Nexus Automation Scaffolder

Overview

Accelerate the development of new GTM bots and automation scripts. This skill ensures every new tool follows the "Refinery" pattern: Ingest -> Logic -> Mission.

The Process

1. Module Definition

• •Name: What is the bot called? (e.g., GovEagleScraper, ApolloSignalListener).
• •Trigger: What starts the flow? (Cron, Webhook, API Poll).
• •Mission: What is the desired output? (Slack alert, CRM update, LinkedIn DM).

2. Scaffold Generation

Generate a Python file in WAR_ROOM_2026/03_ENGINEERING/ following this template:

import os
import json
import datetime

class NexusRefineryModule:
    """
    Basin::Nexus Refinery Module: <NAME>
    Objective: <MISSION>
    """
    def __init__(self):
        self.base_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
        
    def ingest(self):
        """Step 1: Raw data ingestion from <SOURCE>."""
        pass
        
    def logic_gate(self, data):
        """Step 2: Scoring and qualification logic."""
        # Is this high-signal?
        return True
        
    def execute_mission(self, qualified_data):
        """Step 3: Actionable output (Alert/DM/CRM)."""
        pass

if __name__ == "__main__":
    module = NexusRefineryModule()
    # module.run()

3. Integration

• •Update CURRENT_BATTLEFIELD.html to reflect the new "System Status" or tool connection.
• •Log the new tool in the 03_ENGINEERING manifest.

Key Principles

• •Python-Native: Prefer code over no-code for core logic to minimize "Human Latency."
• •Stateless where possible: Keep modules simple and easily replaceable.
• •Fail Gracefully: Log errors to 08_LOG_VAULT/ but don't break the main loop.
• •Agentic Ready: Ensure the tool can be invoked or read by other sub-agents.