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Implement day-by-day, week-by-week, and monthly breakdowns with JSON/CSV export capabilities for in-depth token savings analysis and reporting. New Features: - Daily breakdown (--daily): Complete day-by-day statistics without 30-day limit - Weekly breakdown (--weekly): Sunday-to-Saturday week aggregations with date ranges - Monthly breakdown (--monthly): Calendar month aggregations (YYYY-MM format) - Combined view (--all): All temporal breakdowns in single output - JSON export (--format json): Structured data for APIs, dashboards, scripts - CSV export (--format csv): Tabular data for Excel, Google Sheets, data science Technical Implementation: - src/tracking.rs: Add DayStats, WeekStats, MonthStats structures with Serialize - src/tracking.rs: Implement get_all_days(), get_by_week(), get_by_month() SQL queries - src/main.rs: Extend Commands::Gain with --daily, --weekly, --monthly, --all, --format flags - src/gain.rs: Add print_daily_full(), print_weekly(), print_monthly() display functions - src/gain.rs: Implement export_json() and export_csv() for data export Documentation: - docs/AUDIT_GUIDE.md: Comprehensive guide with examples, workflows, integrations - README.md: Update Data section with new audit commands and export formats - claudedocs/audit-feature-summary.md: Technical summary and implementation details Database Scope: - Global machine storage: ~/.local/share/rtk/history.db - Shared across all projects, worktrees, and Claude sessions - 90-day retention policy with automatic cleanup - SQLite with indexed timestamp for fast aggregations Use Cases: - Trend analysis: identify daily/weekly patterns in token usage - Cost reporting: monthly savings reports for budget tracking - Data science: export CSV/JSON for pandas, R, Excel analysis - Dashboards: integrate JSON export with Chart.js, D3.js, Grafana - CI/CD: automated weekly/monthly savings reports via GitHub Actions Examples: rtk gain --daily # Day-by-day breakdown rtk gain --weekly # Weekly aggregations rtk gain --all # All breakdowns combined rtk gain --all --format json | jq . # JSON export with jq rtk gain --all --format csv # CSV for Excel/analysis Backwards Compatibility: - All existing flags (--graph, --history, --quota) preserved - Default behavior unchanged (summary view) - No database migration required - Zero breaking changes Performance: - Efficient SQL aggregations with timestamp index - No impact on rtk command execution speed - Instant queries even with 90 days of data Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>