expert-finder

What This Skill Does

The expert-finder skill is a sophisticated research engine designed to map the intellectual landscape of any given field. Instead of relying on broad popularity metrics, it performs deep-dive analysis on niche discourse found across Twitter and Reddit. By breaking down a domain into four distinct tiers—ranging from core concepts to highly technical jargon and debate-oriented keywords—the skill identifies users who consistently contribute substantive value. It effectively cuts through the noise of 'influencer' culture to locate actual practitioners, researchers, and subject-matter authorities who hold the technical knowledge required for high-level projects or consultations.

Installation

To add this capability to your OpenClaw agent, execute the following command in your terminal:

clawhub install openclaw/skills/skills/atyachin/find-experts

Use Cases

• Talent Acquisition: Identifying top-tier engineers or specialized researchers for niche roles that standard job boards fail to reach.
• KOL Mapping: Establishing a list of Key Opinion Leaders for marketing, outreach, or collaborative projects in scientific or technical fields.
• Market Intelligence: Understanding which experts are driving the current discourse on emerging technologies, regulatory shifts, or academic breakthroughs.
• Project Validation: Finding verified voices to sanity-check architectural decisions or research methodologies by observing their past public discussions.

Example Prompts

1. "Find the top 5 researchers currently debating the trade-offs between PPO and DPO in RLHF, focusing on those who provide evidence-based arguments."
2. "Identify subject-matter experts in 'Kubernetes security' who frequently discuss multi-tenancy isolation and container escape vulnerabilities."
3. "Locate authorities in 'regenerative agriculture' who are active on Reddit and Twitter, prioritizing those who provide detailed data on soil carbon sequestration."

Tips & Limitations

• Precision vs. Recall: If your initial results are too broad, refine your query with more specific technical jargon (Tier 2/3 queries).
• Signal vs. Noise: The skill is optimized for high-density technical discussions. It may perform less effectively in domains that are primarily visual or exclusively driven by news headlines.
• Temporal Context: Expert activity can shift; if you need the absolute latest, ensure your initial prompt includes a timeframe marker to focus the web search steps.