Agent skill

Display

by autonomous-ai in autonomous-ai/Physical-AI-Operating-System

A skill your agent uses when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal…

Apache-2.0Auto-check passedMedia & Creative

Install Display

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a claude-code

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

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display --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/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/display .claude/skills/display && 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/

Paste into Claude Code

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .claude/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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

$skill-installer install https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display

Type 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.

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/display .agents/skills/display && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .agents/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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.

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/display .cursor/skills/display && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .cursor/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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

$ gemini skills install https://github.com/autonomous-ai/Physical-AI-Operating-System.git --path skills/display

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/display .gemini/skills/display && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .gemini/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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.

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display

Installs 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).

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/display .github/skills/display && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .github/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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.

skills CLI

$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install autonomous-ai/Physical-AI-Operating-System display --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/display .opencode/skills/display && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "display" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/display into .opencode/skills/display/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "display", 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: display
GitHub stars: 381
Token cost: ~868 tokens
SKILL.md length: 380 words
Files: 2
Skills in repo: 28
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal…

Works in 2 steps: Determine the mode needed → Place markers at start of reply — the…
The user asks to change eye expression directly
SKILL.md covers Quick Start, Workflow, Examples and How to Control Display, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Display is an agent skill from autonomous-ai/Physical-AI-Operating-System. Use when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal conversation (Emotion skill auto-syncs eyes).

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.json`).

It sits in Media & Creative. The repository describes itself as: The open-source operating system for physical AI. The licence is Apache-2.0.

When your agent uses it

The user asks to change eye expression directly
Show info text on the display (time
Manually control the round LCD — NOT needed for normal conversation (Emotion skill auto-syncs eyes)

Example prompts

“/display”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

Determine the mode needed
Place markers at start of reply — the device fires them before TTS. Skip silently if display unavailable.

What it can do on your machine

Read from SKILL.md and the folder at commit f1b9ebe. 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

Display loads about 868 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 380 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~56
When it runs · the whole SKILL.md, loaded when a task matches: ~868

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 autonomous-ai/Physical-AI-Operating-System at commit f1b9ebe, republished under its Apache-2.0 licence (© autonomous-ai). 380 words, ~868 tokens.

Download SKILL.mdSave it as .claude/skills/display/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: display
description: Use when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal conversation (Emotion skill auto-syncs eyes).

Display — Eyes & Info

Quick Start

Controls the device's display. Two modes: animated eyes (default) and info text. Usually auto-synced by the Emotion skill — only call directly for manual eye control or info display.

Workflow

Determine the mode needed:
- Eyes: [HW:/display/eyes:{"expression":"happy","pupil_x":0.0,"pupil_y":0.0}]
- Info: [HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}]
- Return to eyes: [HW:/display/eyes-mode:{}] when the info display is no longer needed, not immediately after the info marker.
Place markers at start of reply — the device fires them before TTS. Skip silently if display unavailable.

Important: The Emotion skill auto-syncs eyes during conversation. Do not call both Emotion and Display for the same reaction.

Examples

Input: "Look to the left" Output: [HW:/display/eyes:{"expression":"neutral","pupil_x":-1.0,"pupil_y":0.0}] (no confirmation needed)

Input: "What time is it?" Output: [HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}] It's 2:30 PM.

Input: "Show me a happy face" Output: [HW:/display/eyes:{"expression":"happy"}] Here's a happy face!

How to Control Display

No exec/curl needed for the display action. Choose the relevant inline marker below; these are separate actions, not a sequence:

[HW:/display/eyes:{"expression":"happy","pupil_x":0.0,"pupil_y":0.0}]
[HW:/display/info:{"text":"14:30","subtitle":"Good afternoon"}]
[HW:/display/eyes-mode:{}]

pupil_x: -1.0 (look left) to 1.0 (look right)
pupil_y: -1.0 (look up) to 1.0 (look down)
text: max 20 characters, subtitle: optional max 40 characters

Available expressions

Expression	When to use
`neutral`	Default resting state
`happy`	Good news, jokes, greetings
`sad`	Bad news, empathy
`curious`	Questions, interest
`thinking`	Processing, considering
`excited`	Big news, enthusiasm
`shy`	Bashful, compliments received
`shock`	Surprises
`sleepy`	Late night, tired
`angry`	Frustration (use sparingly)
`love`	Affection

Show full SKILL.md (153 more words)Show less

Error Handling

If GET /display returns unavailable or the API is unreachable, skip all display calls silently. Do not error out to the user.
If an invalid expression is given, fall back to neutral.
If text exceeds character limits, truncate gracefully.

