data-context

What problem does it solve?

This Skill centralizes and clarifies project analysis context so teams can start data work with a validated single source of truth, reducing misunderstandings, rework, and silent assumptions.

Core Features & Use Cases

• Input type detection and routing: Automatically distinguishes between data files (CSV, Excel), business documents (PDF, meeting notes), combined inputs, or no input and selects the appropriate processing path.
• Quick data profiling and document extraction: Lists files, previews schema and basic statistics, extracts quantitative facts and business-relevant items from documents, and surfaces biases or missing information.
• SSOT update and execution logging: Reads and updates analysis_context.md with inferred scope, data source metadata, risks, and an execution log entry, then recommends the next analytical step.
• Use Case: When starting a new analytics engagement, run this Skill to ingest uploaded CSVs and meeting notes, populate the analysis_context.md sections, log the session, and receive the recommended next action.

Quick Start

Use the data-context skill to scan the project data and documents, update analysis_context.md with findings, and append an execution log entry.