data-skillv1.0.0

Automates importing CSV/Excel files into SQLite with automatic cleaning like handling merged cells, detecting headers, and sanitizing column names. Suitable for businesses that regularly receive raw data files from external sources.

Enables iterative SQL-based filtering, sorting, aggregation, and column additions with undo support via versioned tables. Ideal for analysts needing to explore and refine datasets step by step.

Uses Python scripts with fuzzy matching (e.g., thefuzz) to join tables with inconsistent keys like branch names. Useful for finance or sales teams merging records from different systems.

Generates interactive ECharts visualizations (bar, line, pie, map, etc.) from SQL queries using a template engine. Allows users to create complex charts without writing frontend code.

Merges multiple identically structured files into one table or splits a master table into separate files by department. Common in HR for consolidating payroll or in logistics for regional reports.

Users pay a monthly fee per seat for access to the data-skill integrated into their AI agent platform. Revenue scales with number of active users requiring data processing capabilities.

Charge based on number of data imports, queries executed, or charts generated. Attracts occasional users who prefer pay-as-you-go without committing to a subscription.

License the entire skill package for on-premise deployment with customization and priority support. Targets large corporations with strict data privacy policies.