Integration logo

Integration

Organization
robium-ai
integration

Wire robotics modules with ROS 2 interfaces, Docker Compose, or non-ROS transports.

Overview

Publisherrobium-ai
Repositoryrobium
Skill nameintegration
Stars
104
Forks
2
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by robium-ai on GitHub. Read the source before you install it.

Installation

Install the Integration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/robium-ai/robium/tree/main/skills/integration
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/robium-ai/robium.git /tmp/robium
mkdir -p .claude/skills
cp -r /tmp/robium/skills/integration .claude/skills/integration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Integration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Integration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Integration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Integration

Every module boundary needs an explicit contract: why the boundary exists, what crosses it, how peers discover each other, and how failure is observed.

Draw boundaries for a reason

  • Split components with different rates when sharing an executor or process can starve the faster loop.
  • Split failure domains when one component must restart, scale, or exhaust memory without taking down another.
  • Keep tightly coupled code together when neither rate nor failure isolation justifies serialization and deployment overhead.
  • Make each container a supervisable unit. Multiple processes may belong together, but their shared lifecycle should be intentional.

Choose the boundary contract

  • Inside one ROS 2 system, default to ROS topics, services, and actions.
  • Crossing hosts or containers does not by itself require a new application protocol; configure ROS discovery explicitly first.
  • Use gRPC or REST at a genuine non-ROS system or organizational boundary.
  • Use shared memory or zero-copy paths only after measurement shows copying is the bottleneck.
  • Treat names, schemas, QoS, time, backpressure, health, restart behavior, and ownership as part of the interface.

Read communication selection when choosing between ROS 2, DDS discovery options, Zenoh, gRPC, REST, or shared memory.

Package the running system

  • Use separate build and runtime stages for shipped modules; leave compilers and build-only dependencies behind.
  • Give each service a health signal that proves readiness, not merely a live process.
  • Make network mode, ROS_DOMAIN_ID, discovery, volumes, devices, and shutdown behavior visible in the composition.
  • A successful docker compose up proves process creation, not communication. Verify real cross-boundary messages.

Read the Dockerfile guide for build/runtime structure and signal handling. Read compose patterns for DDS discovery, health, domains, and networking. Use the examples only as starting shapes and verify them in the target environment.

Use environments for one module's reproducibility and GPU/runtime contract. Use ros2 when the failed interface is within a healthy ROS graph. Use foxglove only when the boundary is specifically remote visualization.

Done

  • Each split has a rate, failure, deployment, or ownership reason.
  • Every boundary has an explicit protocol and interface contract.
  • Peers discover each other in the real host/container topology.
  • Health and shutdown behavior are observable and scoped to the failed unit.
  • A real message or request proves each changed boundary end to end.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Integration AI skill do?

Wire robotics modules with ROS 2 interfaces, Docker Compose, or non-ROS transports.

Why use Integration on TypingMind?

Because you install it once and use it with any model. Integration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Integration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/robium-ai/robium/tree/main/skills/integration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Integration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Integration?

As many as you like. As long as a model supports skills, you can use Integration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Integration AI skill free?

Yes. It is published on GitHub by robium-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