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TerryFYL
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review-thinker

Generate a YAML review blueprint with Q1–Q5 planning and gap identification.

8|Updated Mar 18, 2026
Search Tags:#deep-research#gap-analysis#research-design#framework-selection#narrative-arc#evidence-mapping#review-blueprint
One-click install
npx skills add https://github.com/TerryFYL/ai-research-army --skill review-thinker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-thinker
Source: https://github.com/TerryFYL/ai-research-army/tree/main/skills/review-thinker
Command: npx skills add https://github.com/TerryFYL/ai-research-army --skill review-thinker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review Thinker provides a structured, upstream decision blueprint for scholarly reviews, separating 'thinking' from 'execution' to prevent ad-hoc literature gathering and to set a clear research direction.

Core Features & Use Cases

  • Guides researchers through the five decision stages (Q1–Q5) to produce a complete review_blueprint.yaml.
  • Performs terrain analysis to map evidence landscapes, identify camps, density, and gaps, and prepare downstream execution.
  • Outputs a validated blueprint that downstream engines can execute, ensuring alignment between questions, framework, narrative arc, and gaps.
  • Use case: a research team wants a reproducible plan from topic to blueprint for a systematic or scoping review.

Quick Start

Provide a topic and context, then trigger the blueprint with /review blueprint to generate the full plan.

Frequently Asked Questions about review-thinker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a structured blueprint for a systematic review?▼

Review blueprints separate research thinking from execution by guiding you through five planning stages, outputting a validated YAML file that maps questions, terrain analysis, narrative arcs, and identified gaps for systematic reviews.

What is terrain analysis in research design?▼

Terrain analysis maps the evidence landscape by identifying research camps, density, and existing gaps, preparing your review design for downstream execution and framework selection.

How do I identify research gaps before writing a literature review?▼

Identify research gaps by mapping the evidence landscape during the upstream planning stages, which highlights areas of low density and missing narratives to guide your framework selection and review execution.

Can I use this approach for scoping reviews?▼

Yes, this approach supports reproducible planning from topic to blueprint for both systematic and scoping reviews, ensuring alignment between questions, framework, narrative arc, and gaps.

What is a review blueprint and how does it prevent ad-hoc literature gathering?▼

A review blueprint is a structured YAML file that sets a clear research direction by validating question, terrain, framework, narrative arc, and gaps, preventing ad-hoc literature gathering through repeatable governance.

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