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Google Chat

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sanjay3290
google-chat

Interact with Google Chat - send, read, edit, delete and react to messages, share images and files, reply in threads, and manage spaces and DMs. Use when user asks to: send a message on Google Chat, read chat messages, list chat spaces, find a chat room, send a DM, share a screenshot or file, edit or delete something already sent, or create a new space. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

Overview

Publishersanjay3290
Repositoryai-skills
Skill namegoogle-chat
Stars
442
Forks
50
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by sanjay3290 on GitHub. Read the source before you install it.

Installation

Install the Google Chat 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/sanjay3290/ai-skills/tree/main/skills/google-chat
  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/sanjay3290/ai-skills.git /tmp/ai-skills
mkdir -p .claude/skills
cp -r /tmp/ai-skills/skills/google-chat .claude/skills/google-chat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Chat 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 Chat 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 Chat 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 Chat

Lightweight Google Chat integration with standalone OAuth authentication. No MCP server required.

⚠️ Requires Google Workspace account. Personal Gmail accounts are not supported.

Everything is sent as the authenticated user, so treat write commands as outward-facing: confirm the exact text with the user before posting to a space, and never send to a channel the user did not name.

First-Time Setup

bash
pip install -r requirements.txt
python scripts/auth.py login     # opens browser
python scripts/auth.py status    # verify
python scripts/auth.py logout

Commands

All operations via scripts/chat.py. Auto-authenticates on first use if not logged in.

Reading

bash
python scripts/chat.py get-messages spaces/AAAA123 --limit 10
python scripts/chat.py get-messages spaces/AAAA123 --limit 10 --raw   # full JSON
python scripts/chat.py get-message spaces/AAAA123/messages/XYZ
python scripts/chat.py list-threads spaces/AAAA123
python scripts/chat.py list-spaces
python scripts/chat.py find-space "Project Alpha"    # ignores punctuation/spacing
python scripts/chat.py list-members spaces/AAAA123

Read output is compact by default — one block per message with its timestamp, sender, text and resource name. That is roughly 14x smaller than the raw API payload, which matters when an agent is paying for every token it reads. Use --raw when you need the full JSON.

Writing

bash
python scripts/chat.py send-message spaces/AAAA123 "Hello team!"
python scripts/chat.py send-dm user@example.com "Hey, quick question..."
python scripts/chat.py reply-in-thread spaces/AAAA123 spaces/AAAA123/threads/T "Following up."
python scripts/chat.py send-media spaces/AAAA123 "Latest mocks" --file a.png --file b.png
python scripts/chat.py edit-message spaces/AAAA123/messages/XYZ "Corrected text."
python scripts/chat.py delete-message spaces/AAAA123/messages/XYZ
python scripts/chat.py delete-message spaces/AAAA123/messages/XYZ --force   # has thread replies
python scripts/chat.py add-reaction spaces/AAAA123/messages/XYZ 👍
python scripts/chat.py setup-space "New Project" user1@example.com user2@example.com
python scripts/chat.py find-dm user@example.com

Add --dry-run to any write command to print the request instead of sending it. Use it when wiring up or testing a flow so nothing lands in a real channel. (For send-dm it reports the resolved recipient rather than the DM space, since resolving that needs a live call.)

Editing and deleting

send-message, send-dm and send-media return the created message's name (spaces/X/messages/Y) — that is what edit-message, delete-message and add-reaction take. You can only edit or delete messages you sent. To fix an older message, find its name with get-messages first.

Attachments

send-media takes a repeatable --file. Google Chat accepts several attachments on one message only when every attachment is media (image or video); a mixed batch is split automatically into one message per file, with the caption on the first. --attachment is still accepted as an alias for a single --file.

Optional aliases

Typing full email addresses and spaces/AAAA... IDs is tedious, and having an agent call list-spaces to find a channel it uses daily is slow. Copy directory.example.json to directory.json and map short names:

json
{
  "users":  { "alex": "alex@example.com" },
  "spaces": { "team": { "id": "spaces/AAAAxxxxxxx", "name": "My Team" } }
}

Then send-message team "Deploying now" and send-dm alex "..." both resolve locally, with no API call. Full emails and spaces/... names keep working everywhere.

directory.json is personal and gitignored. It is entirely optional — without it every command still works, and an unresolvable alias fails immediately with the list of valid ones rather than silently falling back to a scan.

Message formatting

Chat supports *bold*, _italic_, ~strike~, `code`, triple-backtick code blocks, and <url|label> links. It does not support Markdown headings, tables, or []( ) links — they render literally.

Token Management

Tokens stored securely using the system keyring:

  • macOS: Keychain
  • Windows: Windows Credential Locker
  • Linux: Secret Service API (GNOME Keyring, KDE Wallet, etc.)

Service name: google-chat-skill-oauth. Expired tokens refresh automatically.

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 Chat AI skill do?

Interact with Google Chat - send, read, edit, delete and react to messages, share images and files, reply in threads, and manage spaces and DMs. Use when user asks to: send a message on Google Chat, read chat messages, list chat spaces, find a chat room, send a DM, share a screenshot or file, edit or delete something already sent, or create a new space. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

Why use Google Chat on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanjay3290/ai-skills/tree/main/skills/google-chat. 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 Chat?

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 Chat?

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

Is the Google Chat AI skill free?

Yes. It is published on GitHub by sanjay3290 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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