Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.
Scanned 6/1/2026
Install to Claude Code
Skills Directorynpx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-data --agent claude-codeInstalls into .claude/skills of the current project.
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---
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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