extract-data

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)

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.