Enrich CSV files by adding AI-generated columns based on user directives.
npx skills add https://github.com/zocomputer/skills --skill enrich-csv
Please help me install this Agent Skill. Skill: enrich-csv Source: https://github.com/zocomputer/skills/tree/main/Official/zo-enrich-csv Command: npx skills add https://github.com/zocomputer/skills --skill enrich-csv
This Skill automates the process of adding new, AI-generated information to your existing CSV files, eliminating manual data lookup and entry.
Use the enrich-csv skill to add a 'capital city' column to the current CSV.
High-intent search queries and answers about installing and using this skill.
To add AI-generated columns to a CSV file, this Skill processes your enrichment directives and dynamically generates relevant information for each row. It automates manual data lookup by incrementally updating the spreadsheet with new data.
Yes, you can apply AI data enrichment to specific rows in your spreadsheet by using optional filters. This selective processing feature allows targeted data generation for only the relevant entries rather than updating the entire dataset.
The best way to automate adding estimated financial data to a CSV is using an AI-driven enrichment process. This Skill generates new columns based on existing company names and your directives to fetch and append relevant data.
Yes, you need Python to enrich spreadsheets with AI-generated columns because the Skill handles dynamic script generation through Python and an AI API. It uses the httpx dependency for HTTP requests to generate and update your data.
Yes, CSV enrichment works with large datasets requiring incremental updates by dynamically generating processing scripts and adding AI-generated columns progressively. This approach handles targeted enrichment and updates rows without rewriting the entire file.
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