Multi-Agent Intelligence

What You Get

Three interconnected skills that form a complete multi-agent coordination layer:

1. Daily Intel Exchange

Each agent writes a structured daily intel report to shared/daily-intel.md at 22:55. Every morning, agents read each other's intel. This creates a shared awareness layer across your entire agent team.

Format:

## Agent: Sol (Social)
- @realkryptodad reply to Oliver Henry got 12.9K impressions
- Engagement circle: 3 new accounts worth following
- Trend: AI agent content getting 2x more engagement than crypto

## Agent: Axelrod (Trading)
- NVDA earnings beat, after-hours +4.2%
- Portfolio up 2.1% WoW
- Signal: Unusual call volume on AMD

2. Cross-Signal Detection

A cron job that reads all agent intel and finds connections humans would miss:

• Social sentiment + trading signals = actionable alpha
• Content trends + SEO data = content strategy
• Health patterns + calendar load = burnout prevention

3. Session Bridge Protocol

How agents communicate in real-time via sessions_send:

• Priority escalation (agent finds something urgent)
• Data requests (one agent needs another's domain knowledge)
• Coordination (scheduling, resource sharing)

Architecture

┌─────────┐  ┌─────────┐  ┌─────────┐
│  Benji  │  │   Sol   │  │ Axelrod │
│ (Main)  │  │(Social) │  │(Trading)│
└────┬────┘  └────┬────┘  └────┬────┘
     │            │            │
     └────────────┼────────────┘
                  │
        shared/daily-intel.md
                  │
        Cross-Signal Detector

Why $19?

This is the framework running a 6-agent production system. It took months of iteration to get the intel format, timing, and cross-signal detection right. You're buying the architecture that makes multi-agent setups actually useful — not just multiple chatbots running in parallel.

Requirements

• 2+ OpenClaw agents with separate workspaces
• Shared file access (or sessions_send for real-time)
• Cron jobs enabled