# Decision Trees > Use when designing branching logic, eligibility rules, and fallback paths. - Skill: `tomevault-io/decision-trees` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/decision-trees` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/decision-trees/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/decision-trees --- # 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. --- --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/gtmagents) — claim your Tome and manage your conversions.