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Dimension Door

Community
Hmbown
dimension-door

Dimension Door is the quick-switch spell: branch to branch, environment to environment, project to project. It is not a migration and it is not discovery. It assumes both endpoints are known, prepared, and close enough in shape that you can step across with only the context you actually need.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill namedimension-door
Stars
106
Forks
10
Bundled files
Instructions only
LicenseCC0-1.0
Links
Skill sourceRepository
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Hmbown on GitHub. Read the source before you install it.

Installation

Install the Dimension Door 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.
  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/Hmbown/Wizards-of-the-Ghosts.git /tmp/Wizards-of-the-Ghosts
mkdir -p .claude/skills
cp -r /tmp/Wizards-of-the-Ghosts/generated/hermes/actions-access-and-automation/dimension-door .claude/skills/dimension-door
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dimension Door 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 Dimension Door 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 Dimension Door 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.

Dimension Door

Jump cleanly between two known contexts without dragging the whole room.

What This Skill Does

Dimension Door is the quick-switch spell: branch to branch, environment to environment, project to project. It is not a migration and it is not discovery. It assumes both endpoints are known, prepared, and close enough in shape that you can step across with only the context you actually need. In this grimoire, Dimension Door is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Dimension Door (spell).

When To Use

  • "switch between", "jump to", "toggle", "context switch", "hop over"
  • Named endpoints: "from X to Y", "branch A to branch B", "staging to prod"
  • "come back", "get back to", "without losing", "keep alive"
  • Temporary investigation: "quickly check", "need to look at", "then return"
  • Parallel sessions: "both need to stay live", "keep both running"
  • User names specific source AND destination (branches, environments, accounts, clusters, terminals, workspaces)
  • The switch is temporary and reversible
  • The challenge is preserving state/context, not transforming systems

Prerequisites

  • No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. LOCK SOURCE STATE: Identify exactly what must be preserved — open files, running processes, env vars, credentials, branch state, terminal history, REPL state.
  3. PACKAGE CONTEXT: Create the minimum viable snapshot — bookmark current location, save env state, note uncommitted changes, record running service PIDs.
  4. EXECUTE SWITCH: Provide the exact commands to move to destination — git checkout, kubectl config use-context, aws configure, tmux switch, etc.
  5. PREPARE REENTRY: Give the reverse commands and state-restoration steps so the user can return to source without confusion.
  6. CALL OUT HIDDEN STATE: Warn about any state left behind that could cause confusion (running servers, uncommitted work, active sessions).
  7. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • Context-switch checklist (what to save before leaving)
  • State inventory (what travels with you)
  • Switch commands (source → destination)
  • Reentry commands (destination → source)
  • Hidden state warnings

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Do not use quick-switch assumptions for migrations, unknown environments, or destructive cutovers.
  • Call out any hidden state that would be left behind and cause confusion on arrival.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check that the metaphor still maps cleanly to a real operational mechanism.

Example Invocation

text
/dimension-door help me jump between these two known contexts with only the state I actually need to carry

Frequently asked questions

What does the Dimension Door AI skill do?

Dimension Door is the quick-switch spell: branch to branch, environment to environment, project to project. It is not a migration and it is not discovery. It assumes both endpoints are known, prepared, and close enough in shape that you can step across with only the context you actually need.

Why use Dimension Door on TypingMind?

Because you install it once and use it with any model. Dimension Door 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 Dimension Door in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/actions-access-and-automation/dimension-door. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dimension Door?

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 Dimension Door?

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

Is the Dimension Door AI skill free?

Yes. It is published on GitHub by Hmbown under the CC0-1.0 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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