an error is not completion evidence.
After each item, record target identity, intended action, completion evidence, and next item. Resume from persisted evidence rather than memory or screen position.
| Symptom | Likely layer | Recovery | Do not assume |
|---|---|---|---|
| App lookup fails | Tool/app identity | Retry exact bundle ID, then inspect running apps | App is not installed or closed |
| Accessibility tree is empty | Snapshot/focus | Request full state, inspect screenshot, activate intended window | UI is blank |
| Element index fails | Snapshot | Re-fetch state and derive a new index | Control disappeared permanently |
| Click has no visible effect | UI/operation | Re-observe; check overlays, disabled state, focus, and persisted result | Click failed or should be repeated |
| Wrong window receives input | Focus/identity | Stop typing, fetch full state, identify exact window/document | Frontmost window is the target |
| Button remains disabled | UI validation | Inspect required fields and select real UI options that update internal state | Setting displayed text is sufficient |
| Browser upload opens a native picker | Browser/file chooser | Cancel the picker, reacquire the exact tab, and use the browser filechooser plus setFiles flow first | Native picker automation is required |
| File is highlighted but Open stays disabled | Native picker/validation | Cancel the picker and use the browser chooser flow; inspect the site's accepted types only if that fails | The local file is invalid |
| Loading appears stuck | Operation | Recheck progress, network/error UI, and persisted state with bounded waits | Timeout means failure |
| User interrupts or uses the app | Focus/operation | Stop, re-observe from scratch, verify whether the last action completed | Focus and form contents are unchanged |
| Browser tab list is empty | Tab binding | Enumerate user-visible tabs, claim stable ID, then verify URL/account | Browser or tab closed |
| Screenshot and AX disagree | Snapshot/rendering | Trust neither alone; inspect both after activating the target | One surface is authoritative everywhere |
| Tool disconnects | Transport | Read tool troubleshooting, reacquire the same explicit app/browser, then restore identity | Switching surfaces/accounts is safe |
When a dedicated Chrome binding fails, preserve the same live Chrome session:
tabs.list() === [] can mean only that no tabs are claimed.com.google.Chrome with native Computer Use, activate the verified tab, then retry tab-bound control.Do not reload, duplicate, or recreate the tab until the user-visible inventory and same-Chrome recovery path are exhausted. Say “tab binding was lost,” not “the tab was closed,” unless closure was observed.
Use the current browser adapter's documented file-chooser API when available. Verify the exact tab, destination, accepted file type, and local path. Catch chooser failures, then check the filename, preview, and upload completion before saving.
If that API is unavailable or fails, inspect the native picker through a supported Computer Use interface in the same app and session. Confirm focus before entering the path; re-observe before activating Open/Choose, then verify the parent page's upload and saved state. Do not repeatedly press Return or switch accounts to recover.
Adapter-specific examples are in Codex browser examples. Use them only when the current tool documentation supports those interfaces.
After any cancellation, timeout, focus theft, user action, tool exception, or context compaction:
For uploads, sends, publishes, saves, deletions, purchases, or submissions, absence of a local success response is never enough reason to retry.
When blocked, report:
Avoid claims such as “Chrome crashed,” “the tab closed,” “the click failed,” or “nothing saved” unless directly verified.
© swyxio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in resilient-computer-use of swyxio/skills.
Open the folder on GitHubat commit 038ef34
Resilient 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 |
|---|---|---|---|---|---|---|
| Resilient Computer Use this skillswyxio/skills | 175 | — | ~4k | Automated safety check: Pass | MIT | |
| Vision SkillsAnionex/agent-vision-toolkit | 1.2k | — | ~4k | Automated safety check: Pass | MIT | |
| Mac Computer UseTo3akaRin/mac-computer-use | 1.1k | — | ~495 | Automated safety check: Pass | MIT | |
| Crabbox Appsopenclaw/openclaw | 392k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Agent Managementautonomous-ai/Physical-AI-Operating-System | 381 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Computer Usebam-bam-2/solo-skills | 367 | 1 repos | ~915 | Automated safety check: Pass | MIT |
Anionex/agent-vision-toolkit
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and…
To3akaRin/mac-computer-use
操作 macOS 桌面应用,探测窗口和自动化接口、截图、读取或修改辅助功能元素、执行鼠标键盘动作,以及通过 CDP 操作内嵌 Chromium 页面。适用于桌面应用自动化与界面验收;普通网页任务优先使用已有浏览器工具。
openclaw/openclaw
A skill your agent uses when asked to open, run, test, or show an app in Crabbox, including native desktops, web previews, and computer use on a temporary machine.
autonomous-ai/Physical-AI-Operating-System
Legacy Autonomous Buddy control for explicitly requested Buddy coding sessions.
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.
davidondrej/cloudroom-core
See and control desktop apps on this Cloud sandbox’s virtual Linux screen with cloudroom computer-use: launch GUI apps you build or install, read their UI, click, type, and take screenshots.
swyxio/skills
Run a selected coding-agent CLI programmatically, with latency, error, usage, cost, and trace logging.
swyxio/skills
Design, implement, audit, or refresh protected username and handle namespaces for public products.
swyxio/skills
Fully automated new Mac setup for fullstack web developers and AI engineers.
swyxio/skills
Manage YouTube videos programmatically via the YouTube Data API v3 — upload video files, upload custom thumbnails, update video metadata (titles, descriptions, tags), and query video/channel info…
swyxio/skills
Batch YouTube Studio upload workflow for videos sourced from Airtable, Google Drive, Loom, YouTube, or local files.
swyxio/skills
Reconstruct and visually analyze paired agent, game, or policy trajectories to determine whether changed actions produced their intended effects.
Categories
Operate desktop applications and browsers reliably through Computer Use, with proactive state tracking and recovery from common automation failures. Resilient Computer Use is an agent skill from swyxio/skills. Operate desktop applications and browsers reliably through Computer Use, with proactive state tracking and recovery from common automation failures.
Resilient Computer Use fits situations like: consequential UI workflow; especially when app focus moves; multiple monitors; windows are present.
Run `npx skills add swyxio/skills --skill resilient-computer-use -a claude-code`. Or copy the skill folder (resilient-computer-use in swyxio/skills) into .claude/skills/resilient-computer-use in your project. Claude Code loads it when a task matches its description.
Run `npx skills add swyxio/skills --skill resilient-computer-use -a codex`. Or copy the skill folder (resilient-computer-use in swyxio/skills) into .agents/skills/resilient-computer-use in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add swyxio/skills --skill resilient-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/resilient-computer-use, .gemini/skills/resilient-computer-use, .github/skills/resilient-computer-use and .opencode/skills/resilient-computer-use in your project.
SKILL.md names no scripts, command-line tools or credentials: Resilient Computer Use is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: studio.youtube.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Resilient 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.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Resilient Computer Use: Vision Skills (Anionex/agent-vision-toolkit, 1.2k stars), Mac Computer Use (To3akaRin/mac-computer-use, 1.1k stars), Crabbox Apps (openclaw/openclaw, 392k stars) and Agent Management (autonomous-ai/Physical-AI-Operating-System, 381 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
swyxio (a GitHub user) maintains it in swyxio/skills, which has 175 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 5, 2026.
Source: swyxio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.