Spatial Interchange

Organization

dcc-mcp

spatial-interchange

Plan deterministic coordinate-axis and unit conversions between DCCs, engines, and interchange formats from explicit right/up/forward axes and meters-per-unit values.

Overview

Publisher	dcc-mcp
Repository	`dcc-mcp-core`
Skill name	`spatial-interchange`
Stars	74
Forks	7
Bundled files	3
License	MIT-0
Links	Skill source Repository Homepage

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by dcc-mcp on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/dcc-mcp/dcc-mcp-core/tree/main/skills/spatial-interchange
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.

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/dcc-mcp/dcc-mcp-core.git /tmp/dcc-mcp-core
mkdir -p .claude/skills
cp -r /tmp/dcc-mcp-core/skills/spatial-interchange .claude/skills/spatial-interchange

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spatial Interchange 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 Spatial Interchange 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 Spatial Interchange 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.

Spatial Interchange

Use plan_conversion before a cross-DCC import or export when source and target coordinate conventions are known. The tool returns a pure conversion plan; the importing or exporting adapter remains responsible for applying it to scene data.

Do not infer a convention from a DCC name alone. Query the live scene, import settings, or file metadata first: Maya up-axis and units are scene settings, Blender FBX axes are operator settings, and USD stages carry upAxis and metersPerUnit metadata.

The 3D Transform Visualizer is a useful educational model for signed right/up/forward bases. It is not a file converter or a source of truth for a live scene.

Workflow

Inspect source file/scene axes and physical units.
Inspect the target scene/importer settings.
Call plan_conversion with explicit signed axes and meters per unit.
Apply the returned plan in the owning adapter/importer.
Validate a landmark point, bounds, face orientation, normals, and animation.

Read references/CONVENTIONS.md for official defaults, runtime caveats, and the rules for positions, directions, transforms, and mesh winding.

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 Spatial Interchange AI skill do?

Plan deterministic coordinate-axis and unit conversions between DCCs, engines, and interchange formats from explicit right/up/forward axes and meters-per-unit values.

Why use Spatial Interchange on TypingMind?

Because you install it once and use it with any model. Spatial Interchange 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 Spatial Interchange in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dcc-mcp/dcc-mcp-core/tree/main/skills/spatial-interchange. 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 Spatial Interchange?

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 Spatial Interchange?

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

Is the Spatial Interchange AI skill free?

Yes. It is published on GitHub by dcc-mcp under the MIT-0 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Spatial Interchange

Workflow

Bundled files

Frequently asked questions

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