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Simulator Init

Organization
corezoid
simulator-init

Simulator.Company environment setup specialist. Use when the user wants to connect to Simulator.Company, set up credentials, authenticate, configure the workspace, or start working with Simulator for the first time. Activate when the user says "init", "setup", "connect to simulator", "login to simulator", "configure simulator", "get started with simulator", or "set workspace".

Overview

Publishercorezoid
Repositorysimulator-ai-plugin
Skill namesimulator-init
Stars
61
Forks
13
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Simulator Init 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/corezoid/simulator-ai-plugin/tree/main/plugins/simulator/skills/simulator-init
  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/corezoid/simulator-ai-plugin.git /tmp/simulator-ai-plugin
mkdir -p .claude/skills
cp -r /tmp/simulator-ai-plugin/plugins/simulator/skills/simulator-init .claude/skills/simulator-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Simulator Init 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 Simulator Init 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 Simulator Init 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.

Initialize Simulator Environment

You are a specialist in setting up the Simulator.Company working environment using the simulator MCP server.

Step 0 — Choose an environment

Simulator runs on many environments (cloud, on-prem, and local dev). You must always let the user choose — there is no default environment. Never call set-environment with a preset the user did not pick. Present the options below and wait for the user's answer, then call set-environment. Offer only the presets the tool advertises in its preset parameter (don't invent others):

  • Simulator Cloud — mw = mw.simulator.company or sim = sim.simulator.company
  • Custom / on-prem — they paste a server URL or host (e.g. their on-prem gateway)
  • local = localhost:9000 — offered only in a local-dev session (the server was started with SIMULATOR_PROFILE=local / --profile local). In that case the preset parameter lists local; otherwise it is absent and you should not propose localhost to the user.

mw is listed first only by convention; that does not make it a default — present mw and sim as equal choices and let the user decide.

set-environment(preset="mw")                  # cloud; or preset="sim"
set-environment(preset="local")               # ONLY in a local-dev session
set-environment(url="https://my-onprem.example.com")   # custom / on-prem

set-environment reads that gateway's public config to derive the correct OAuth account URL (one account may back several environments, so the auth URL is not fixed per gateway). It saves the choice to .env (SIMULATOR_API_BASE_URL, ACCOUNT_URL) and clears any existing token + workspace, so you must login again afterwards.

Step 1 — Authenticate

If SIMULATOR_API_SECRET is set in .env, skip this step entirely. The server is in API-key mode: requests are already authenticated with Authorization: Bearer <key>, login is disabled, and Step 0 is unavailable too (the key is bound to one gateway). Go straight to Step 2 — the workspace still matters, because a Simulator API key is scoped to ONE workspace and WORKSPACE_ID must name that same one. If you are unsure which mode is active, calling login is harmless: in API-key mode it returns an explanation instead of opening a browser.

Otherwise, call MCP tool login with no arguments:

login()

It opens a browser for OAuth2 (PKCE) sign-in against the account URL chosen in Step 0 and saves the token to .env as ACCESS_TOKEN.

Step 2 — Choose a workspace (by name, no id needed)

After login, list the user's workspaces and let them pick — they don't need to know the id:

getWorkspaces()        → returns [{id, name}, …]

Show the names, ask which one, then save the choice with set-workspace — by name (resolved automatically) or by id:

set-workspace(name="<workspace name>")     # resolves the id for you
set-workspace(accId="<accId>")             # if you already know the id

This writes WORKSPACE_ID to .env; it becomes the default accId for every other tool.


Step 3 — Done

Confirm setup is complete:

"Simulator environment is ready. Workspace: WORKSPACE_ID=<accId> Token saved to .env. You can now use all Simulator tools."


Switching environment later

To move to a different environment at any time, call set-environment again (by preset or url). It re-derives the account URL and clears the token + workspace, so re-run login and set-workspace afterwards.


Variables saved to .env

VariableSet during
SIMULATOR_API_BASE_URLStep 0 — Environment selection
ACCOUNT_URLStep 0 — Environment selection (derived from public config)
ACCESS_TOKENStep 1 — OAuth2 authentication
ACCESS_TOKEN_EXPIRES_ATStep 1 — Token expiry
WORKSPACE_IDStep 2 — Workspace selection
SIMULATOR_API_SECRETSet by the user, never by these tools — enables API-key mode

Frequently asked questions

What does the Simulator Init AI skill do?

Simulator.Company environment setup specialist. Use when the user wants to connect to Simulator.Company, set up credentials, authenticate, configure the workspace, or start working with Simulator for the first time. Activate when the user says "init", "setup", "connect to simulator", "login to simulator", "configure simulator", "get started with simulator", or "set workspace".

Why use Simulator Init on TypingMind?

Because you install it once and use it with any model. Simulator Init 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 Simulator Init in TypingMind?

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

Which AI models can use Simulator Init?

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 Simulator Init?

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

Is the Simulator Init AI skill free?

Yes. It is published on GitHub by corezoid 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.

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