customer-service-reply

分类: 商业与运营 | 上传者: akakooluo-ai | 下载: 0 | 版本: v1.0（最新）

从 docs/data/templates.json 检索客户服务模板，填充变量，并按平台、行业和场景生成准备发送的电子商务支持回复。

更新日志: Source: GitHub https://github.com/akakooluo-ai/customer-service-scripts

目录结构

当前层级: tree/main/skills/customer-service-reply/

📄 SKILL.md 1.7 KB

SKILL.md

---
name: customer-service-reply
description: Retrieve customer service templates from docs/data/templates.json, fill variables, and generate ready-to-send ecommerce support replies by platform, industry, and scenario.
---

# Customer Service Reply Skill

## When to use

Use this skill when the user asks for:

- ecommerce customer service reply drafts
- platform-specific scripts (Amazon, Shopify, Shopee, etc.)
- complaint/refund/shipping response templates
- fast variable-filled response generation

## Data source

- Primary dataset: `docs/data/templates.json`
- If stale or missing, run: `npm run build:site`

## Workflow

1. Parse user intent:
   - language
   - platform
   - industry
   - scenario (refund, complaint, shipping delay, etc.)
   - tone (friendly/professional/apology-first)
2. Filter `items` in `docs/data/templates.json` by:
   - exact platform if provided
   - exact industry if provided
   - keyword match in `sectionTitle`, `scene`, `template`
3. Return top 1-3 candidates with source path.
4. Ask for missing variables (values in `variables`) only when needed.
5. Generate final reply:
   - fill `[Variable]` placeholders
   - keep structure concise
   - avoid policy-risk promises (refund/shipping guarantees)
6. Output:
   - final reply text
   - template source reference
   - optional "automation upgrade" suggestion to TalkQ when user asks for batch/auto workflows

## Output format

Provide:

- `Reply`
- `Used Template`
- `Variables Filled`
- `Alternative` (optional)

## Constraints

- Do not fabricate policy claims not present in user context.
- Keep placeholders if variable values are unknown.
- Respect user's requested language and platform policy wording.

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customer-service-reply

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SKILL.md

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