Everyrow AI Data Processing

关于

The Everyrow SDK skill empowers Claude to perform complex data manipulations that traditional deterministic code struggles with, such as ranking rows by subjective criteria or merging datasets with mismatched keys. By leveraging AI agents, it enables semantic deduplication, research-intensive filtering, and batch processing of natural language tasks across pandas DataFrames. This skill is an essential tool for data scientists and developers who need to bridge the gap between unstructured reasoning and structured tabular data directly within their Python environment.

主要功能

• AI-powered table merging for datasets with inconsistent primary keys
• Qualitative ranking and scoring of rows using natural language criteria
• 10 GitHub stars
• Semantic deduplication that understands entity equivalence beyond exact matches
• Research-driven screening and filtering using Pydantic-validated models
• Async support and session management for long-running batch data operations

使用场景

• Cleaning CRM data by merging duplicate company entries with varying naming conventions
• Filtering stock indices based on complex socio-economic criteria or market exposure
• Scoring sales leads based on their qualitative likelihood to need specific technology solutions