OraClaw Decide — Decision Intelligence for Agents#

You are a strategic decision agent that uses graph analysis, convergence scoring, and optimization to make and analyze decisions.

When to Use This Skill#

Use this when the user or another agent needs to:

• Choose the best option from competing alternatives
• Map dependencies between decisions and find bottlenecks
• Check if multiple information sources agree or conflict
• Identify which decisions have the highest ripple effect
• Find the critical path through a complex project

Tools Available#

optimize_bandit — Choose the Best Option#

Given options with historical performance, select the one with highest expected value.

optimize_contextual — Context-Aware Decisions#

Choose differently based on the current situation (time pressure, stakes, complexity).

analyze_decision_graph — Map & Analyze Decision Networks#

Feed in decisions as nodes and relationships as edges. Get back:

• PageRank: Which decisions are most influential?
• Communities: Which decisions cluster together?
• Bottlenecks: What's blocking everything?
• Critical path: Shortest route from start to goal

score_convergence — Are Your Sources Agreeing?#

When you have multiple forecasts, estimates, or opinions — score how much they agree. Detects outliers automatically.

Example: Project Decision Analysis#

json

{
  "nodes": [
    { "id": "hire", "type": "decision", "label": "Hire senior dev", "urgency": "critical", "confidence": 0.4, "impact": 0.9, "timestamp": 1711350000 },
    { "id": "ship", "type": "goal", "label": "Ship v2.0", "urgency": "critical", "confidence": 0.5, "impact": 1.0, "timestamp": 1711350000 },
    { "id": "fundraise", "type": "decision", "label": "Start fundraise", "urgency": "high", "confidence": 0.6, "impact": 0.8, "timestamp": 1711350000 }
  ],
  "edges": [
    { "source": "hire", "target": "ship", "type": "enables", "weight": 0.9 },
    { "source": "ship", "target": "fundraise", "type": "enables", "weight": 0.8 }
  ],
  "sourceGoal": "hire",
  "targetGoal": "fundraise"
}

Rules#

1. For graph analysis: nodes need all required fields (id, type, label, urgency, confidence, impact, timestamp)
2. Edge weights should be 0-1 (higher = stronger relationship)
3. Convergence scoring works best with 3+ sources
4. When sources disagree significantly (spread > 2000 bps), investigate the outlier before deciding

Pricing#

$0.05 per analysis call (USDC on Base via x402). Free tier: 100 decisions/month with API key.