Agent skill

Model Office

by SylphAI-Inc in SylphAI-Inc/skills

Launches "Model Office" — a live browser dashboard that visualizes multi-model job routing as a blocky Lego/Minecraft-style pixel office.

No licenceAuto-check passedAgent Workflows

Install Model Office

skills CLI
$ npx skills add SylphAI-Inc/skills --skill model-office -a claude-code

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

GitHub CLI
$ gh skill install SylphAI-Inc/skills model-office --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/SylphAI-Inc/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-office .claude/skills/model-office && 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
model-office
GitHub stars
112
Token cost
~1.5k tokens
SKILL.md length
625 words
Files
12 (incl. scripts)
Skills in repo
8
Repo updated
First seen
Licence
None found

At a glance

Launches "Model Office" — a live browser dashboard that visualizes multi-model job routing as a blocky Lego/Minecraft-style pixel office.

  • Works in 4 steps: Add its capability description to… → Add a _call_() function in worker.py and… → Add an entry to WORKERS in… → …
  • The user wants to demo/visualize multi-agent
  • SKILL.md covers Architecture, When to Use, Prerequisites and How to Run, plus 2 more sections
  • Runs Python and JavaScript scripts from its folder; calls python3 and pip; needs OPENAI_API_KEY and ANTHROPIC_API_KEY

What it does

Model Office is an agent skill from SylphAI-Inc/skills. Launches "Model Office" — a live browser dashboard that visualizes multi-model job routing as a blocky Lego/Minecraft-style pixel office. Type one task, a dispatcher LLM decomposes it into subtasks and routes each to the best-fit model (Claude/GPT/Sonar) based on capability, and pixel-art worker avatars slide between a "working area" desk and a "waiting area" lounge as their live status changes (queued/thinking/done). Use when the user wants to demo/visualize multi-agent or multi-model job allocation, wants a…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts (for example `README.md`, `scripts/dispatcher.py` and `scripts/frontend/app.js`).

It sits in Agent Workflows, covering Task breakdown, Slides and decks and Sprites and pixel art. The repository describes itself as: Community-shareable skills for AdaL — the automation-first agent harness.

When your agent uses it

  • The user wants to demo/visualize multi-agent
  • Multi-model job allocation
  • Wants a pixel agents-style dashboard
  • Asks to see how tasks get routed across different models

Example prompts

  • “Model Office”
  • “working area”
  • “waiting area”
  • “/model-office”

Requirements

  • Python 3
  • Node.js
  • A credential in ANTHROPIC_API_KEY
  • A credential in OPENAI_API_KEY

Workflow steps

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

  1. Add its capability description to WORKER_CAPABILITIES.
  2. Add a _call_() function in worker.py and register it in _CALLERS.
  3. Add an entry to WORKERS in frontend/app.js with a desk x position.
  4. Generate a matching pixel-art sprite (16-bit style, magenta background,

What it can do on your machine

Read from SKILL.md and the folder at commit 51a5abd. 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

    Ships 10 files in scripts/ (Python and JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY
    • ANTHROPIC_API_KEY
    • PERPLEXITY_API_KEY

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

Context cost

Model Office loads about 1.5k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 625 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~155
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 625 words (~1,488 tokens).

“A local FastAPI + WebSocket + HTML5 Canvas demo that visualizes capability-based job routing across multiple LLMs as a blocky Lego/Minecraft-style office. Inspired by pixel-agents-hq/pixel-agents, but built for capability-based multi-model routing rather than parsing a single coding agent's transcript.”

— opening of SKILL.md by SylphAI-Inc
name
model-office
author
SylphAI Inc
version
0.1.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 11 other files (scripts) in skills/model-office of SylphAI-Inc/skills.

  • SKILL.md
  • README.md
  • scripts/dispatcher.py
  • scripts/frontend/app.js
  • scripts/frontend/index.html
  • scripts/frontend/sprites/claude.png
  • scripts/frontend/sprites/gpt.png
  • scripts/frontend/sprites/sonar.png
  • scripts/requirements.txt
  • scripts/run.py
  • scripts/server.py
  • scripts/worker.py

Open the folder on GitHubat commit 51a5abd

Compare with similar skills

Model Office 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.

Model Office compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Office this skillSylphAI-Inc/skills112—~1.5kAutomated safety check: PassNone
Pixel FaceCotal-AI/Cotal315—~1.5kAutomated safety check: PassApache-2.0
MemPalace Task HandoffMemPalace/mempalace59k—~1.9kAutomated safety check: PassMIT
Planning And Task Breakdownabashev/vfs-s31068 repos~1.9kAutomated safety check: PassApache-2.0
Incremental Implementationaddyosmani/agent-skills104k1 repos~2.3kAutomated safety check: PassMIT
ULW Plan Workflowcode-yeongyu/oh-my-openagent70k—~3.9kAutomated safety check: PassCustom licence

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Questions about Model Office

What does Model Office do?

Launches "Model Office" — a live browser dashboard that visualizes multi-model job routing as a blocky Lego/Minecraft-style pixel office. Model Office is an agent skill from SylphAI-Inc/skills. Launches "Model Office" — a live browser dashboard that visualizes multi-model job routing as a blocky Lego/Minecraft-style pixel office.

When should I use Model Office?

Model Office fits situations like: the user wants to demo/visualize multi-agent; multi-model job allocation; wants a pixel agents-style dashboard; asks to see how tasks get routed across different models.

How do I install Model Office in Claude Code?

Run `npx skills add SylphAI-Inc/skills --skill model-office -a claude-code`. Or copy the skill folder (skills/model-office in SylphAI-Inc/skills) into .claude/skills/model-office in your project. Claude Code loads it when a task matches its description.

How do I install Model Office in Codex?

Run `npx skills add SylphAI-Inc/skills --skill model-office -a codex`. Or copy the skill folder (skills/model-office in SylphAI-Inc/skills) into .agents/skills/model-office in your project. Codex loads it when a task matches its description.

Can I use Model Office 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 SylphAI-Inc/skills --skill model-office -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-office, .gemini/skills/model-office, .github/skills/model-office and .opencode/skills/model-office in your project.

What does Model Office need to run?

Going by SKILL.md and its folder, Model Office needs Python and JavaScript for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named OPENAI_API_KEY, ANTHROPIC_API_KEY and PERPLEXITY_API_KEY. Our summary lists: Python 3; Node.js; A credential in ANTHROPIC_API_KEY; A credential in OPENAI_API_KEY.

Does Model Office access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Model Office 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Model Office use?

No licence was found for Model Office or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Model Office use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Model Office?

Skills that share tags, products or a category with Model Office: Pixel Face (Cotal-AI/Cotal, 315 stars), MemPalace Task Handoff (MemPalace/mempalace, 59k stars), Planning And Task Breakdown (abashev/vfs-s3, 106 stars) and Incremental Implementation (addyosmani/agent-skills, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Office?

SylphAI-Inc (a GitHub organization) maintains it in SylphAI-Inc/skills, which has 112 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 22, 2026.

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