Rules

Emotion skill auto-syncs eyes — when you call POST /emotion, the display updates automatically. Do not call both.
Info mode has no automatic timeout. Do not chain eyes-mode immediately after info; it would erase the text before it can be read. Return to eyes when the user dismisses the info or a subsequent eye/emotion action takes over.
The display is plugin hardware — it may not be available. Always check first, and skip silently if absent.
Do not use this skill for normal conversation reactions — use the Emotion skill instead.

Output Template

[HW:/display/eyes:{"expression":"happy"}] Here's a happy face!

For info, use the display/info marker with the actual requested text instead. If the display is unavailable, skip the marker silently.

Files

SKILL.md and 1 other file in skills/display of autonomous-ai/Physical-AI-Operating-System.

SKILL.md
skill.json

Open the folder on GitHubat commit f1b9ebe

Compare with similar skills

Display 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.

Display compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Display this skillautonomous-ai/Physical-AI-Operating-System	381	—	~868	Automated safety check: Pass	Apache-2.0	today
Guizang Social Cardsop7418/guizang-social-card-skill	7.4k	1 repos	~7.8k	Automated safety check: Pass	AGPL-3.0	3 mo ago
Weekly Changelog Videoheygen-com/hyperframes	59k	—	~3.3k	Automated safety check: Pass	Apache-2.0	today
Anthropic Brand Stylinganthropics/skills	180k	30 repos	~559	Automated safety check: Pass	Apache-2.0	2 days ago
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image	2.2k	2 repos	~1.8k	Automated safety check: Pass	MIT	today
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo	129k	—	~2.1k	Automated safety check: Warn	MIT	today

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Questions about Display

What does Display do?

A skill your agent uses when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal…. Display is an agent skill from autonomous-ai/Physical-AI-Operating-System. Use when the user asks to change eye expression directly, show info text on the display (time, weather, timer), or manually control the round LCD — NOT needed for normal conversation (Emotion skill auto-syncs eyes).

When should I use Display?

Display fits situations like: the user asks to change eye expression directly; show info text on the display (time; manually control the round LCD — NOT needed for normal conversation (Emotion skill auto-syncs eyes).

How do I install Display in Claude Code?

Run `npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a claude-code`. Or copy the skill folder (skills/display in autonomous-ai/Physical-AI-Operating-System) into .claude/skills/display in your project. Claude Code loads it when a task matches its description.

How do I install Display in Codex?

Run `npx skills add autonomous-ai/Physical-AI-Operating-System --skill display -a codex`. Or copy the skill folder (skills/display in autonomous-ai/Physical-AI-Operating-System) into .agents/skills/display in your project. Codex loads it when a task matches its description.

Can I use Display 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 autonomous-ai/Physical-AI-Operating-System --skill display -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/display, .gemini/skills/display, .github/skills/display and .opencode/skills/display in your project.

What does Display need to run?

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

Does Display 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 Display 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 Display use?

Display is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Display use?

About 868 tokens (SKILL.md is roughly 3.5k 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 Display?

Skills that share tags, products or a category with Display: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Display?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/Physical-AI-Operating-System, which has 381 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 8, 2026.

Source: autonomous-ai/Physical-AI-Operating-System on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Display

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Display — Eyes & Info

Quick Start

Workflow

Examples

How to Control Display

Available expressions

Error Handling

Rules

Output Template

Files

Compare with similar skills

Similar skills

More from autonomous-ai/Physical-AI-Operating-System

Related

Questions about Display