pico-formulation

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/pico-formulation

Structures research questions into PICO/PECO frameworks for meta-analysis

  • Translates vague research questions into structured meta-analysis components
  • Uses domain-specific knowledge to identify PICO/PECO elements
  • Applies standardized criteria to define population, intervention, comparator, and outcomes
  • Returns a ready-to-use framework for search strategy and inclusion criteria

SKILL.md

.github/skills/pico-formulationView on GitHub ↗
---
name: pico-formulation
description: Construct PICO/PECO framework for the meta-analysis research question
execution: subagent
prompt: ./prompt.md
input: research_question, domain
used-by: meta-analysis
---

# PICO Formulation SOP

Construct a structured PICO (Population, Intervention, Comparator, Outcome) or PECO (Population, Exposure, Comparator, Outcome) framework from a research question to guide systematic meta-analysis planning.

## When to Use

- First step in any meta-analysis strategy
- When the research question needs formal structuring
- Before defining inclusion/exclusion criteria

## Input

- `research_question`: The research question to structure
- `domain`: The research domain (clinical, computational, social science, etc.)

## Output

A complete PICO/PECO framework with operationalized definitions for each component, suitable for driving search strategy and inclusion criteria.

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