hr-network-analyst
Professional network graph analyst identifying Gladwellian superconnectors, mavens, and influence brokers using betweenness centrality, structural holes theory, and multi-source network reconstruction. Activate on 'superconnectors', 'network analysis', 'who knows who', 'professional network', 'influence mapping', 'betweenness centrality'. NOT for surveillance, discrimination, stalking, privacy violation, or speculation without data.
npx skills add majiayu000/claude-skill-registry --skill hr-network-analyst-curiositech-some-claude-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# HR Network Analyst Applies graph theory and network science to professional relationship mapping. Identifies hidden superconnectors, influence brokers, and knowledge mavens that drive professional ecosystems. ## Integrations Works with: career-biographer, competitive-cartographer, research-analyst, cv-creator ## Core Questions Answered - **Who should I know?** (optimal networking targets) - **Who knows everyone?** (superconnectors for referrals) - **Who bridges worlds?** (cross-domain brokers) - **How does influence flow?** (information/opportunity pathways) - **Where are structural holes?** (untapped connection opportunities) ## Quick Start ``` User: "Who are the key connectors in AI safety research?" Process: 1. Define boundary: AI safety researchers, 2020-2024 2. Identify sources: arXiv, NeurIPS workshops, Twitter clusters 3. Compute centrality: betweenness (bridges), eigenvector (influence) 4. Classify by archetype: Connector, Maven, Broker 5. Output: Ranked list with network position rationale ``` **Key principle**: Most valuable people aren't always most famous—they connect otherwise disconnected worlds. ## Gladwellian Archetypes (Quick Reference) | Type | Network Signature
- Integrations
- Core Questions Answered
- Quick Start
- Gladwellian Archetypes (Quick Reference)
- Centrality Metrics (Quick Reference)
- Analysis Workflows
- 1. Find Superconnectors for Referrals
- 2. Map Domain Influence
- 3. Optimize Personal Networking
- 4. Organizational Network Analysis (ONA)
- Data Sources
- When NOT to Use
- Anti-Patterns
- Anti-Pattern: Degree Obsession
What does the hr-network-analyst skill do?
Professional network graph analyst identifying Gladwellian superconnectors, mavens, and influence brokers using betweenness centrality, structural holes theory, and multi-source network reconstruction. Activate on 'superconnectors', 'network analysis', 'who knows who', 'professional network', 'influence mapping', 'betweenness centrality'. NOT for surveillance, discrimination, stalking, privacy violation, or speculation without data.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill hr-network-analyst-curiositech-some-claude-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.