metar-taf-decoder-skill

Project overview

This skill creates a clinical baseline Table 1 from XLSX or CSV data using design-aware rules: baseline p-values are hidden for RCTs by default, while observational studies emphasize SMD and multiple-testing warnings. It produces self-contained HTML plus Word and LaTeX files, masks identifier columns, and excludes survival, regression, and mixed-effects analyses.

Project overview

The skill searches 20,972 Arabic-English records from the Quran, Sahih al-Bukhari, and Sahih Muslim through Supabase and pgvector. It supports exact lookup, topical search, cross-referencing, and checking whether a report appears in the two Sahih collections, while presenting returned text with citations instead of reconstructing it from memory. It does not issue fatwas and requires a Supabase deployment plus embedding setup.

Project overview

Six-Layer Product Research guides Claude Code through a structured problem-definition process before solution work begins. It examines customer language, ecosystem perspectives, behavioral frictions, failed status-quo attempts, new technology enablers, and the changes a team can realistically influence. Separate findings are then synthesized into a multi-perspective definition that helps product teams test assumptions and understand why earlier approaches failed.