architect

architect is a skill for Claude Code from robium-ai/robium. It costs 191 tokens per session (3,866 once invoked), scanned A, a copy of architect, MIT.

A starting point for designing a robotics application with AI agents. It turns the project requirements into choices for the robot software, simulator, data, visual tools, training system, and initial project structure.

In plain words
What is it for?
Use it to select a complete robotics technology stack, create a scaffold plan, write an architecture brief, and find the right follow-up skills.
Why use it?
It helps when the project idea is clear but the technology choices and build order are not.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the robium plugin — 72 skills, 1 agent, 6 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/robium-ai/robium/1.3.1
Any agent
npx skills add robium-ai/robium --skill 1.3.1
Clone the repo
git clone --depth 1 https://github.com/robium-ai/robium

Made for: Claude Code.

Or install robium, the plugin that ships this one along with the rest of its 72 skills, 1 agent, 6 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/robium-ai/robium/1.3.1.svg)](https://agentmods.dev/skills/robium-ai/robium/1.3.1)
Your own site
<a href="https://agentmods.dev/skills/robium-ai/robium/1.3.1"><img src="https://agentmods.dev/badge/skills/robium-ai/robium/1.3.1.svg" alt="Measured on agentmods" height="20"></a>
Per session 191 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00191 $0.03866
Opus 5 $0.00096 $0.01933
Sonnet 5 $0.00038 $0.00773
Haiku 4.5 $0.00019 $0.00387

Measured 5d ago against content hash eb9b71420cc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to architect — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

archive/architect/1.3.1/SKILL.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

architect

The entry point to robium. Given a robotics application idea, this skill turns requirements into a concrete stack decision — middleware, simulation, data, visualization, and training frameworks — plus a scaffold plan and a written architecture brief. It is the only skill that knows the whole robium catalog; everything else is reached by routing from here. Load it first on any new robotics app, then hand off to the domain skills for the actual build.

When to use this skill

  • Starting a brand-new robotics application from a rough idea ("build a mobile robot that navigates a warehouse", "train a manipulation policy on an arm").
  • The requirements exist but the stack is unchosen, or half-chosen and you want a sanity check before committing.
  • You need a durable, written architecture record the whole project builds from.
  • You want the routing map: "which robium skill do I load for phase X?"
  • Open-ended or backlog-driven kickoffs ("let's do demo 1", a vague feature idea) start with brainstorming@superpowers — it owns requirements-gathering. Architect takes over once requirements are settled (robot type, task, hardware, sim-vs-real, GPU) to make the stack decision itself, rather than brainstorming's own research improvising it.
  • Cross-references — go straight to the tool skill, skipping architect, when the stack is already chosen and the question is narrow:
    • Debugging or configuring an existing stack → the matching tool skill (nav2, ros2, gazebo, lerobot, …). "My costmap isn't updating" is a nav2 question, not an architect question.
    • Authoring or improving robium skills themselves → skill-author.
    • Deep-diving one decision (uv vs Docker, which visualizer) → the umbrella that owns it (environments, visualization); architect points you there.

Key directives

  • Delegation posture: route + embed the decision logic. The decisions (which stack, why) live here; the how-to lives in the skill each decision routes to. Never duplicate a tool skill's content — link to it.
  • Always produce or update docs/architecture-brief.md in the app repo. It is the living architecture contract — every later build step reads from it, and refinements edit it in place. No brief, not done. Use references/brief-template.md for its required sections.
  • Virtual-environment-first. Reproducibility is decided before code: route the env question to the environments skill (uv/venv vs Docker) and record the choice in the brief. Do not let a project start with an ad-hoc setup.
  • Never invent syntax or tools. Recommend only real, current tools at versions you have verified — robium ships curation, not a framework. When a version fact matters (ROS 2 distro, Gazebo pairing, GPU floor), confirm it against current docs (e.g. docs.ros.org for ROS 2 distro/EOL status) rather than memory. See references/stack-selection.md for the verified defaults this skill ships with.
  • State open risks explicitly in the brief. Unverified assumptions (GPU availability, hardware you can't see, sim-to-real gaps) go in the brief's open-risks section, not silently into a decision.

Read the full file on GitHub · 256 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 256 lines · 191 tokens per session scan A eb9b71420cc4

Subscribe to this mod's changes

architect is a skill published in the GitHub repository robium-ai/robium (9 stars, last pushed 7d ago), licensed MIT. It adds 191 tokens to every session and 3,866 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to architect, differing in 28 lines, and is treated as a copy.

Related

Other skills, from other repositories

spark-environment-setup

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.

wshobson/agents · 76 tokens

spark-memory-thermal-ops

Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.

wshobson/agents · 59 tokens

spark-training-gotchas

Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

wshobson/agents · 63 tokens

terraform-module-library

Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

wshobson/agents · 44 tokens

telnyx-iot-curl

Manage IoT SIM cards, eSIMs, data plans, and wireless connectivity. Use when building IoT/M2M solutions. This skill provides REST API (curl) examples.

team-telnyx/ai · 45 tokens

telnyx-networking-curl

Configure private networks, WireGuard VPN gateways, internet gateways, and virtual cross connects. This skill provides REST API (curl) examples.

team-telnyx/ai · 35 tokens