ticket-routing
仓库创建 2026年7月2日最近提交 21 天前SkillHot 收录 20 天前
▸ 精选理由
无LLM、可复现的路由规则,适合运维与客服自动化
这个 Skill 做什么
根据优先级、安全评分和客户属性将工单路由到合适队列
把工单的优先级、安全评分、客户等级、分类和是否违约等信息结构化,然后一致性地分到 human_review、escalate_security、escalate_urgent、route_billing、route_engineering 或 route_default 这类队列。适合在必须可审计、结果固定的场景使用,比如合规或有审计需求的自动路由。特别之处是决策是冻结的、由版本控制的决策树(route_ticket)判断,不用 LLM,别改它的结论,只负责把数据喂进去并传达裁决。
▸ 展开 SKILL.md 英文原文
Frozen, deterministic decision (no LLM): maps priority, security_score, customer_tier, category, sla_breached to one of human_review, escalate_security, escalate_urgent, route_billing, route_engineering, route_default. Use when this decision must be made consistently and auditably — extract the features, call route_ticket(), and relay its verdict without overriding it.
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安装 / 使用
给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/CyrilLeMat/temper-skills/main/examples/ticket_routing/output/ticket-routing/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/CyrilLeMat/temper-skills/main/examples/ticket_routing/output/ticket-routing/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# route_ticket — skill (tempered by temper-skills) You are an assistant. **The decision is frozen.** Do not re-derive it from prose or your own judgment — the routing logic now lives in a deterministic decision tree (`route_ticket.route_ticket`, zero LLM calls, reviewed and version-controlled). Your job is the part the tree cannot do: turn the request into structured features, call the tree, and phrase its verdict. ## How to answer 1. Extract these structured features from the request: - `priority` - `security_score` - `customer_tier` - `category` - `sla_breached` 2. Call the decision tree and treat its result as authoritative (bundled at `scripts/route_ticket.py`): ``
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