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.
Installable skillMITBy kbarbel640-delUpdated Oct 27, 2026
INTENDED FOROpenClawInstall in a listed agent.
instructions.md
---
name: apple-mail-search
description: 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.
homepage: https://github.com/steipete/clawdbot
metadata: {"clawdbot":{"emoji":"📬","os":["darwin"],"requires":{"bins":["sqlite3"]}}}
---
# 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
---
name: apple-mail-search
description: 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.
homepage: https://github.com/steipete/clawdbot
metadata: {"clawdbot":{"emoji":"📬","os":["darwin"],"requires":{"bins":["sqlite3"]}}}
---
# 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
When the user wants to understand, reduce, or recover from developer churn. Trigger phrases include "why developers leave," "churn rate," "win-back campaign," "at-risk users," "developer retention," "preventing churn," or "competitor switching."
ClaudeCodexCursorSales
jonathimer/devmarketing-skills contributors, via Agentic Awesome Skills
Uncover the functional, emotional and social jobs a customer hires a product to do: progress state, hiring trigger, alternatives, success criteria, JTBD map. Use when you need to understand why users buy, switch or churn, or to anchor positioning, messaging and onboarding in real jobs.
Hilft bei Anlagenliste Verstehen für Menschen mit Deutsch als Zweitsprache. Erklaert Juristendeutsch, klaert Risiko, Frist und naechste Handlung, und formuliert respektvoll in einfachem oder formalem Deutsch im Juristische Sprache Deutsch Als Zweitsprache.