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Gmail Query Syntax

Community
provos
gmail-query-syntax

Reference for Gmail's search query syntax — operators like is:sent, newer_than:, from:, has:attachment, label:, and how they compose. Read this when constructing a Gmail search query string for the google_workspace.gmail_search_messages Code Mode call, especially when filtering by sent vs received, recency, sender, or labels.

Overview

Publisherprovos
Repositoryironcurtain
Skill namegmail-query-syntax
Stars
612
Forks
81
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 provos on GitHub. Read the source before you install it.

Installation

Install the Gmail Query Syntax 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/provos/ironcurtain/tree/master/src/workflow/workflows/test-email-summary/skills/gmail-query-syntax
  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/provos/ironcurtain.git /tmp/ironcurtain
mkdir -p .claude/skills
cp -r /tmp/ironcurtain/src/workflow/workflows/test-email-summary/skills/gmail-query-syntax .claude/skills/gmail-query-syntax
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gmail Query Syntax 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 Gmail Query Syntax 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 Gmail Query Syntax 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 query syntax primer

These tools live on the google-workspace MCP server, sanitized to google_workspace in Code Mode. In Docker Agent Mode the only MCP tool exposed to Claude Code is execute_code; write TypeScript inside it and call the Gmail tools as dotted callables, e.g. google_workspace.gmail_search_messages({ query: "is:sent", pageSize: 3 }).

gmail_search_messages accepts a query parameter that uses Gmail's standard search operator language — the same syntax the Gmail web UI search box accepts. Operators combine with implicit AND; use OR (uppercase) for disjunction and parentheses for grouping.

Note: gmail_search_messages returns message IDs, thread IDs, and URLs only — not full message contents. To read sender, recipient, subject, date, and body for a matched message, follow up with google_workspace.gmail_get_message (single id) or google_workspace.gmail_get_messages_batch (array of ids).

Common operators

OperatorMeaningExample
is:sentMessages the user sent (not received)is:sent
is:unreadUnread messagesis:unread
is:starredStarred messagesis:starred
from:<addr>Sender address (substring or full)from:alice@example.com
to:<addr>Recipient addressto:team@example.com
subject:<text>Subject contains textsubject:"weekly update"
newer_than:<n>dMessages newer than N days (also h, m, y)newer_than:7d
older_than:<n>dMessages older than N (same units)older_than:30d
after:<date>After a date (YYYY/MM/DD)after:2025/01/01
before:<date>Before a datebefore:2025/02/01
has:attachmentMessages with at least one attachmenthas:attachment
label:<name>Messages with the given Gmail labellabel:invoices
in:inboxIn the inbox (excludes archived)in:inbox
in:anywhereIncludes Spam and Trash (rarely needed)in:anywhere

Composing queries

  • Implicit AND: is:sent newer_than:7d -> sent in the last 7 days.
  • Explicit OR with grouping: (from:alice OR from:bob) is:unread.
  • Negation with -: is:sent -label:archived.
  • Quote multi-word values: subject:"quarterly review".

Tips

  • Prefer newer_than:Nd over after: when "the last N days" is what you actually want — after: is calendar-anchored and behaves unexpectedly across timezone boundaries.
  • For "the most recent N sent emails", combine is:sent with the pageSize argument on the dotted call — google_workspace.gmail_search_messages({ query: "is:sent", pageSize: N }) — do not try to express the limit inside the query string. (Pagination tokens come back as pageToken and are passed back in via the same argument name on the next call if you need to walk past the first page.)
  • The query is case-insensitive for operator names but case-sensitive inside quoted values.

Frequently asked questions

What does the Gmail Query Syntax AI skill do?

Reference for Gmail's search query syntax — operators like is:sent, newer_than:, from:, has:attachment, label:, and how they compose. Read this when constructing a Gmail search query string for the google_workspace.gmail_search_messages Code Mode call, especially when filtering by sent vs received, recency, sender, or labels.

Why use Gmail Query Syntax on TypingMind?

Because you install it once and use it with any model. Gmail Query Syntax 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 Gmail Query Syntax in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/provos/ironcurtain/tree/master/src/workflow/workflows/test-email-summary/skills/gmail-query-syntax. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gmail Query Syntax?

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 Gmail Query Syntax?

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

Is the Gmail Query Syntax AI skill free?

Yes. It is published on GitHub by provos 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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