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oraclaw-decide

Decision intelligence for AI agents. Analyze options, map decision dependencies with PageRank, detect when information sources conflict, and find the choices that matter most.

作者: admin | 来源: ClawHub
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V 1.0.0
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oraclaw-decide

# 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.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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skillhub install oraclaw-decide-1775980628

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⬇ 下载 oraclaw-decide v1.0.0

文件大小: 2.06 KB | 发布时间: 2026-4-13 11:22

v1.0.0 最新 2026-4-13 11:22
- Initial release of OraClaw Decide: strategic decision intelligence for AI agents.
- Analyze options, map dependencies with PageRank, and find bottlenecks and critical paths in decision graphs.
- Detect agreement/conflict between multiple information sources with convergence scoring.
- Includes tools for bandit optimization, contextual choices, and decision dependency analysis.
- Supports decision networks with nodes (decisions/goals) and weighted edges (relationships).
- Pricing: $0.05 per analysis call, with a free tier for up to 100 decisions/month.

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