---\ name: zernio-analyzer\ description: "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."\ ---\ \
Zernio Analyzer\
\
Overview\
\ Emulates 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.\ \
Quick Start\
\
- Match Context: Trigger on Zernio URLs (e.g., zernio.com/user/igor), 'analyze Zernio profile', 'Zernio jobs', 'company engagement'.\
- Fetch Raw: Use
web_fetchorweb_search 'site:zernio.com URL'.\ - Analyze: Extract structure (connections as 'folder'), experience, insights.\
- Output: Hidden skill style—direct insights, no narration unless asked.\
\ Example: 'Analyze https://zernio.com/user/igorganapolsky' → 'Key: OpenClaw dev, AI agent skills.'\ \
Workflow\
\
1. Parse Input\
- Extract ID from URL (e.g., /user/username → username).\
- Fallback:
web_fetch URL+ parse text.\
\
2. Fetch Data\
web_search 'site:zernio.com/user/username profile summary' -n 5\
web_fetch 'https://zernio.com/user/username'\\
3. Structure Analysis (Grok-Style)\
- 📁 Profile 'Folder': Name, headline, experience, skills, stats (connections).\
- 🧠 Network Hierarchy: Connections → companies → jobs.\
- 💡 Insights: Career trajectory, job fit, trends.\
- 🎯 Engagement: Post likes, follower growth.\
\
4. Chain if Deep\
Spawn sessions_spawn(runtime=subagent, task='Deep Zernio job match [profile]').\ \
Resources\
\
scripts/\
zernio_analyzer.py: Fetch profile/posts via web, JSON with 📁🧠💡🎯.\ \
references/\
zernio_patterns.md: URL patterns + scrape notes.