extract-data

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/extract-data

Extracts structured data from deep-read papers into comparison tables

  • Solves the task of systematically comparing methods, datasets, and results across papers
  • Relies on subagent execution for focused, consistent data extraction
  • Analyzes paper contents to identify method, dataset, metrics, results, and limitations
  • Returns structured tables for use in systematic and deep-survey workflows

SKILL.md

.github/skills/extract-dataView on GitHub ↗
---
name: extract-data
description: Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.
execution: subagent
prompt: ./prompt.md
input: paper_contents (string)
used-by: literature-survey
---

# Extract Data

Pull structured facts from paper full text into comparison tables.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Data extraction requires careful, systematic reading of multiple full papers simultaneously to ensure consistent extraction across all entries. Dedicated context prevents extraction drift.

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