people-intel
CommunityAnalyze talent landscape in tech.
Education & Research#quantum computing#talent analysis#research landscape#institutional strength#industrialization signals#talent mapping
Authorzzxtbeta
Version1.0.0
Installs0
System Documentation
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.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: people-intel Download link: https://github.com/zzxtbeta/quantum-cognitive/archive/main.zip#people-intel Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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