fill-timesheet

To fill timesheet gaps, the skill analyzes your last 5 weeks of TRS time entries to calculate weekly targets and identify recurring tickets, then proposes believable time-entry suggestions distributed across current-week days. It references real tickets and prior comments to ensure suggestions match your historical worklog patterns.

The best way to suggest believable TRS time entries is by extracting recent historical patterns and current-week signals to generate evidence-based proposals. The skill uses recurring internal categories like standups and documentation, applying realistic durations in 0.25-hour increments with comments aligned to prior entries.

Yes, you can use historical time-entry data to plan current week timesheet bookings. The skill pulls your last 5 weeks of TRS entries to determine recurring tickets and typical work patterns, then calculates daily totals and gaps to distribute suggested bookings across days without overbooking.

Timesheet gap analysis handles Time Away days by excluding them from the weekly target calculation. It notes light days relative to your usual average daily total and ensures suggested time entries are distributed across the remaining working days to avoid overbooking any single day.

You do not need an evidence pack for basic suggestions, but the optional Copilot Evidence Pack enriches the audit trail to improve confidence in suggested work. It provides additional supporting context for proposed time entries when stricter justification for your TRS bookings is required.

A limitation of automating TRS time entry suggestions is that all proposed entries must reference real tickets or well-supported patterns to remain believable. The skill requires sufficient historical data to extract recurring work categories and will re-evaluate patterns after bookings to avoid inconsistencies.