opinion-miner

Analyze forum and comment-section discussions to extract core arguments and positions.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/lumincui/skills --skill opinion-miner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opinion-miner
Source: https://github.com/lumincui/skills/tree/main/opinion-miner
Command: npx skills add https://github.com/lumincui/skills --skill opinion-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes community opinions from forums and comments to identify core positions and the real points of disagreement, turning raw text into structured, actionable insights.

Core Features & Use Cases

  • Automated data collection from Bilibili, Reddit, and GitHub Issues to gather topic-relevant comments.
  • Semantic clustering to group comments by underlying arguments rather than surface topics.
  • Structured reporting that surfaces each position, supporting evidence, and the main debates for decision-making, research, or competitive analysis.

Quick Start

Analyze the given discussion URL and generate a structured opinion report highlighting core arguments and points of disagreement.

Frequently Asked Questions about opinion-miner

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

FAQPage Schema
How do I analyze online forum comments to extract core arguments?

You can analyze online forum comments by providing a discussion URL, which triggers automated data collection, comment cleaning, and semantic clustering to generate a structured report of core arguments and points of disagreement.

What is semantic clustering for community opinion analysis?

Semantic clustering groups comments by their underlying arguments and positions rather than surface-level topics, allowing you to identify the main points of contention and public sentiment within community discussions.

Can I use this to analyze GitHub Issues and Reddit discussions?

Yes, you can analyze GitHub Issues and Reddit discussions, as the skill specifically supports data collection from GitHub Issues, Reddit, and Bilibili to extract structured community opinions and core positions.

What's the best way to identify main points of contention in online comments?

The best way to identify points of contention is using semantic clustering to group comments by underlying arguments, which surfaces each distinct position and its supporting evidence in a structured report for decision-making.

Does this opinion analysis tool work with Bilibili comment sections?

Yes, this opinion analysis tool works with Bilibili comment sections. It performs automated data collection from Bilibili to gather topic-relevant comments and extract the core arguments for structured reporting.