# Data Extraction Form

> Data Extraction Form is an Agent Skill for documents published in the yogsoth-ai/de-anthropocentric-research-engine repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Design structured data extraction form for systematic meta-analysis data collection

- Skill name: `data-extraction-form`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/data-extraction-form/SKILL.md
- Repository: yogsoth-ai/de-anthropocentric-research-engine (386 GitHub stars when collected)

## SKILL.md

# Data Extraction Form SOP

Design a structured, comprehensive data extraction form tailored to the specific meta-analysis, ensuring all necessary data points are captured systematically.

## When to Use

- After PICO, inclusion criteria, and effect size type are determined
- Before beginning full data extraction from included studies
- When standardizing extraction across multiple reviewers

## Input

- `pico_framework`: The structured PICO/PECO framework
- `effect_size_type`: The chosen effect size metric and calculation methods
- `moderator_variables`: Pre-specified moderator variables for heterogeneity investigation

## Output

A complete data extraction form with field definitions, coding instructions, and examples for each variable.

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## 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. |

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Source: https://www.openparable.com/skill/documents/data-extraction-form (OpenParable). Cite the canonical URL above.