诊断生产力系统反复失效的根因,给出最小干预——容量测算、瓶颈定位、可靠的本地记录。
记忆
meeting-load-balancer
试用Use when your calendar is eating your week and you want to know exactly where the time goes, when planning recurring meetings for a team, before proposing a new recurring meeting, when someone says 'we should sync weekly' and you want data, or when auditing which meetings to kill — imports ICS calendar files, measures meeting hours per week/person/meeting-series (including double-bookings and fragmentation), computes focus-time destruction from meeting placement, scores the true cost of each series (hours × attendees × frequency), flags specific meetings to kill/shorten/make-async using explicit rules, and simulates the recovered hours before anyone has to argue about it.
它能做什么
Knowledge workers lose 10–20+ hours a week to meetings, and almost nobody measures it. Calendars fill by accretion: each recurring meeting was individually justifiable in isolation and collectively catastrophic. The damage isn't only the summed hours — it's *fragmentation*: a day with 4 hours of me…
技能文档
Meeting Load Balancer
Overview
Knowledge workers lose 10–20+ hours a week to meetings, and almost nobody measures it. Calendars fill by accretion: each recurring meeting was individually justifiable in isolation and collectively catastrophic. The damage isn't only the summed hours — it's fragmentation: a day with 4 hours of meetings scattered into 45-minute gaps has zero deep-work blocks left, and a team's most expensive people are often its most double-booked.
This skill turns an exported calendar (.ics) into an evidence-based meeting audit:
- Import — parses standard ICS files (Google/Outlook/Apple all export it), expands recurring events over a date window, dedupes cancelled occurrences.
- Measure — hours/week total, per weekday, per meeting series, per attendee; double-booked overlaps; meeting-free gaps and the longest focus block per day.
- Fragmentation score — counts usable focus blocks (≥90 uninterrupted minutes) destroyed by meeting placement, per day and per week. 4 hours of meetings can cost 8 hours of focus depending on placement.
- True-cost ranking — each series scored by
hours × attendees × frequencywith placement damage, producing the "this standing meeting costs the team a work-week per month" list. - Prescriptions — explicit rules flag meetings to KILL (low attendance, no decision record), SHORTEN (25/50-min default), DE-DENSITY (weekly→biweekly), BATCH (scattered→clustered), or MAKE-ASYNC (status-shaped), plus a simulate mode that shows hours and focus blocks recovered if you applied the changes.
Everything runs offline on calendar files you control; nothing is uploaded.
When to Use
- Personal calendar audit — "where did my week go?" →
stats,focus - Before proposing a new recurring meeting — check the team's existing load first
- Team retro / effectiveness review — aggregate several people's exports →
team - Defending focus time — find the batchable/blocked windows →
focus --advice - Killing a standing meeting with evidence —
rankthensimulatethe removal - Don't use for: room/equipment scheduling (different problem), or individual-event time zone archaeology (the parser handles standard ICS but exotic recurrence rules may be simplified — always sanity-check counts against your calendar app).
Commands
# Export your calendar first (see references/ics-export.md), then:
python3 scripts/meeting_load.py stats --ics calendar.ics --weeks 4
python3 scripts/meeting_load.py stats --ics calendar.ics --weeks 4 --person "you@corp.com"
# Focus-time analysis (fragmentation, longest blocks, batchable windows)
python3 scripts/meeting_load.py focus --ics calendar.ics --weeks 4
# Rank every recurring series by true cost
python3 scripts/meeting_load.py rank --ics calendar.ics --weeks 4
# Rule-based prescriptions: kill / shorten / de-density / batch / async
python3 scripts/meeting_load.py prescribe --ics calendar.ics --weeks 4
# Simulate applying the prescriptions (before arguing about it)
python3 scripts/meeting_load.py simulate --ics calendar.ics --weeks 4
# Multi-person: combine exports (cat them or pass --ics twice)
python3 scripts/meeting_load.py team --ics alice.ics --ics bob.ics --weeks 4
# Worked example without any calendar
python3 scripts/meeting_load.py demo
Metrics Definitions
| Metric | Definition |
|---|---|
| meeting hours/week | summed event durations ÷ weeks in window |
| double-booked hrs | time in 2+ overlapping events (counted once per extra event) |
| focus block | ≥ 90 contiguous meeting-free minutes inside working hours |
| fragmentation | working hours minus longest focus block, on days with any meeting |
| series cost | avg hours × attendee count × occurrences in window |
| density | recurring-series occurrences per week (1.0 = weekly) |
Working hours default 09:00–17:00 local, Mon–Fri (--day-start 9 --day-end 17 to
change). Multi-day and all-day events are excluded from meeting metrics by default.
What Prescriptions Look Like
PRESCRIPTIONS (12 meetings analyzed, 4 series):
KILL 'Weekly Status Sync' 60min × 8 ppl × 1.0/wk — status-shaped,
avg 53% accepted, no decisions logged → replace with written update
SHORTEN 'Design Review' 60→45min — 62% of occurrences end early
(median actual use 40min)
DE-DENSITY '1:1 Manager' weekly→biweekly — 4/4 weeks had
cancellation/reschedule
BATCH 'sprint-planning' Mon 14:00 + 'retro' Thu 11:00 + 'estimation' Tue 10:00
→ same day cluster frees 2 full days/week of ≥3h blocks
ASYNC 'Incident Readout' 12 occurrences, avg 6 min used of 30,
1 speaker — record/video instead
simulated effect: −5.6 meeting hrs/week, +2.1 focus blocks/week for the team
Common Pitfalls
- Exporting too narrow a window. Recurring meetings reveal their sins over 4+ weeks
(cancellations, attendance decay). Use
--weeks 4minimum; 8 is better. - Counting declined events. The tool excludes events you declined where the ICS
records it; re-check surprises with
list --daybefore believing a number. - Treating hours as the metric. Two calendars with identical meeting hours can
differ 2× in usable focus time. Always read
focusalongsidestats— placement, not just volume, is the enemy. - Forgetting attendee cost. A 30-min meeting for 10 people is 5 person-hours; the
rankoutput exists so the "quick sync" gets priced honestly. - Shortening everything reflexively. Some 60s earn their hour (decisions with real debate). The rules flag evidence of waste (early endings, decay, status-shape), not length per se.
- All-day/multi-day events polluting stats. They're excluded by default; if your
org encodes real meetings as all-days (some do),
--include-allday.
Verification Checklist
- ICS export covers ≥4 weeks and includes recurring expansions
-
stats --personmatches what your calendar app reports for a sample week -
focusreviewed — fragmentation is usually the hidden finding -
simulaterun before proposing changes; numbers shown to attendees - Changes applied incrementally (kill one, measure again next month)
One-Shot Recipes
Personal "where did March go" audit
python3 scripts/meeting_load.py stats --ics march.ics --weeks 4
python3 scripts/meeting_load.py focus --ics march.ics --weeks 4
The 'we should add a weekly sync' moment
python3 scripts/meeting_load.py team --ics a.ics --ics b.ics --ics c.ics --weeks 4
# if anyone is >12 hrs/wk or <1 focus block/day → propose async instead
Annual meeting purge
python3 scripts/meeting_load.py rank --ics q3.ics --weeks 8
python3 scripts/meeting_load.py simulate --ics q3.ics --weeks 8
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