Google Chat

Community

antoniolg

google-chat

Read Google Chat spaces/threads via the Chat API, create/refresh OAuth tokens, parse Gmail Chat URLs, and list spaces. Use when asked to look up or verify messages in Google Chat or when you need API access to Chat from the CLI.

Overview

Publisher	antoniolg
Repository	`agent-kit`
Skill name	`google-chat`
Stars	97
Forks	16
Bundled files	5
Links	Skill source Repository

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 antoniolg 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.

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.
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/antoniolg/agent-kit.git /tmp/agent-kit
mkdir -p .claude/skills
cp -r /tmp/agent-kit/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

Overview

Use this skill to read Google Chat messages from specific spaces or threads using local OAuth credentials.

Quick start

Create/refresh the Chat OAuth token:

bash
python scripts/chat_auth.py

Fetch messages from a space:

bash
python scripts/chat_fetch.py \
  --space AAAAAAA... \
  --limit 50

Fetch messages from a Gmail Chat URL (auto-extracts space/thread):

bash
python scripts/chat_fetch.py \
  --space "https://mail.google.com/chat/u/0/#chat/space/..." \
  --limit 50

Common tasks

Authenticate or refresh token

Run scripts/chat_auth.py.
If browser login is blocked, pass --no-browser to use the console flow.
Token is stored at ~/.config/google-chat/token.json by default.

List spaces

bash
python scripts/chat_list_spaces.py

Fetch messages from a thread

bash
python scripts/chat_fetch.py \
  --space AAAAAAA... \
  --thread THREAD_ID \
  --limit 50

Output formats

Default output is text (timestamp | sender | text | message name).
Use --format json to get a JSON payload with messages and nextPageToken.

Notes

If a Chat URL is provided, extract the space/thread IDs and use them directly.
Keep output scoped to what the user asked for; avoid dumping full histories by default.
Default client secret path is ~/.config/skills/client_secret.json. If missing, pass --client-secret explicitly (recommended to document the path in AGENTS.md).

References

references/setup.md

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?

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/antoniolg/agent-kit/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?

It is published on GitHub by antoniolg. Check the repository for licensing terms. 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

Google Chat

Overview

Quick start

Common tasks

Authenticate or refresh token

List spaces

Fetch messages from a thread

Output formats

Notes

References

Bundled files

Frequently asked questions

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