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…
Automate YouTube Studio through tab-bound Chrome control when API access is unavailable, insufficient, or slower for Studio-only edits.
$ npx skills add swyxio/skills --skill youtube-studio-computer-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swyxio/skills youtube-studio-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/youtube-studio-computer-use .claude/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .claude/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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/youtube-studio-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 youtube-studio-computer-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swyxio/skills youtube-studio-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/youtube-studio-computer-use .agents/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .agents/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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 youtube-studio-computer-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swyxio/skills youtube-studio-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/youtube-studio-computer-use .cursor/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .cursor/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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 youtube-studio-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 youtube-studio-computer-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swyxio/skills youtube-studio-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/youtube-studio-computer-use .gemini/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .gemini/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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 youtube-studio-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 youtube-studio-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/youtube-studio-computer-use .github/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .github/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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 youtube-studio-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 youtube-studio-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/youtube-studio-computer-use .opencode/skills/youtube-studio-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 "youtube-studio-computer-use" agent skill from https://github.com/swyxio/skills/tree/main/youtube-studio-computer-use into .opencode/skills/youtube-studio-computer-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-studio-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.
youtube-studio-computer-useAutomate YouTube Studio through tab-bound Chrome control when API access is unavailable, insufficient, or slower for Studio-only edits.
Youtube Studio Computer Use is an agent skill from swyxio/skills. Automate YouTube Studio through tab-bound Chrome control when API access is unavailable, insufficient, or slower for Studio-only edits. Use for editing existing videos, adding thumbnails, changing visibility, scheduling, selecting playlists, and verifying saved Studio state. Prefer API or youtube-studio-batch-upload for pure upload/download/metadata preparation when stable API credentials or batch upload workflows are available.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/studio-dom-patterns.md` and `scripts/studio_edit_driver.py`).
It sits in Productivity & Automation, covering Desktop control. It works with YouTube. The repository describes itself as: Agent skills for Claude Code and other AI agents. The licence is MIT.
5 steps, taken from the first numbered list 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.
Ships 1 file in scripts/ (Python), which the agent can run.
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.
Youtube Studio Computer Use loads about 1.4k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 749 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); the scripts in this folder are not scanned.
The full file from swyxio/skills at commit 038ef34, republished under its MIT licence (© swyxio). 749 words, ~1,432 tokens.
.claude/skills/youtube-studio-computer-use/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Use this skill when the task must operate the live YouTube Studio UI in Chrome:
Use youtube-studio-batch-upload instead when the primary job is downloading source videos, staging filenames, building metadata, uploading new videos, or keeping upload ledgers. Use an official YouTube API flow when OAuth/API credentials already exist and the operation is supported cleanly, especially for bulk metadata reads/writes. This skill is for the messy browser path.
video_id, title, action, target time, thumbnail path, ok, error, and verification text.All changes saved and the intended side-panel state, such as Visibility Scheduled.Use the documented tab-bound browser adapter for page operations:
https://studio.youtube.com/video/<video_id>/edit. Verify the channel and video ID.Edit video visibility status control.For detailed snippets and known failure modes, read references/studio-dom-patterns.md.
Use the documented tab-bound file-chooser flow for thumbnail replacement:
Uploading... to clear before saving. Do not substitute localhost fetch or DOM injection when the adapter restricts them.If Studio shows the new thumbnail but the status object still says pending, inspect the page before retrying; retrying may replace the same thumbnail harmlessly, but do not save until Studio is done uploading.
Scheduling is fragile because YouTube Studio validates hidden component state, not just input text.
Edit video visibility status control.Schedule, then set the date and time.8:30 AM. Merely setting input.value = "8:30 AM" can display the right value while leaving Done disabled.Done is enabled before clicking it.Save, then wait until All changes saved and the side panel shows Visibility Scheduled.For spaced launches, generate slot times in the local YouTube timezone, e.g. start at 9:30 AM and add 30 minutes per video. Record every assigned time in the ledger.
Common recoveries:
missing file input: the thumbnail section has not rendered. Scroll to Thumbnail and wait again.Done disabled after setting time: choose the time from the dropdown listbox; do not type or assign the value only.missing schedule: the visibility popup did not open or is still collapsed. Re-open the visibility control and inspect visible popup text.Never bulldoze through failures in a batch. Stop, patch the driver, and resume from the ledger with the next available publish slot.
© 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 3 other files (scripts, references) in youtube-studio-computer-use of swyxio/skills.
Open the folder on GitHubat commit 038ef34
Youtube Studio 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 |
|---|---|---|---|---|---|---|
| Youtube Studio Computer Use this skillswyxio/skills | 176 | — | ~1.4k | 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 | 407 | — | ~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.
Works with
Categories
Automate YouTube Studio through tab-bound Chrome control when API access is unavailable, insufficient, or slower for Studio-only edits. Youtube Studio Computer Use is an agent skill from swyxio/skills. Automate YouTube Studio through tab-bound Chrome control when API access is unavailable, insufficient, or slower for Studio-only edits.
Youtube Studio Computer Use fits situations like: editing existing videos; adding thumbnails; changing visibility; selecting playlists.
Run `npx skills add swyxio/skills --skill youtube-studio-computer-use -a claude-code`. Or copy the skill folder (youtube-studio-computer-use in swyxio/skills) into .claude/skills/youtube-studio-computer-use in your project. Claude Code loads it when a task matches its description.
Run `npx skills add swyxio/skills --skill youtube-studio-computer-use -a codex`. Or copy the skill folder (youtube-studio-computer-use in swyxio/skills) into .agents/skills/youtube-studio-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 youtube-studio-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/youtube-studio-computer-use, .gemini/skills/youtube-studio-computer-use, .github/skills/youtube-studio-computer-use and .opencode/skills/youtube-studio-computer-use in your project.
Going by SKILL.md and its folder, Youtube Studio Computer Use needs Python for the scripts in its folder. Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Youtube Studio 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 1.4k tokens (SKILL.md is roughly 5.7k 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 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Youtube Studio 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, 407 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 176 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.