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everyrow-sdk

Orchestrate data researchers via the Everyrow SDK to forecast, score, classify, and merge datasets.

51|6|Updated Jan 14, 2026
Search Tags:#merge#ranking#ai-agents#dedupe#python-sdk#everyrow#data-workflow
One-click install
npx skills add https://github.com/futuresearch/everyrow-sdk --skill everyrow-sdk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: everyrow-sdk
Source: https://github.com/futuresearch/everyrow-sdk/tree/main/skills/everyrow-sdk
Command: npx skills add https://github.com/futuresearch/everyrow-sdk --skill everyrow-sdk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude-based orchestration of data researchers to forecast, score, classify, and enrich datasets using the Everyrow SDK.

Core Features & Use Cases

  • Classification of rows into predefined categories
  • Ranking/Scoring of rows based on qualitative criteria
  • Dedupe and merge of tables using AI-powered matching
  • Screening/filtering of rows based on research-intensive criteria
  • Running AI agents over dataframe rows for automated insights
  • Flexible workflows via SDK or MCP server, with session management

Quick Start

Install the Python SDK and tell Claude to dispatch researchers to forecast, score, classify, or add to a dataset.

Frequently Asked Questions about everyrow-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use AI agents to classify and rank rows in a dataset?▼

You can use AI agents to classify and rank rows by orchestrating data researchers through the Everyrow SDK, enabling Claude to process tabular data at scale based on qualitative criteria.

What is the best way to dedupe and merge large tables using AI?▼

Deduping and merging large tables is handled by dispatching AI-powered researchers via the Everyrow SDK, which matches and consolidates tabular rows automatically.

Can I run AI agent workflows over dataframe rows with Python?▼

Yes, you can run AI agent workflows over dataframe rows by installing the Python SDK, which allows Claude to orchestrate automated insights and multi-step data workflows.

Does the Everyrow SDK work with an MCP server configuration?▼

The Everyrow SDK supports MCP server configuration alongside the Python SDK, providing flexible code-based and MCP-based tools with session management for data orchestration.

How do I screen and filter rows based on research-intensive criteria?▼

You can screen and filter rows by dispatching data researchers to evaluate research-intensive criteria, enabling Claude to automate multi-step screening workflows on your datasets.

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