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Get Started Free →Price meetings in money and focus — the attendee-hours × loaded-rate math, the recurring multiplier that turns a weekly 30-minutes into a real annual number, and the cost-vs-outcome read that decides what the price buys. Use when asked what does this meeting cost, price our meeting culture, is this recurring meeting worth it, or make the case for fewer attendees. Produces the cost computation with stated assumptions, the recurring annualization, the cost-per-outcome read, and the reduction lever
.claude/skills/mohitagw15856-meeting-cost-meter/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-12 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 26% | 0% |
Meetings are the only five-figure purchases made without a price tag: a weekly hour with nine people at a blended $120/hour loaded rate is ~$56,000 a year — a number nobody approved because nobody computed it. The meter computes it (attendee-hours × honest loaded rates × the recurring multiplier), then asks the only question the number exists for: what does this price buy, and is there a cheaper supplier — fewer people, shorter slot, lower frequency, or a document. The output is leverage for change, not gotcha theater: the point is better purchases, not shame.
Ask for these if not provided:
Attendees × length × loaded band = per instance · × frequency = annual · assumptions stated as ranges]
The outcomes claimed/observed · price per decision/artifact · the unpriceable-but-real noted honestly]
| Lever | Change | New annual price | Saved | |---|---|---|---|
The one-paragraph case: current price → recommended lever(s) → what the savings buy]
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 16,832 | 12,400 | -26% | 1 | 1 | 0% | 3,276 | 3,526 | +8% | 0 | 0 | — |
case-02 | fail→fail | 15,268 | 13,196 | -14% | 1 | 1 | 0% | 2,962 | 3,582 | +21% | 0 | 0 | — |
case-03 | fail→fail | 15,299 | 12,722 | -17% | 1 | 1 | 0% | 2,954 | 3,374 | +14% | 0 | 0 | — |
case-04 | pass→fail | 13,039 | 16,780 | +29% | 1 | 1 | 0% | 2,286 | 3,804 | +66% | 0 | 0 | — |
case-05 | pass→pass | 14,024 | 10,789 | -23% | 1 | 1 | 0% | 2,478 | 2,929 | +18% | 0 | 0 | — |
case-06 | pass→fail | 15,333 | 17,720 | +16% | 1 | 1 | 0% | 2,427 | 3,900 | +61% | 0 | 0 | — |
case-07 | fail→fail | 15,081 | 12,049 | -20% | 1 | 1 | 0% | 2,464 | 3,274 | +33% | 0 | 0 | — |
case-08 | fail→fail | 17,772 | 10,357 | -42% | 1 | 1 | 0% | 3,119 | 2,937 | -6% | 0 | 0 | — |
case-09 | fail→fail | 11,248 | 11,388 | +1% | 1 | 1 | 0% | 1,971 | 3,231 | +64% | 0 | 0 | — |
case-10 | fail→fail | 14,589 | 11,062 | -24% | 1 | 1 | 0% | 2,691 | 3,202 | +19% | 0 | 0 | — |
case-11 | fail→fail | 17,507 | 21,470 | +23% | 1 | 1 | 0% | 2,688 | 3,217 | +20% | 0 | 0 | — |
case-12 | fail→pass | 14,386 | 11,924 | -17% | 1 | 1 | 0% | 2,615 | 3,438 | +31% | 0 | 0 | — |
case-13 | fail→pass | 21,638 | 16,150 | -25% | 1 | 1 | 0% | 2,794 | 3,599 | +29% | 0 | 0 | — |
case-14 | fail→pass | 20,869 | 17,934 | -14% | 1 | 1 | 0% | 2,708 | 3,470 | +28% | 0 | 0 | — |
case-15 | fail→fail | 18,213 | 20,289 | +11% | 1 | 1 | 0% | 2,726 | 3,384 | +24% | 0 | 0 | — |
case-16 | fail→pass | 16,782 | 10,947 | -35% | 1 | 1 | 0% | 2,855 | 3,118 | +9% | 0 | 0 | — |
case-17 | fail→fail | 12,575 | 11,060 | -12% | 1 | 1 | 0% | 2,362 | 3,411 | +44% | 0 | 0 | — |
case-18 | fail→pass | 14,037 | 11,259 | -20% | 1 | 1 | 0% | 2,572 | 3,251 | +26% | 0 | 0 | — |
case-19 | fail→pass | 14,022 | 10,621 | -24% | 1 | 1 | 0% | 2,623 | 3,051 | +16% | 0 | 0 | — |
case-20 | fail→pass | 13,401 | 10,678 | -20% | 1 | 1 | 0% | 2,485 | 3,315 | +33% | 0 | 0 | — |
case-21 | fail→pass | 12,283 | 10,542 | -14% | 1 | 1 | 0% | 2,414 | 3,249 | +35% | 0 | 0 | — |
case-22 | fail→pass | 14,979 | 12,225 | -18% | 1 | 1 | 0% | 2,791 | 3,329 | +19% | 0 | 0 | — |
case-23 | fail→pass | 16,481 | 11,467 | -30% | 1 | 1 | 0% | 3,039 | 3,269 | +8% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +35 percentage points is the difference between those two pass rates over the 23 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.