Email Triage Responder

Email Triage Responder

Overview

Analyze inbox emails to identify action-required items, prioritize them by urgency and importance using a 4-quadrant matrix, classify by topic (vendor inquiry, internal request, client follow-up), and generate contextual draft responses in appropriate tone and language. Integrates with Gmail/Outlook via gogcli or MCP tools to surface unread emails requiring attention.

When to Use

• Triaging a large inbox with many unread emails
• Prioritizing which emails need immediate attention
• Classifying emails by topic or sender type
• Generating draft responses for common email types
• Tracking response status across multiple emails
• Processing emails in bulk with consistent prioritization

Prerequisites

• Python 3.9+
• gogcli configured with Gmail OAuth (for Gmail integration)
• Or Outlook MCP server configured (for Outlook integration)
• No additional API keys required beyond email access

Workflow

Step 1: Fetch Unread Emails

Use gogcli or MCP tools to retrieve unread emails from the inbox.

# Gmail via gogcli
gogcli gmail messages list --query "is:unread" --format json --max-results 50

# Or use MCP server for Outlook
# (MCP tool invocation handled by Claude)

Step 2: Parse and Analyze Emails

Run the triage script to classify and prioritize emails.

python3 scripts/triage_emails.py \
  --input emails.json \
  --output triage_report.json

The script performs:

1. Urgency Detection: Identifies time-sensitive language, deadlines, escalation markers
2. Importance Classification: Evaluates sender (VIP, manager, client), CC/BCC patterns
3. Topic Classification: Categorizes as vendor inquiry, internal request, client follow-up, FYI, etc.
4. Action Detection: Determines if response, review, or delegation is needed

Step 3: Generate Priority Matrix

Categorize emails into 4 quadrants:

| Quadrant | Urgency | Importance | Action | |----------|---------|------------|--------| | Q1 | High | High | Respond immediately | | Q2 | Low | High | Schedule focused time | | Q3 | High | Low | Delegate or quick reply | | Q4 | Low | Low | Batch process or archive |

Step 4: Draft Contextual Responses

For each action-required email, generate a draft response:

python3 scripts/triage_emails.py \
  --input emails.json \
  --output drafts.json \
  --generate-drafts \
  --tone professional \
  --language auto

Draft generation considers:

• Tone: Professional, friendly, formal (matches sender's tone)
• Language: Auto-detect from original email (EN, JA, etc.)
• Context: Previous thread history, sender relationship
• Action Type: Acknowledgment, answer, request for info, delegation

Step 5: Track Response Status

Maintain a tracking file for email response status:

python3 scripts/triage_emails.py \
  --input emails.json \
  --status-file email_status.json \
  --update-status

Status tracking fields:

• email_id: Unique identifier
• status: pending, draft_ready, sent, delegated, archived
• assigned_to: Owner if delegated
• due_date: Expected response deadline
• last_updated: Timestamp of last status change

Step 6: Generate Summary Report

Create a triage summary for review:

python3 scripts/triage_emails.py \
  --input emails.json \
  --output triage_report.md \
  --format markdown

Output Format

JSON Report

{
  "schema_version": "1.0",
  "generated_at": "2024-01-15T09:30:00Z",
  "summary": {
    "total_emails": 25,
    "action_required": 12,
    "by_quadrant": {
      "Q1_urgent_important": 3,
      "Q2_important_not_urgent": 5,
      "Q3_urgent_not_important": 2,
      "Q4_neither": 15
    },
    "by_topic": {
      "client_followup": 4,
      "internal_request": 6,
      "vendor_inquiry": 3,
      "fyi_informational": 8,
      "meeting_scheduling": 4
    }
  },
  "emails": [
    {
      "id": "msg_12345",
      "from": "client@example.com",
      "subject": "Urgent: Contract Review Needed",
      "received_at": "2024-01-15T08:00:00Z",
      "quadrant": "Q1",
      "urgency_score": 0.9,
      "importance_score": 0.85,
      "topic": "client_followup",
      "action_required": "respond",
      "detected_deadline": "2024-01-16T17:00:00Z",
      "draft_response": "Thank you for sending the contract...",
      "status": "draft_ready"
    }
  ]
}

Markdown Report

# Email Triage Report

**Generated**: 2024-01-15 09:30 AM
**Total Emails**: 25 | **Action Required**: 12

## Priority Matrix

### Q1: Urgent & Important (3 emails)
| From | Subject | Deadline | Status |
|------|---------|----------|--------|
| client@example.com | Urgent: Contract Review | Jan 16 | Draft Ready |

### Q2: Important, Not Urgent (5 emails)
...

## Topic Breakdown

- Client Follow-ups: 4
- Internal Requests: 6
- Vendor Inquiries: 3

## Recommended Actions

1. **Respond immediately** to 3 Q1 emails
2. **Schedule 30 min** for 5 Q2 emails
3. **Delegate** 2 Q3 emails to team

Resources

• scripts/triage_emails.py -- Main triage and draft generation script
• references/email-classification.md -- Topic taxonomy and urgency markers
• references/response-templates.md -- Draft response templates by category

Key Principles

1. Eisenhower Matrix: Prioritize by urgency × importance, not just recency
2. Context-Aware Drafts: Match tone/language to sender and relationship
3. Actionable Outputs: Every email gets a clear next action (respond, delegate, archive)
4. Batch Efficiency: Process similar emails together to reduce context switching
5. Status Tracking: Maintain visibility into response pipeline to prevent dropped balls

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: takusaotome
• Source: takusaotome/claude-skills-library
• License: MIT
• Homepage: https://takusaotome.github.io/claude-skills-library/

Install and usage instructions live in the source repository linked above.