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people-intel

Analyzes researchers, institutions, industrialization signals, and talent networks from provided data.

1|Updated Mar 3, 2026
Search Tags:#quantum computing#talent analysis#research landscape#institutional strength#industrialization signals#talent mapping
One-click install
npx skills add https://github.com/zzxtbeta/quantum-cognitive --skill people-intel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: people-intel
Source: https://github.com/zzxtbeta/quantum-cognitive/tree/main/quantum-chat-backend/skills/people-intel
Command: npx skills add https://github.com/zzxtbeta/quantum-cognitive --skill people-intel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps analyze the talent landscape in the technology sector by identifying key researchers, understanding their research directions, comparing institutional research strengths, recognizing industrialization signals, and mapping talent networks.

Core Features & Use Cases

  • Talent Analysis: Identify and analyze researchers based on their background, research focus, and institutional affiliation.
  • Institutional Strength Comparison: Evaluate and compare the research capabilities of different institutions.
  • Industrialization Signal Detection: Recognize signs of talent moving into or contributing to industry.
  • Talent Mapping: Create comprehensive talent maps for specific fields or regions.
  • Use Case: When a user asks "Who are the top researchers in quantum error correction in China?" or "What is the research strength of the Beijing Academy of Quantum Information Sciences?", this skill is triggered to provide a detailed analysis.

Quick Start

Analyze the research landscape for quantum error correction in China, identifying key researchers and institutions.

Frequently Asked Questions about people-intel

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

FAQPage Schema
How do I analyze the research landscape for quantum error correction in China?▼

To analyze the quantum error correction talent landscape, this skill identifies key researchers, examines their backgrounds and research directions, and compares institutional research strengths. It processes queries about specific scientists or research groups to map the talent network.

How does talent mapping identify industrialization signals in tech?▼

Talent mapping identifies industrialization signals by tracking researcher backgrounds and institutional affiliations to recognize patterns of talent moving into or contributing to industry. It analyzes these transitions to map the talent network and detect commercialization trends within specific technical fields.

What is the best way to compare institutional research strengths in quantum computing?▼

The best way to compare institutional research strengths is to evaluate the research capabilities and technical talent distribution across different institutions. This skill analyzes scientist affiliations and research directions to provide a detailed comparison of institutional strength in quantum computing.

Can I analyze a specific research group's expertise and team quality?▼

Yes, you can analyze a specific research group's expertise and team quality. This skill is triggered by queries involving specific team names or talent distribution, analyzing the researchers' backgrounds and focus areas to evaluate the group's overall technical expertise and institutional strength.

When do I need talent analysis for understanding the technical talent landscape?▼

You need talent analysis when evaluating researcher backgrounds, comparing institutional research strengths, or identifying industrialization signals within a technology sector. It is essential for mapping talent networks and understanding the distribution of expertise across specific fields or regions.

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