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Launch Monitor Caddie — Read Numbers Like a Fitter

Launch Monitor Caddie — Read Numbers Like a Fitter

I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
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Claude Sonnet 5

Your launch monitor prints 15 numbers per shot. The fix is hiding in the relationships between them — and that's the part nobody teaches you.

Why I built this

I'm a data analyst by profession and a launch-monitor obsessive by affliction. I've sat through professional Trackman fittings, rebuilt my own bag off the data, and learned the expensive way that raw numbers without interpretation just make you buy drivers you don't need. A good fitter doesn't read your spin rate — they read your spin rate against your speed, your smash against your spin loft, your averages against your standard deviations. That reading process is what I've built into this Skill.

What you give it

A pasted table, CSV export, or screenshot description from Trackman, GCQuad/GC3, FlightScope Mevo+, Garmin R10, SkyTrak, Rapsodo, or any simulator (GSPro, E6, TGC)
Partial data is fine. Numbers from memory are fine. It knows which metrics your specific device actually measures vs. calculates, and it adjusts its confidence accordingly
Optional: your typical miss, handicap, and what you've been working on

What you get back

One dominant diagnosis (not five), an honest technique-vs-equipment verdict, a practice prescription with a measurable pass/fail checkpoint, and a gapping read if you brought multiple clubs.

Real sample output

From an actual outdoor FlightScope session (4H through 9i, 19 shots):

The one-line diagnosis: Your 7-iron is the best club in your bag by a mile, and quality decays in both directions from it — strike efficiency falls apart in your scoring irons, and face control falls apart in the hybrid. Different problems, different fixes, and neither one is your swing "being broken."

Every one of your 19 shots launched right of the target line. Every single one. That's an in-to-out delivery with a face that's open to target but closed to path most of the time — the push-draw engine. Your hybrid shows both misses in three swings: one leaked 29.6 yards right, the next hooked 22 left. That's a 52-yard window at the top of the bag.

Technique vs. equipment: Don't spend a dollar. Your 7i–8i gap reads as 18.8 yards, which normally flags a loft issue — but if your 8-iron flew at your own best-strike smash every time, it carries ~162 and the gap normalizes to ~7. This is a strike problem masquerading as a gapping problem.

Then it hands you two drills with exit criteria ("done when 7 of 10 strikes sit in a quarter-sized center zone and smash averages 1.33+") and tells you exactly what data to bring back next session.

What makes it different from asking a generic AI

Generic AI defines metrics. This reads patterns: it strike-adjusts your gapping before flagging it, refuses to diagnose off numbers your device can't actually measure, separates an average problem from a variance problem (they need opposite fixes), and — this is the part that builds trust — it will tell you not to buy equipment when the data says practice. Which is exactly why you can believe it when it says the opposite.

What it won't do

It won't sell you a shaft. It won't give you Tour targets if you swing 88 mph. It won't stack five swing thoughts on you. And it won't pretend three shots is a verdict — small samples get diagnosed as strong hypotheses with a confirmation plan.

How to use it

Run it after every range or sim session. Paste the export, answer one round of questions at most, get your read. The prescriptions are designed as a loop: drill → checkpoint → bring next session's data back → re-diagnose. That loop is how single-digit players practice.

Free trial available. One session read costs less than two range buckets. A fitting costs $200/hour — and won't check your homework next week.