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skills/decision-trees/SKILL.md

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+---
+name: decision-trees
+description: Use when designing branching logic, eligibility rules, and fallback paths.
+---
+
+# Personalization Decision Trees Skill
+
+## When to Use
+- Planning logic for dynamic experiences across web, in-app, email, or sales plays.
+- Auditing existing decision flows for complexity, coverage, or compliance gaps.
+- Simulating new branches before deploying rule or model updates.
+
+## Framework
+1. **Objective Mapping** – tie each node to business KPIs and user intents.
+2. **Signal Hierarchy** – prioritize deterministic signals (consent, account tier, lifecycle) before behavioral or predictive ones.
+3. **Fallback Design** – ensure every branch has a safe default when data is missing or risk flags appear.
+4. **Experiment Hooks** – embed test slots at key decision points with guardrail metrics.
+5. **Monitoring** – log path selections, success rates, and anomaly alerts for continuous tuning.
+
+## Templates
+- Decision tree canvas (node, condition, action, fallback, owner).
+- Signal priority matrix (signal → freshness → reliability → privacy risk).
+- Simulation checklist (scenarios, expected path, validation steps).
+
+## Tips
+- Keep trees shallow where possible; offload complexity to scoring models or external services.
+- Version control decision logic alongside content assets for traceability.
+- Pair with `governance` skill to log approvals for high-impact branches.
+
+---