product-intelligence

Identify and prioritize product opportunities from competitor moves and user feedback.

6|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill product-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-intelligence
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/product-intelligence
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill product-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams struggle to keep up with fast-evolving competitors and fragmented user feedback, leading to missed opportunities and misprioritized roadmaps.

Core Features & Use Cases

  • Automated competitor feature tracking and change detection across key markets
  • User-feedback clustering and signal synthesis for theme extraction
  • Feature hypothesis validation with prioritization using decision frameworks (e.g., RICE)
  • Regular product intel reports to inform quarterly roadmaps and sprint planning

Quick Start

Start by scanning the latest competitor launches and consolidating user feedback signals to generate a prioritized feature plan.

Frequently Asked Questions about product-intelligence

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

FAQPage Schema
How do I prioritize feature requests from user feedback and competitor moves?

Generate a prioritized feature plan by scanning competitor launches and consolidating cross-channel user feedback signals into clustered themes. You then score these feature hypotheses using a structured decision framework like RICE to rank opportunities.

What is the best way to track competitor feature launches for product intelligence?

The best way to track competitor feature launches is through automated competitor feature tracking and change detection across key markets. This monitors market signals continuously to inform your quarterly roadmap planning and ongoing market monitoring.

How does user feedback clustering work for feature hypothesis validation?

User feedback clustering works by synthesizing fragmented cross-channel signals to extract common themes. These themes form the basis for feature hypotheses, which are then validated and scored using decision frameworks like RICE for roadmap inclusion.

Do I need a specific decision framework to use for product roadmap planning?

Yes, you need a structured decision framework like RICE to score and rank identified product opportunities. This framework is required to systematically prioritize features from competitor moves and user feedback for quarterly roadmap planning.

Can I use cross-channel signals for quarterly roadmap planning and sprint planning?

Yes, you can use cross-channel signals for quarterly roadmap and sprint planning by synthesizing fragmented user feedback and competitor moves. Regular product intelligence reports generated from these signals directly inform your development cycles.