调研&分析

Combine multi-source research to deliver fact-checked insights with citations.

27|9|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/Leoyishou/personal-ai-company --skill -leoyishou
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 调研&分析
Source: https://github.com/Leoyishou/personal-ai-company/tree/main/claude-global/skills/_archived_%E8%B0%83%E7%A0%94%E5%88%86%E6%9E%90
Command: npx skills add https://github.com/Leoyishou/personal-ai-company --skill -leoyishou

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

研究与信息整合过程往往碎片分散、缺乏可信验证,导致判断失误与策略偏差。本 Skill 将多源信息并发调研、区分事实与观点,并在 Fact-check 后输出可执行的洞见。

Core Features & Use Cases

  • 多源信息并发检索: 同时从公开来源整理信息,减少等待时间。
  • 事实与观点分离: 自动标注可验证事实与主观观点,提升信息可信度。
  • 结构化洞见输出: 生成可执行的洞见、策略建议和实施路径,便于落地。

Quick Start

输入一个主题,启动多源信息调研并输出经过核验的洞见。

Frequently Asked Questions about 调研&分析

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

FAQPage Schema
How do I conduct multi-source research and fact-checking for market insights?▼

Multi-source research and fact-checking is performed by concurrently retrieving information from public sources, separating verifiable facts from subjective opinions, and outputting structured, actionable insights.

What is the best way to synthesize fragmented information into structured analysis?▼

The best way to synthesize fragmented information into structured analysis is to enforce source citation, automatically label facts versus opinions, and generate actionable recommendations with implementation paths.

Can I use this research tool for competitor and tech scenario analysis?▼

Yes, you can use this research tool for competitor and tech scenario analysis, as it scales across tech, market, competitors, and people to cover diverse research scenarios.

How do I generate actionable recommendations from raw research data?▼

To generate actionable recommendations from raw research data, the system distinguishes facts from subjective views, enforces source citations, and outputs structured strategies with clear implementation paths.

Do I need python-dotenv and requests installed to run the information synthesis skill?▼

Yes, you need python-dotenv and requests installed, as they are the required dependencies for executing the concurrent information retrieval and multi-source research scripts.

Why does my multi-source research output lack credibility and fact verification?▼

Your multi-source research output lacks credibility if it does not enforce source citation or separate verifiable facts from subjective opinions, which this skill automates to prevent judgment errors and strategy deviations.