gaphunter

Cluster competitor review complaints into implementation tasks with source quotes.

15|2|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/debba/gaphunter-skill --skill gaphunter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gaphunter
Source: https://github.com/debba/gaphunter-skill/tree/main
Command: npx skills add https://github.com/debba/gaphunter-skill --skill gaphunter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GapHunter analyzes negative user reviews of competing products (from sources like G2, Capterra, TrustRadius, Reddit, Hacker News, and GitHub issues) to identify missing or poorly implemented features and maps them to concrete implementation plans for the current project. The output is a self-contained JSON data file plus a polished HTML viewer, enabling you to turn noisy feedback into actionable roadmap items.

Core Features & Use Cases

  • Semantic clustering of complaints into a concise set of findings, with frequency, trend signals, priority, and effort.
  • Cross-reference findings against your codebase to surface implementation steps and files to touch.
  • Generates two paired files: docs/<product>-gap-data.json and docs/<product>-gap-report.html, designed to render offline via file://.
  • Supports single- and multi-competitor analysis with source attribution prefixes (e.g., DBeaver/G2, TablePlus/Reddit).

Quick Start

Run the skill with one or more product names to generate a self-contained JSON data file and a corresponding HTML report.

Frequently Asked Questions about gaphunter

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

FAQPage Schema
How do I turn competitor reviews into a product roadmap?

To turn competitor reviews into a product roadmap, you analyze negative user feedback from sources like G2, Capterra, and Reddit to identify missing features. This process clusters complaints into actionable implementation tasks with priority and effort estimates.

How do I identify missing features from competitor reviews on Reddit and G2?

You identify missing features from competitor reviews by semantically clustering negative feedback across platforms like Reddit and G2. This groups near-duplicate complaints into concise findings with frequency counts and source quotes for accurate gap analysis.

Can I analyze feature gaps for multiple competing products at once?

Yes, you can analyze feature gaps for multiple competing products at once. Multi-competitor analysis includes source attribution prefixes like DBeaver/G2 or TablePlus/Reddit to distinguish findings and map them effectively within a single JSON output file.

What is the best way to export competitor gap analysis data for offline viewing?

The best way to export competitor gap analysis data for offline viewing is generating a self-contained JSON file paired with an HTML viewer template. These files render offline via file:// protocols without requiring external server dependencies.

How do I map competitor complaints to concrete implementation tasks in my codebase?

You map competitor complaints to concrete implementation tasks by cross-referencing identified feature gaps against your codebase. This surfaces specific implementation steps and highlights exact files to modify to resolve the user-reported issues.

Does generating a feature gap report require any external dependencies?

Generating a feature gap report requires no external dependencies. The skill operates independently to produce a fully self-contained JSON data object and a polished HTML viewer, ensuring the output is ready for immediate offline rendering.