High-Stakes Analytics & Decision Lab

Skill by ara.so — Data Skills collection.

A platform-neutral, evidence-constrained analytical system that transforms ambiguous questions into reproducible evidence products. It profiles data quality, selects case-adaptive analytical methods (descriptive, diagnostic, predictive, prescriptive), and produces source-backed reports with explicit uncertainty and claim boundaries.

What It Does

Instead of forcing every dataset through fixed pipelines, this system:

• Gates data quality before analysis (detects missing, duplicates, leakage, grain mismatches)
• Routes adaptively to descriptive, diagnostic, predictive, or prescriptive methods based on question + data
• Produces two-layer outputs: Evidence Intelligence Report (always) + Decision Intelligence Brief (conditional)
• Preserves lineage with hashed sources, reproducible transforms, and claim boundaries
• Handles shared uncertainty across alternatives (common market, time, operational shocks)

Installation

Quick Install (NPX)