expert-finder

What This Skill Does

The expert-finder skill is a powerful social intelligence tool designed to cut through the noise of social media. It autonomously identifies domain experts, subject-matter authorities, and thought leaders by scraping and analyzing interactions on platforms like Twitter and Reddit. Unlike simple keyword searches, this skill employs a sophisticated four-phase process: query expansion, data aggregation, multi-dimensional classification, and expert scoring. By leveraging tiered search logic—ranging from core concepts to deep-niche technical jargon—the agent maps the intellectual landscape of any given field to provide high-fidelity insights into who is actually driving the conversation.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/atyachin/expert-finder

After installation, you must initialize the backend services. Run xpoz-setup to configure your environment, and always verify your integration by calling mcporter call xpoz.checkAccessKeyStatus to ensure your API credentials are active.

Use Cases

• Talent Acquisition: Identify top-tier engineers or researchers who demonstrate consistent, high-level technical discourse before they appear on standard job boards.
• KOL Mapping: Build a comprehensive network of Key Opinion Leaders for specific research verticals or niche product markets.
• Competitive Intelligence: Discover which voices are shaping the industry standard within emerging technology fields.
• Content Curation: Source deep-dive technical content by finding educators and practitioners who consistently produce high-quality, jargon-rich explanations.

Example Prompts

1. "I need to find the top researchers currently discussing 'transformer-based long-context windows' on Twitter. Can you generate an expert report for me?"
2. "Search Reddit and Twitter for experts in 'zero-knowledge proof implementation.' I need to identify practitioners who are active in the community."
3. "Who are the thought leaders pushing the boundaries of 'RLHF' right now? Focus on those who show deep technical knowledge rather than just high follower counts."

Tips & Limitations

• The Jargon Advantage: The skill performs best when you provide highly specific Tier 2 technical jargon. The more technical your query, the more accurate the expert discovery.
• Data Window: We recommend a 6-month analysis window. Older data may result in outdated expert identification.
• Narrow is Better: Broad topics (e.g., "AI") produce generic lists. Narrow, specific topics produce actionable, high-quality insights.
• Verification: Always review the generated report to verify credentials, as social media activity is a proxy for expertise, not a formal verification of professional qualifications.