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    saanjaypatil78

    zai-expert-consultation

    saanjaypatil78/zai-expert-consultation
    Business
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
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    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Leverage z.ai team of experts for domain-specific questions about trading, finance, engineering, and security

    SKILL.md

    z.ai Expert Team Integration

    z.ai provides a team of domain experts accessible through the zread MCP server, working alongside Google Antigravity IDE.

    Configuration ✅

    Status: Configured and ready to use

    Environment Variable (Windows PowerShell)

    # Session only
    $env:Z_AI_API_KEY = "your-z-ai-key"
    
    # Permanent (User-level)
    [Environment]::SetEnvironmentVariable("Z_AI_API_KEY", "your-key", "User")
    

    MCP Server Config

    Located in .antigravity/mcp-config.json:

    {
      "zread": {
        "type": "streamableHttp",
        "url": "https://api.z.ai/api/mcp/zread/mcp",
        "headers": {
          "Authorization": "${Z_AI_API_KEY}"
        }
      }
    }
    

    Available Experts

    Expert Domain Best For
    💰 Finance Markets, Trading Strategy, risk management, orderflow patterns
    ⚙️ Engineering Architecture, Code System design, performance, debugging
    📊 Data Science ML, Analytics Signal processing, pattern detection, models
    🔐 Security Compliance, Safety API security, secrets, audit logging

    When to Consult z.ai

    High-Value Scenarios

    Scenario Expert Example Query
    Trading logic Finance "What orderflow patterns indicate institutional accumulation?"
    System design Engineering "How should I structure WebSocket reconnection for HFT?"
    ML features Data Science "What features best predict short-term price movements?"
    Security review Security "What's the best approach for rotating API keys in production?"

    Decision Flow

    graph LR
        A[Question] --> B{Type?}
        B -->|Trading/Market| C[z.ai Finance]
        B -->|Code/Architecture| D[z.ai Engineering]
        B -->|ML/Data| E[z.ai Data Science]
        B -->|Security/Compliance| F[z.ai Security]
        C --> G[Expert Analysis]
        D --> G
        E --> G
        F --> G
        G --> H[Antigravity Implements]
    

    Collaboration Pattern

    z.ai + Antigravity Workflow

    1. Identify domain → Choose appropriate z.ai expert
    2. Ask specific question → Include context and constraints
    3. Receive expert analysis → z.ai provides recommendations
    4. Implement solution → Antigravity writes the code
    5. Validate → Test and verify

    Best Practices

    • Be Specific: Include platform context (latency, scale, market)
    • Provide Constraints: Mention requirements and limitations
    • Iterate: Refine approach based on expert feedback
    • Document: Record recommendations for future reference

    Example Usage

    Consulting Finance Expert

    "I'm building an orderflow system for Indian equities. What footprint 
    patterns should I detect to identify institutional activity, given 
    the 5% circuit limit and market hours of NSE?"
    

    Consulting Engineering Expert

    "My WebSocket connection to Alpaca drops every few hours. What's the 
    best reconnection strategy for a trading system where I can't miss 
    more than 1 second of L2 data?"
    

    Guardrails

    [!CAUTION]

    • z.ai provides expertise, not financial advice
    • Always validate recommendations against your requirements
    • Test thoroughly in paper trading before live deployment
    • Expert input should inform, not replace, your judgment
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    Repository
    saanjaypatil78/trading-platform
    Files