Gws Chat logo

Gws Chat

OrganizationPopular
googleworkspace
gws-chat

Google Chat: Manage Chat spaces and messages.

Overview

Publishergoogleworkspace
Repositorycli
Skill namegws-chat
Stars
31K
Forks
1.8K
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Gws 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.
  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/googleworkspace/cli.git /tmp/cli
mkdir -p .claude/skills
cp -r /tmp/cli/skills/gws-chat .claude/skills/gws-chat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gws 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 Gws 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 Gws 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.

chat (v1)

PREREQUISITE: Read ../gws-shared/SKILL.md for auth, global flags, and security rules. If missing, run gws generate-skills to create it.

bash
gws chat <resource> <method> [flags]

Helper Commands

CommandDescription
+sendSend a message to a space

API Resources

customEmojis

media

  • download — Downloads media. Download is supported on the URI /v1/media/{+name}?alt=media.
  • upload — Uploads an attachment. For an example, see Upload media as a file attachment.

spaces

  • completeImport — Completes the import process for the specified space and makes it visible to users.
  • create — Creates a space. Can be used to create a named space, or a group chat in Import mode. For an example, see Create a space.
  • delete — Deletes a named space. Always performs a cascading delete, which means that the space's child resources—like messages posted in the space and memberships in the space—are also deleted. For an example, see Delete a space.
  • findDirectMessage — Returns the existing direct message with the specified user. If no direct message space is found, returns a 404 NOT_FOUND error. For an example, see Find a direct message. With app authentication, returns the direct message space between the specified user and the calling Chat app.
  • get — Returns details about a space. For an example, see Get details about a space.
  • list — Lists spaces the caller is a member of. Group chats and DMs aren't listed until the first message is sent. For an example, see List spaces.
  • patch — Updates a space. For an example, see Update a space. If you're updating the displayName field and receive the error message ALREADY_EXISTS, try a different display name.. An existing space within the Google Workspace organization might already use this display name.
  • search — Returns a list of spaces in a Google Workspace organization based on an administrator's search. In the request, set use_admin_access to true. For an example, see Search for and manage spaces.
  • setup — Creates a space and adds specified users to it. The calling user is automatically added to the space, and shouldn't be specified as a membership in the request. For an example, see Set up a space with initial members. To specify the human members to add, add memberships with the appropriate membership.member.name. To add a human user, use users/{user}, where {user} can be the email address for the user.
  • members — Operations on the 'members' resource
  • messages — Operations on the 'messages' resource
  • spaceEvents — Operations on the 'spaceEvents' resource

users

  • sections — Operations on the 'sections' resource
  • spaces — Operations on the 'spaces' resource

Discovering Commands

Before calling any API method, inspect it:

bash
# Browse resources and methods
gws chat --help

# Inspect a method's required params, types, and defaults
gws schema chat.<resource>.<method>

Use gws schema output to build your --params and --json flags.

Frequently asked questions

What does the Gws Chat AI skill do?

Google Chat: Manage Chat spaces and messages.

Why use Gws Chat on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/googleworkspace/cli/tree/main/skills/gws-chat. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gws 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 Gws Chat?

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

Is the Gws Chat AI skill free?

Yes. It is published on GitHub by googleworkspace 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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