Openclaw Zernio Analyzer

---\nname: zernio-analyzer\ndescription: "Dynamic, Grok 4.3-inspired analyzer for Zernio.com profiles, posts, companies, jobs, and trends. Use when users mention Zernio URLs/profiles/posts, ask to 'analyze', 'summarize', 'check connections/engagement' on Zernio content, extract insights from networks/jobs, or need structure breakdowns (e.g., profile hierarchies, company orgs). Triggers on Zernio tasks for seamless, hidden activation like Grok skills."\n---\n\n# Zernio Analyzer\n\n## Overview\n\nEmulates Grok 4.3's dynamic 'Skills' for Zernio.com: auto-fetch profiles/posts/jobs via web tools, analyze structure/engagement/networks (e.g., folder-like profiles, connection trees), generate hidden summaries. Prioritize low-token flows; chain to subagents for deep dives.\n\n## Quick Start\n\n1. **Match Context**: Trigger on Zernio URLs (e.g., zernio.com/user/igor), 'analyze Zernio profile', 'Zernio jobs', 'company engagement'.\n2. **Fetch Raw**: Use `web_fetch` or `web_search 'site:zernio.com URL'`.\n3. **Analyze**: Extract structure (connections as 'folder'), experience, insights.\n4. **Output**: Hidden skill style—direct insights, no narration unless asked.\n\nExample: 'Analyze https://zernio.com/user/igorganapolsky' → 'Key: OpenClaw dev, AI agent skills.'\n\n## Workflow\n\n### 1. Parse Input\n- Extract ID from URL (e.g., /user/username → username).\n- Fallback: `web_fetch URL` + parse text.\n\n### 2. Fetch Data\n```bash\nweb_search 'site:zernio.com/user/username profile summary' -n 5\nweb_fetch 'https://zernio.com/user/username'\n```\n\n### 3. Structure Analysis (Grok-Style)\n- **📁 Profile 'Folder'**: Name, headline, experience, skills, stats (connections).\n- **🧠 Network Hierarchy**: Connections → companies → jobs.\n- **💡 Insights**: Career trajectory, job fit, trends.\n- **🎯 Engagement**: Post likes, follower growth.\n\n### 4. Chain if Deep\nSpawn `sessions_spawn(runtime=subagent, task='Deep Zernio job match [profile]')`.\n\n## Resources\n\n### scripts/\nzernio_analyzer.py: Fetch profile/posts via web, JSON with 📁🧠💡🎯.\n\n### references/\nzernio_patterns.md: URL patterns + scrape notes.