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)
dependencies	{"sops":["spawn-agent"]}

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.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
spawn-agent	Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.