bettafish-opinion-analysis

Analyze web and social media data into public-opinion reports with Word, PDF, and HTML outputs.

71|10|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/XiaoMaColtAI/BettaFish-skill --skill bettafish-opinion-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bettafish-opinion-analysis
Source: https://github.com/XiaoMaColtAI/BettaFish-skill/tree/main
Command: npx skills add https://github.com/XiaoMaColtAI/BettaFish-skill --skill bettafish-opinion-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Provide fast, data-driven public-opinion analysis across web and social platforms so teams can detect reputational risks, understand sentiment drivers, and produce presentation-ready reports without deploying databases or building complex ETL pipelines.

Core Features & Use Cases

  • Parallel QueryAgent / MediaAgent / InsightAgent workflows that search the web, fetch pages, and analyze multimedia content (video frame extraction) for cross-validated insights.
  • Produces dual-format deliverables: professional Word/PDF documents and an editorial/magazine-style interactive HTML report with ECharts/D3 visualizations.
  • Use cases: brand reputation monitoring, crisis tracking and response, competitor comparison reports, executive summaries for managers.

Quick Start

Ask the skill to "Analyze [brand or topic] for the last 30 days and generate a Word, PDF, and HTML舆情 report" as a single natural-language instruction.

Frequently Asked Questions about bettafish-opinion-analysis

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

FAQPage Schema
How do I generate a public-opinion report from Weibo and Douyin without building a database?

You can generate a public-opinion report without a database by using multi-agent workflows that search the web and social media platforms to synthesize real-time data into Word, PDF, and HTML deliverables. The skill aggregates provenance directly without requiring ETL pipelines.

What is the best way to track brand reputation crises across social media platforms?

Tracking brand reputation crises involves running parallel Query and Media agents to fetch web and social media data across platforms like Xiaohongshu and Bilibili. This multi-agent approach cross-validates multimedia content and produces editorial-style HTML reports for crisis monitoring.

Can I extract video frames for sentiment analysis from Bilibili and Douyin?

Yes, you can extract video frames for sentiment analysis from platforms like Bilibili and Douyin. The MediaAgent workflow fetches multimedia content and extracts video frames when needed to cross-validate insights for your topic trend analysis.

Does this public-opinion analysis tool support exporting interactive HTML visualizations?

This public-opinion analysis tool supports exporting interactive HTML visualizations. It produces dual-format deliverables, including an editorial-style interactive HTML report featuring ECharts and D3 visualizations alongside professional Word and PDF documents.

How do I perform a competitor comparison analysis using web search and social media data?

To perform a competitor comparison, you instruct the tool to analyze specific brands over a timeframe like 30 days. The InsightAgent runs parallel searches across platforms like Zhihu, aggregating provenance from WebSearch and WebFetch to output a comprehensive competitor report.

What are the limitations of using multi-agent web searches for crisis monitoring?

A limitation of using multi-agent web searches for crisis monitoring is the reliance on real-time data fetching rather than a persistent database, meaning historical trend analysis depends entirely on current search results and WebFetch availability without stored ETL pipelines.