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customer-support-autopilot

Classify customer support tickets, draft accurate responses, suggest macros, and route escalations based on risk, SLA, and business impact.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.0.0
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184
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0
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概述
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版本历史

customer-support-autopilot

# Customer Support Autopilot ## Purpose Improve support response speed and consistency while reducing risk. ## Core capabilities - classify incoming tickets by intent/severity - draft response suggestions in brand tone - propose macro usage and next actions - route to L1/L2/L3 based on policy - detect risky cases (legal, security, billing, fraud, abuse) ## Guardrails - never invent policy promises - never disclose sensitive internal info - escalate regulated/high-risk cases immediately - include reference IDs when available ## Workflow 1. Parse ticket and extract entities. 2. Classify category + urgency. 3. Draft response with confidence level. 4. Recommend escalation path and SLA. 5. Output macro + notes for agent. ## Output format 1. category + severity 2. draft response 3. escalation recommendation 4. SLA target + required follow-up ## Setup Read [setup.md](setup.md). ## Examples See [examples.md](examples.md).

标签

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

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 customer-support-autopilot-1776100201 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 customer-support-autopilot-1776100201 技能

通过命令行安装

skillhub install customer-support-autopilot-1776100201

下载 Zip 包

⬇ 下载 customer-support-autopilot v1.0.0

文件大小: 2.07 KB | 发布时间: 2026-4-17 14:33

v1.0.0 最新 2026-4-17 14:33
- Initial release of customer-support-autopilot skill.
- Classifies incoming support tickets by intent and severity.
- Drafts response suggestions in brand tone with confidence levels.
- Recommends macro usage, next actions, and escalation paths (L1/L2/L3).
- Detects and escalates high-risk cases (legal, security, billing, fraud, abuse).
- Enforces guardrails: no invented policies or sensitive info disclosure.
- Provides clear output format for easy agent handoff.

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