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Google Workspace

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mitsuhiko
google-workspace

Access Google Workspace APIs (Drive, Docs, Calendar, Gmail, Sheets, Slides, Chat, People) via local helper scripts without MCP. Handles OAuth login and direct API calls.

Overview

Publishermitsuhiko
Repositoryagent-stuff
Skill namegoogle-workspace
Stars
3.1K
Forks
224
Bundled files
5
LicenseApache-2.0
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 mitsuhiko on GitHub. Read the source before you install it.

Installation

Install the Google Workspace 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/mitsuhiko/agent-stuff.git /tmp/agent-stuff
mkdir -p .claude/skills
cp -r /tmp/agent-stuff/skills/google-workspace .claude/skills/google-workspace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Workspace 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 Google Workspace 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 Google Workspace 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.

Google Workspace

Use this skill for Google Workspace tasks (Gmail, Drive, Calendar, Docs, Sheets, etc.).

Files

  • scripts/auth.js — OAuth login/status/clear + account enumeration
  • scripts/workspace.js — JavaScript execution based API runner

Account model (multi-account)

This skill is profile-based by email address.

  • There is no default account.
  • Every API call must specify --email <account@example.com>.
  • Tokens are stored per-email under ~/.pi/google-workspace/tokens/.

Before running API calls, discover available signed-in accounts:

bash
node scripts/auth.js accounts

Usage

Always use exec and always provide --email.

bash
node scripts/workspace.js exec --email user@example.com <<'JS'
const me = await workspace.whoAmI();
const files = await workspace.call('drive', 'files.list', {
  pageSize: 5,
  fields: 'files(id,name,mimeType)',
});
return { me, files: files.files };
JS

Available inside exec scripts:

  • auth (authorized OAuth client)
  • google (googleapis root)
  • workspace.accountEmail (selected profile email)
  • workspace.call(service, methodPath, params, {version})
  • workspace.service(service, {version})
  • workspace.whoAmI()

Optional flags:

  • --timeout <ms> (default 30000, max 300000)
  • --scopes s1,s2
  • --script 'return 42'

Agent guidance

  1. Prefer one exec script per user request.
  2. Keep payloads small (fields, maxResults, minimal props).
  3. Use Promise.all for independent requests.
  4. Never print token contents.
  5. If the user did not specify an account, run node scripts/auth.js accounts and choose/confirm an explicit email.
  6. If auth fails, first run node scripts/auth.js accounts to see known profiles.
  7. If account mismatch is possible, run workspace.whoAmI() in the selected profile.
  8. On 401/403/unauthorized errors, switch account (--email ...) or re-login that specific profile.

Unauthorized/account-switch playbook

If a request fails with unauthorized/forbidden/insufficient permissions:

  1. Enumerate profiles:
bash
node scripts/auth.js accounts
  1. Retry with the intended account:
bash
node scripts/workspace.js exec --email correct-user@example.com <<'JS'
return await workspace.whoAmI();
JS
  1. If token is stale or missing scopes, re-login that account:
bash
node scripts/auth.js login --email correct-user@example.com
  1. Retry the original request with the same --email.

Short Gmail counting example

bash
node scripts/workspace.js exec --email user@example.com <<'JS'
const gmail = google.gmail({ version: 'v1', auth });

let trash = 0;
let pageToken;
do {
  const res = await gmail.users.messages.list({
    userId: 'me',
    q: 'in:trash',
    maxResults: 500,
    pageToken,
    fields: 'messages/id,nextPageToken',
  });
  trash += (res.data.messages || []).length;
  pageToken = res.data.nextPageToken;
} while (pageToken);

return { currentlyInTrash: trash };
JS

Setup + auth

bash
node scripts/auth.js login --email user@example.com

Notes:

  • Dependencies auto-install on first run.
  • Default auth mode is cloud (no local credentials.json needed).
  • Optional local mode: GOOGLE_WORKSPACE_AUTH_MODE=local and credentials at ~/.pi/google-workspace/credentials.json.
  • Useful diagnostics:
bash
node scripts/auth.js accounts
node scripts/auth.js status --email user@example.com
node scripts/auth.js clear --email user@example.com

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 Google Workspace AI skill do?

Access Google Workspace APIs (Drive, Docs, Calendar, Gmail, Sheets, Slides, Chat, People) via local helper scripts without MCP. Handles OAuth login and direct API calls.

Why use Google Workspace on TypingMind?

Because you install it once and use it with any model. Google Workspace 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 Google Workspace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mitsuhiko/agent-stuff/tree/main/skills/google-workspace. 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 Google Workspace?

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 Google Workspace?

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

Is the Google Workspace AI skill free?

Yes. It is published on GitHub by mitsuhiko under the Apache-2.0 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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