competitive-check

Generate platform-specific search queries and analyze results for competitive landscape assessment.

Updated Mar 27, 2026

Search Tags:#queries #competitive #arxiv #literature-review #semantic-scholar #google-scholar #novelty-check

Ready to run

npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill competitive-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitive-check
Source: https://github.com/EmaRimoldi/Claude-scholar-extended/tree/main/skills/competitive-check
Command: npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill competitive-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

On-demand competitive landscape checks for research projects by generating structured search queries and analyzing pasted results to assess overlap with claimed contributions.

Core Features & Use Cases

Query Generation: produces 3-5 search queries per platform (Semantic Scholar, arXiv, Google Scholar) with rationale.
Results Analysis: assesses overlap with closest works, classifies threat level, and provides differentiation recommendations.
Outputs & Workflow: provides competitive-queries.md and competitive-alert.md; supports two-turn interaction; works standalone or fed from novelty assessment.
Modes: Mode A (pipeline from novelty assessment) and Mode B (standalone input).

Quick Start

Provide your contribution statement and 2-3 differentiators, then run the skill to generate platform-specific queries and paste results for analysis.

Frequently Asked Questions about competitive-check

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

FAQPage Schema

How do I check for competing research papers before submission?▼

To check for competing research papers, generate structured search queries for Semantic Scholar, arXiv, and Google Scholar, then paste the results back to assess overlap and classify the threat level to your claimed contributions.

What is a competitive landscape analysis for a research project?▼

A competitive landscape analysis assesses existing literature overlap by generating platform-specific queries and organizing competitive alerts, providing guidance on differentiation to protect your project's novelty.

How do I write search queries to find overlapping work on arXiv and Semantic Scholar?▼

You can write search queries for arXiv and Semantic Scholar by providing your contribution statement and differentiators, which generates 3-5 targeted queries per platform with rationale to find closely related works.

Can I do a novelty check mid-project or only at project initiation?▼

You can perform a novelty check at project initiation, mid-project, or pre-submission, using either standalone input or feeding results from a prior novelty assessment into the competitive landscape analysis.

What do I need to provide to assess overlap with closest works in my field?▼

To assess overlap with closest works, you need to provide your contribution statement and 2-3 key differentiators, which allows the system to classify threat levels and recommend differentiation actions.

How do I get differentiation recommendations after finding similar papers on Google Scholar?▼

To get differentiation recommendations after finding similar papers on Google Scholar, paste the search results back into the tool to analyze the overlap and generate recommended actions for distinguishing your work.