メニュー
Trend analysis across time periods. Compares email activity across days, weeks, or months to surface seasonality, spikes, and long-term patterns.
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SOC 職業分類に基づく
Gmail-first reporting skill suite. Analyzes inbox activity by day, week, month, year, or custom date range with flexible filters for unread messages, spam inclusion, labels, categories, senders, attachments, and response behavior. Generates structured reports in Markdown or PDF. Use when user says "gmail", "report", "inbox", "email", "unread", "spam", "senders", "labels", "response time", "trends", or any Gmail reporting request.
Inbox organization advisor. Detects unlabeled emails, clusters them by sender, domain, subject pattern, and content type, then suggests a complete label taxonomy with Gmail filter rules. Prescriptive counterpart to gmail-labels (which is descriptive). Supports --pdf and --pt (Portuguese).
Attachment analysis skill. Reports on attachment-heavy traffic, large-file patterns, file type distribution, and periods with high file volume.
Gmail category analysis. Breaks down email across Primary, Promotions, Social, Updates, and Forums tabs to measure inbox composition.
Custom date-range reports with mixed filters. Supports arbitrary start/end dates combined with any filter flags for fully flexible reporting.
Label distribution analysis. Breaks down email volume by Gmail labels to show how the inbox is organized and which labels receive the most traffic.
| name | gmail-trends |
| description | Trend analysis across time periods. Compares email activity across days, weeks, or months to surface seasonality, spikes, and long-term patterns. |
Identify trends in email activity over time by comparing volumes across days, weeks, or months to detect seasonality, spikes, and behavioral shifts.
/gmail trends year/gmail trends monthscripts/trend_analyzer.py for time-series aggregationGMAIL-REPORT-TRENDS.md