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bilibili-search-agent

Retrieve Bilibili videos, comments, and danmaku for market intelligence analysis.

Updated Aug 23, 2026
Search Tags:#market intelligence#bilibili#video search#comment analysis#user signals#danmaku
One-click install
npx skills add https://github.com/gaoming-a/OppScout --skill bilibili-search-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bilibili-search-agent
Source: https://github.com/gaoming-a/OppScout/tree/main/skills/bilibili-search-agent
Command: npx skills add https://github.com/gaoming-a/OppScout --skill bilibili-search-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for in-depth market intelligence by retrieving specific video content, user comments, and practical usage signals from Bilibili, going beyond surface-level popular trends.

Core Features & Use Cases

  • Targeted Video Search: Finds Bilibili videos relevant to specific keywords and user needs.
  • Comment & Danmaku Analysis: Extracts and analyzes user comments and danmaku for sentiment and insights.
  • Practical Signal Extraction: Identifies mid-tail content that offers stronger practical signals than just top-trending videos.
  • Use Case: A product manager wants to understand user pain points related to a new feature. This Skill can search Bilibili for videos discussing the feature, analyze user comments for common complaints or suggestions, and identify less popular but highly relevant videos that highlight specific use cases.

Quick Start

Use the bilibili-search-agent skill to find videos and analyze comments related to 'sustainable fashion'.

Frequently Asked Questions about bilibili-search-agent

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

FAQPage Schema
How do I extract user pain points from Bilibili comments and danmaku for market intelligence?▼

You can extract user pain points from Bilibili comments and danmaku by retrieving specific video content and analyzing practical usage signals. This approach focuses on identifying structured findings with quotes and heat signals from mid-tail videos rather than just top-trending content.

What is the best way to find mid-tail Bilibili videos with strong practical usage signals?▼

The best way to find mid-tail Bilibili videos with strong practical signals is to search for specific keywords and analyze comment sections. This targets less popular but highly relevant content that highlights specific use cases and real user feedback.

Can I analyze Bilibili danmaku to identify sentiment and user signals for a new product feature?▼

Yes, you can analyze Bilibili danmaku to identify sentiment and user signals for a new product feature. The analysis extracts user comments and danmaku to surface common complaints, suggestions, and practical usage insights relevant to your needs.

How does Bilibili comment analysis work for understanding market trends beyond surface-level popularity?▼

Bilibili comment analysis works for understanding market trends by retrieving targeted videos and extracting structured findings with direct quotes. It prioritizes comments and danmaku to uncover practical usage signals that go beyond surface-level popular trends.

Does Bilibili video search support extracting structured findings with quotes and heat signals?▼

Yes, Bilibili video search supports extracting structured findings with quotes and heat signals. It retrieves video content and analyzes user comments to provide actionable market intelligence focused on practical usage signals.

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