competitive-landscape

Analyze biopharma competitive landscapes using clinical trial, market, and regulatory data.

Updated May 18, 2026

Search Tags:#market analysis #competitive analysis #clinical trials #pharmaceuticals #biopharma

Ready to run

npx skills add https://github.com/DrMoony/PharmaNova --skill competitive-landscape-drmoony

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitive-landscape
Source: https://github.com/DrMoony/PharmaNova/tree/main/.claude/skills/competitive-landscape
Command: npx skills add https://github.com/DrMoony/PharmaNova --skill competitive-landscape-drmoony

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, numpy, pandas, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill offers a comprehensive analysis of competitive landscapes in biopharma, enabling users to understand market dynamics, pipeline positioning, and competitive environments for specific drugs or indications.

Core Features & Use Cases

Competitive Analysis: Analyze market landscapes, pipeline positioning, and market dynamics for drugs or indications.
5-Axis Clinical Decision Lens: Provides a structured framework for decision-making in clinical scenarios.
Data Sources Integration: Integrates data from ClinicalTrials.gov, Open Targets Platform, and openFDA.
Market Forecasting: Offers a tariff-based model for market share prediction.

Quick Start

Run the competitive-landscape skill with the query 'analyze competitive landscape of insulin for diabetes' to get a detailed analysis.

Frequently Asked Questions about competitive-landscape

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

FAQPage Schema

How do I analyze a biopharma competitive landscape using clinical trial data?▼

Biopharma competitive landscape analysis integrates clinical trial data, market information, and regulatory intelligence to evaluate market dynamics and pipeline positioning for specific drugs or indications.

What is the 5-axis clinical decision lens for competitive analysis?▼

The 5-axis clinical decision lens is a structured framework that guides competitive analysis and decision-making by evaluating multiple dimensions of market dynamics and pipeline positioning.

Can I use ClinicalTrials.gov and openFDA data for pharmaceutical market forecasting?▼

Yes, pharmaceutical market forecasting integrates ClinicalTrials.gov, Open Targets Platform, and openFDA APIs to generate detailed reports with market share predictions and competitive positioning.

How do I generate a competitive positioning report for a specific drug indication?▼

Generating a competitive positioning report requires querying integrated clinical and regulatory data sources, applying a structured analysis framework, and outputting detailed market forecasts for the target indication.

Does competitive landscape analysis require access to Open Targets Platform APIs?▼

Yes, accessing Open Targets Platform APIs is required, alongside ClinicalTrials.gov and openFDA, to integrate the necessary clinical trial, market, and regulatory intelligence for comprehensive analysis.

What are the limitations of using a tariff-based model for market share prediction?▼

The tariff-based model predicts market share by quantifying competitive factors, but its accuracy depends on the completeness of integrated clinical trial and regulatory intelligence from connected data sources.