Apple Mail Search 2

Organization

sundial-org

apple-mail-search-2

Fast Apple Mail search via SQLite on macOS. Search emails by subject, sender, date, attachments - results in ~50ms vs 8+ minutes with AppleScript. Use when asked to find, search, or list emails.

Overview

Publisher	sundial-org
Repository	`awesome-openclaw-skills`
Skill name	`apple-mail-search-2`
Stars	664
Forks	97
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by sundial-org on GitHub. Read the source before you install it.

Installation

Install the Apple Mail Search 2 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.
https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/apple-mail-search-2
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/apple-mail-search-2

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/sundial-org/awesome-openclaw-skills.git /tmp/awesome-openclaw-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-openclaw-skills/skills/apple-mail-search-2 .claude/skills/apple-mail-search-2

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apple Mail Search 2 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 Apple Mail Search 2 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 Apple Mail Search 2 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.

Apple Mail Search

Search Apple Mail.app emails instantly via SQLite. ~50ms vs 8+ minutes with AppleScript.

Installation

bash
# Copy mail-search to your PATH
cp mail-search /usr/local/bin/
chmod +x /usr/local/bin/mail-search

Usage

bash
mail-search subject "invoice"           # Search subjects
mail-search sender "@amazon.com"        # Search by sender email
mail-search from-name "John"            # Search by sender name
mail-search to "recipient@example.com"  # Search sent mail
mail-search unread                      # List unread emails
mail-search attachments                 # List emails with attachments
mail-search attachment-type pdf         # Find PDFs
mail-search recent 7                    # Last 7 days
mail-search date-range 2025-01-01 2025-01-31
mail-search open 12345                  # Open email by ID
mail-search stats                       # Database statistics

Options


-n, --limit N    Max results (default: 20)
-j, --json       Output as JSON
-c, --csv        Output as CSV
-q, --quiet      No headers
--db PATH        Override database path

Examples

bash
# Find bank statements from last month
mail-search subject "statement" -n 50

# Get unread emails as JSON for processing
mail-search unread --json | jq '.[] | .subject'

# Find all PDFs from a specific sender
mail-search sender "@bankofamerica.com" -n 100 | grep -i statement

# Export recent emails to CSV
mail-search recent 30 --csv > recent_emails.csv

Why This Exists

Method	Time for 130k emails
AppleScript iteration	8+ minutes
Spotlight/mdfind	Broken since Big Sur
SQLite (this tool)	~50ms

Apple removed the emlx Spotlight importer in macOS Big Sur. This tool queries the Envelope Index SQLite database directly.

Technical Details

Database: ~/Library/Mail/V{9,10,11}/MailData/Envelope Index

Key tables:

messages - Email metadata (dates, flags, FKs)
subjects - Subject lines
addresses - Email addresses and display names
recipients - TO/CC mappings
attachments - Attachment filenames

Limitations:

Read-only (cannot compose/send)
Metadata only (bodies in .emlx files)
Mail.app only (not Outlook, etc.)

Advanced: Raw SQL

For custom queries, use sqlite3 directly:

bash
sqlite3 -header -column ~/Library/Mail/V10/MailData/Envelope\ Index "
SELECT m.ROWID, s.subject, a.address
FROM messages m
JOIN subjects s ON m.subject = s.ROWID
LEFT JOIN addresses a ON m.sender = a.ROWID
WHERE s.subject LIKE '%your query%'
ORDER BY m.date_sent DESC
LIMIT 20;
"

License

MIT

Frequently asked questions

What does the Apple Mail Search 2 AI skill do?

Fast Apple Mail search via SQLite on macOS. Search emails by subject, sender, date, attachments - results in ~50ms vs 8+ minutes with AppleScript. Use when asked to find, search, or list emails.

Why use Apple Mail Search 2 on TypingMind?

Because you install it once and use it with any model. Apple Mail Search 2 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 Apple Mail Search 2 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/apple-mail-search-2. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Apple Mail Search 2?

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 Apple Mail Search 2?

As many as you like. As long as a model supports skills, you can use Apple Mail Search 2 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apple Mail Search 2 AI skill free?

It is published on GitHub by sundial-org. 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

Apple Mail Search

Installation

Usage

Options

Examples

Why This Exists

Technical Details

Advanced: Raw SQL

License

Frequently asked questions

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