🎯

literature-gap

🎯Skill

from astoreyai/ai_scientist

What it does

Systematically identifies and prioritizes research gaps across knowledge, methodological, theoretical, practice, and evidence quality domains.

📦

Part of

astoreyai/ai_scientist(23 items)

literature-gap

Installation

Add MarketplaceAdd marketplace to Claude Code

/plugin marketplace add https://github.com/astoreyai/ai_scientist

Install PluginInstall plugin from marketplace

/plugin install research-assistant

PythonRun Python server

python tools/ai_check.py manuscript.tex

📖 Extracted from docs: astoreyai/ai_scientist

Need more details? View full documentation on GitHub →

2Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

"Identify research gaps from systematic literature reviews. Use when: (1) Completing literature reviews, (2) Justifying new studies, (3) Grant proposal development, (4) Dissertation planning, (5) Identifying future research directions."

Overview

# Literature Gap Identification Skill

Purpose

Systematically identify and prioritize research gaps from literature synthesis.

Types of Research Gaps

1. Knowledge Gaps

Phenomenon not yet studied
Understudied populations
Unexplored contexts

2. Methodological Gaps

Lack of rigorous designs (RCTs)
Limited longitudinal studies
Need for mixed methods

3. Theoretical Gaps

Competing theories not tested
Mechanisms not understood
Mediators/moderators unexplored

4. Practice Gaps

Interventions not tested
Implementation not studied
Scalability unknown

5. Evidence Quality Gaps

High risk of bias in existing studies
Small sample sizes
Inconsistent results needing resolution

Gap Analysis Process

Synthesize Findings: What do we know?
Identify Limitations: What are the weaknesses?
Find Patterns: What's consistently missing?
Prioritize: Which gaps are most important?
Justify: Why does this gap matter?

Example

Research Area: Mindfulness interventions for anxiety

Gaps Identified:

Few studies in adolescent populations (knowledge gap)
Lack of active control comparisons (methodological gap)
Mechanisms of action unclear (theoretical gap)
No implementation studies in schools (practice gap)
High attrition rates not addressed (evidence quality gap)

Prioritized Gap: Adolescent populations with active controls

Feasible, high impact, fills critical knowledge void

---

Version: 1.0.0

More from this repository10

🏪

astoreyai-ai_scientist🏪Marketplace

Professional research tools for PhD students and academics

🎯

experiment-design🎯Skill

Designs methodologically rigorous experiments with clear hypotheses, appropriate controls, randomization, and pre-specified statistical analysis.

🎯

data-visualization🎯Skill

Transforms complex datasets into interactive, insightful charts, graphs, and dashboards using Python's leading visualization libraries.

🎯

citation-format🎯Skill

Automatically formats academic citations across multiple styles (APA, MLA, Chicago) with precision and handles complex reference types.

🎯

power-analysis🎯Skill

Performs statistical power analysis to determine sample size, detect effect sizes, and validate experimental design for research studies.

🎯

irb-protocol🎯Skill

Enables interactive Ruby (IRB) protocol interactions for AI-driven scientific computing and code execution within the AI Scientist framework.

🎯

randomization🎯Skill

Generates reproducible random numbers, samples, and distributions with advanced statistical controls for scientific simulations and experimental design

🎯

prisma-diagram🎯Skill

Generates visual database schema diagrams from Prisma schema files, facilitating database design and documentation.

🎯

results-interpretation🎯Skill

Interprets and analyzes experimental results, extracting key insights, statistical significance, and potential implications for scientific research.

🎯

pre-registration🎯Skill

Streamlines participant recruitment and data collection for clinical trials by automating consent, screening, and enrollment workflows.