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
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.
Turn competitor or benchmark social accounts into positioning, content, growth, monetization, and original action plans.
Other hook tools give you a score. This one refuses to. It measures which axis your own numbers support, and throws out the ones they do not. Paste your hooks with their real numbers. It builds candidate axes from your own copy, tests within-group homogeneity first, and only then compares groups. An axis whose groups are not internally consistent is rejected, not crowned. Ships with one measured prior: name the specific thing, not the category. On 14 ad creatives that ran 2.44x on CTR.
Computes real pet food value using validated veterinary formulas (RER/MER, AAFCO Modified Atwater, dry-matter-basis comparison) — not an AI guess. Correctly handles wet-vs-dry food comparison (can reverse what the label seems to say) and checks protein against the right species-specific standard, since cats need ~50% more than dogs. Supports photo upload. Also flags breed-specific health issues to watch for.
A free retention check for one published short video: paste your average percentage viewed and get a PASS / REWORK / REBUILD verdict with the threshold shown, plus the single biggest retention leak named and one concrete fix.
Audits your test suite's output for silently vanished tests, unexplained skips, and suspiciously fast runs — turns green CI into a real signal.
You ran a test and one variant looks better. Is that a finding or a coin flip? Paste trials and successes per variant. You get Wilson 95% intervals, a two-proportion test, and the check almost nobody runs: an overdispersion gate asking whether your grouping label explains anything. If the spread inside a group beats the spread between groups, no winner is declared. A p-value near zero has died on this gate before. Post-hoc axes get labelled. Underpowered tests get a sample size.
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.