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Google Gmail Skill

Community
zeenie-ai
google-gmail-skill

Send, search, and read Gmail emails. Supports composing emails with attachments, searching by query, and reading email content.

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill namegoogle-gmail-skill
Stars
912
Forks
137
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 zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Google Gmail Skill 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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/productivity_agent/google-gmail-skill .claude/skills/google-gmail-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Gmail Skill 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 Gmail Skill 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 Gmail Skill 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.

Gmail Skill

Send, search, and read emails using Gmail API.

Tool: google_gmail

Consolidated Gmail tool with operation parameter.

Operations

OperationDescriptionRequired Fields
sendSend an emailto, subject, body
searchSearch emails by queryquery
readRead email by IDmessage_id

send - Send an email

FieldTypeRequiredDescription
operationstringYesMust be "send"
tostringYesRecipient email address
subjectstringYesEmail subject line
bodystringYesEmail body (plain text or HTML)
ccstringNoCC recipients (comma-separated)
bccstringNoBCC recipients (comma-separated)
body_typestringNo"text" or "html" (default: text)

Example - Send plain text email:

json
{
  "operation": "send",
  "to": "recipient@example.com",
  "subject": "Meeting Tomorrow",
  "body": "Hi,\n\nJust a reminder about our meeting tomorrow at 2pm.\n\nBest regards"
}

Example - Send HTML email:

json
{
  "operation": "send",
  "to": "recipient@example.com",
  "subject": "Weekly Report",
  "body": "<h1>Weekly Report</h1><p>Here are the highlights...</p>",
  "body_type": "html"
}

search - Search emails

FieldTypeRequiredDescription
operationstringYesMust be "search"
querystringYesGmail search query
max_resultsintegerNoMaximum results (default: 10, max: 100)
include_bodybooleanNoFetch full message body (default: false)

Query Syntax Examples:

  • from:sender@example.com - Emails from specific sender
  • to:recipient@example.com - Emails to specific recipient
  • subject:meeting - Emails with "meeting" in subject
  • has:attachment - Emails with attachments
  • is:unread - Unread emails
  • after:2024/01/01 - Emails after date
  • before:2024/12/31 - Emails before date
  • label:important - Emails with label
  • "exact phrase" - Exact phrase match
  • from:boss@company.com is:unread - Combine multiple filters

Example:

json
{
  "operation": "search",
  "query": "from:client@example.com has:attachment after:2024/01/01",
  "max_results": 20
}

read - Read email content

FieldTypeRequiredDescription
operationstringYesMust be "read"
message_idstringYesGmail message ID from search results
formatstringNo"full", "minimal", "raw", "metadata" (default: full)

Example:

json
{
  "operation": "read",
  "message_id": "abc123"
}

Common Workflows

  1. Check unread emails: Search with is:unread, then read important ones
  2. Find emails from someone: Search with from:email@example.com
  3. Reply to email: Read the email first, then send with same subject prefixed with "Re:"
  4. Forward email: Read email, send to new recipient with "Fwd:" prefix

Setup Requirements

  1. Connect Gmail node to AI Agent's input-tools handle
  2. Authenticate with Google Workspace in Credentials Modal
  3. Ensure Gmail API scopes are authorized

Frequently asked questions

What does the Google Gmail Skill AI skill do?

Send, search, and read Gmail emails. Supports composing emails with attachments, searching by query, and reading email content.

Why use Google Gmail Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/productivity_agent/google-gmail-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Google Gmail Skill?

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 Gmail Skill?

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

Is the Google Gmail Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai 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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