General skillData and analytics
predictive-analytics-skill
Build validated, interpretable predictive models from tabular data.
Build validated, interpretable predictive models from tabular data.
Apply a seven-stage methodology that takes tabular data from cleaning and exploration through feature engineering, modeling, diagnosis, and an interpretable report. The workflow emphasizes leakage checks, baseline comparisons, cross-validation, and honest failure analysis rather than chasing a single score. It can run as a Claude Skill or as a portable prompt for other language models, with output adapted to the user's language.
Resource types
Use cases
Platforms
Capabilities
Profile a Polymarket wallet’s performance, trading style, and EV signals.
Turn broker trading records into a performance and behavior audit dashboard.
Public GitHub facts last synced Jul 10, 2026.
Query Yandex Metrica counters, reports, goals, and raw logs.
Guide survey analysis from data cleaning to APA reporting