Gmail classify
Skill CorentinLumineau/gmail-assistant/skills/gmail-classify
AI-powered email classification using intelligent content analysis. Categorizes emails into Newsletter, Shopping, Work, Personal, Notifications, Receipts, and Promotions. Use for smart inbox organization beyond simple pattern matching.From its SKILL.md
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SKILL.md
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Gmail AI Classifier
Intelligent email classification using AI reasoning for smart inbox organization.
Overview
Unlike pattern-based filtering, AI classification analyzes email content, sender context, and user behavior to make intelligent categorization decisions.
Usage
Syntax: /gmail-classify [days]
Examples:
/gmail-classify # Classify last 7 days
/gmail-classify 30 # Classify last 30 days
/gmail-classify --dry-run # Preview without applying
Classification Categories
| Category | Indicators | Label |
|---|---|---|
| Newsletter | Substack, Mailchimp, "unsubscribe" link | Newsletters |
| Shopping | Order confirmation, shipping, tracking | Shopping |
| Work | Company domain, professional tone | Work |
| Personal | Personal contacts, casual tone | Personal |
| Notifications | GitHub, Slack, calendar alerts | Notifications |
| Receipts | Invoice, payment, receipt keywords | Finance/Receipts |
| Promotions | Discount, sale, marketing language | Promotions |
Classification Workflow
Step 1: Fetch Emails
gog gmail search 'newer_than:${DAYS}d -label:classified' --json
Exclude already-classified emails to avoid re-processing.
Step 2: Analyze Each Email
For each email, analyze:
-
Sender Analysis
- Domain reputation (newsletter service? company?)
- Sender name format (person vs system)
- Reply-to address
-
Subject Analysis
- Keywords (order, invoice, newsletter, etc.)
- Format (numbered list? FW:? RE:?)
- Tone (formal, casual, marketing)
-
Content Indicators
- Unsubscribe link presence
- Tracking numbers
- Financial amounts
- Personal greetings
Step 3: Classify with Confidence
Assign category with confidence level:
| Confidence | Threshold | Action |
|---|---|---|
| High (90%+) | Strong signals | Auto-apply label |
| Medium (70-89%) | Mixed signals | Apply with note |
| Low (<70%) | Unclear | Skip, flag for review |
Step 4: Apply Labels
For high-confidence classifications:
# Ensure label exists
gog gmail labels list --json
gog gmail labels create "CategoryName"
# Apply label
gog gmail modify <message-id> --add-label <label-id>
Step 5: Report Results
## Classification Report
**Period**: Last 7 days
**Emails Analyzed**: 142
**Classifications Made**: 128
**Skipped (low confidence)**: 14
### Summary by Category
| Category | Count | % of Total |
|----------|-------|------------|
| Newsletters | 45 | 35% |
| Notifications | 32 | 25% |
| Shopping | 18 | 14% |
| Work | 15 | 12% |
| Personal | 12 | 9% |
| Receipts | 6 | 5% |
### High-Confidence Classifications (Auto-labeled)
- 98 emails across all categories
### Low-Confidence (Manual Review Needed)
1. "Meeting notes from John" - Work or Personal?
2. "Your weekly summary" - Newsletter or Notification?
...
### Suggested Filters
Based on this analysis, create permanent filters:
1. `/gmail-filter create @substack.com Newsletters --archive`
2. `/gmail-filter create @github.com Notifications`
Classification Signals
Newsletter Signals
- Sender:
newsletter@,digest@,weekly@ - Domains: substack.com, mailchimp.com, beehiiv.com
- Content: "unsubscribe", "view in browser"
- Subject: "Weekly", "Digest", "Newsletter"
Shopping Signals
- Subject: "order", "shipped", "delivered", "tracking"
- Sender: orders@, shipping@, noreply@
- Content: Order numbers, tracking links
Work Signals
- Sender: Company domain match
- Content: Project names, professional terminology
- CC: Multiple company addresses
Personal Signals
- Sender: In contacts, personal domain
- Content: Casual language, personal topics
- No marketing footers
Notification Signals
- Sender: notifications@, alerts@, noreply@
- Subject: [GitHub], [Slack], calendar patterns
- Content: Action buttons, status updates
Receipt Signals
- Subject: "receipt", "invoice", "payment"
- Content: Dollar amounts, transaction IDs
- Sender: billing@, receipts@
Dry Run Mode
Preview classifications without applying:
/gmail-classify --dry-run
Shows what would be classified without making changes.
Error Handling
- No emails found: Suggest widening date range
- Label creation fails: Check permissions
- API rate limit: Pause and resume
- Classification uncertain: Flag for user review
See Also
references/categories.md- Detailed category definitions/gmail-analyze- Pattern analysis (faster, simpler)/gmail-filter- Create permanent rules from classifications
What ships with it: 1 file
4.6 KB alongside SKILL.md
references/
- categories.md4.6 KB