agentic-investigation-withskills

Preprocessing workflow for journalistic data analysis emphasizing transparency, provenance, and human oversight. Use when: (1) Loading messy data files (Excel, CSV, JSON) into analysis-ready format, (2) Auditing data quality before analysis, (3) Cleaning data with full transformation documentation, (4) Preparing data for investigative journalism projects. Core principle: No silent transformations—every change is documented and approved.

Analyze preprocessed data for investigative journalism with full transparency. Use when a journalist has clean, preprocessed data ready for analysis and needs to identify patterns, anomalies, relationships, or statistical findings that support a story. Triggers include requests to analyze data, find patterns, identify outliers, cross-reference records, calculate statistics, or answer specific investigative questions. Complements the structured-data-preprocessing skill. Emphasizes simple, legible analyses over complex methods—every finding must be explainable to editors and defensible under scrutiny.