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support-scripts支持脚本

Agent Skill

support-scripts 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,272

周安装

135

GitHub Stars

公开资料未说明

下载量

1,069
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:support-scripts(支持脚本)
来源仓库:https://github.com/leooooooow/support-scripts
安装命令:
openclaw skills install support-scripts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install support-scripts

简介

为常见的客户服务查询、投诉和订单问题构建预先编写的响应库,以保持基调并减少解决时间。

SKILL.md

name
support-scripts
description
Build a pre-written response library for common customer service inquiries, complaints, and order issues that maintains tone and reduces resolution time.

Support Scripts

Every ecommerce brand faces the same thirty customer service situations repeatedly — where is my order, the product arrived damaged, I want a refund, the size is wrong, the discount code didn't apply — yet most small teams respond freestyle every time, creating inconsistent tone, slower resolution, and burned-out staff. This skill builds a tailored library of pre-written response templates for your most frequent inquiry types, calibrated to your brand voice and platform policies, so your team or VA can resolve tickets faster without sacrificing quality or empathy.

Use when

  • You are onboarding a new customer service VA or team member on TikTok Shop, Shopee, or your Shopify store and need a set of ready-to-send reply templates they can use from day one without guessing what tone or information to include.
  • Your average response time is too slow because agents spend too long writing individual replies, and you want to cut handle time by giving them a structured script library for the 10–15 situations that account for 80% of your ticket volume.
  • You have had complaints about inconsistent or robotic-sounding replies from your support team and want to create templates that sound warm and on-brand while still being efficient to send.
  • You are scaling into a new market or platform (e.g., launching on Amazon or TikTok Shop US from an existing Shopee base) and need to build a fresh response library that reflects the platform's norms and your updated policies.

What this skill does

This skill takes your list of common inquiry types, your brand voice guidelines, and your current policies around shipping, returns, and refunds, then generates a full library of ready-to-use response templates. Each template includes a subject line or opener, a body with empathetic acknowledgment, the key information the customer needs, any required next steps or instructions, and a closing that reinforces brand trust. Templates are tagged by inquiry type and platform so your team can locate and customize them quickly. Where tone matters — for example, a refund denial versus a shipping delay apology — the skill generates multiple tone variants so agents can choose the most appropriate one for context.

Inputs required

  • Inquiry type list (required): List the 5–20 customer service scenarios you want templates for, such as "WISMO (where is my order)", "damaged item", "refund request", "wrong item received", "discount code not working". Be specific — the more precise the scenario, the more usable the template.
  • Brand voice description (required): Describe your brand tone in 2–5 words or sentences (e.g., "friendly and reassuring, like talking to a helpful neighbor" or "professional but warm, never corporate-sounding"). Include any words or phrases to avoid.
  • Policy details (optional): Current return window, refund method, shipping SLA, and any platform-specific rules (e.g., TikTok Shop's 30-day return policy) so templates accurately reflect what you can and cannot promise customers.

Output format

The output is organized as a numbered template library. Each entry contains: a Template ID and Name (e.g., "CS-04: Damaged Item Received"), the Trigger Scenario describing when to use it, the Full Response Text ready to copy and customize, Personalization Placeholders in brackets (e.g., [Customer Name], [Order Number], [Expected Delivery Date]), and a Usage Note flagging any edge cases or tone variants to consider. Templates are grouped by category (Order Issues, Returns & Refunds, Product Questions, Promotions) for easy navigation.

Scope

  • Designed for: ecommerce operators, customer service managers, TikTok Shop sellers, Shopify DTC brands
  • Platform context: TikTok Shop, Shopee, Amazon, Shopify, platform-agnostic
  • Language: English

Limitations

  • Templates are starting points and must be reviewed and customized to match your exact policies before use — sending them verbatim without updating placeholders and policy details can create customer confusion or legal exposure.
  • This skill does not integrate with helpdesk platforms like Gorgias, Freshdesk, or Zendesk — templates are text outputs that must be manually imported or copy-pasted into your system.
  • Highly jurisdiction-specific legal requirements (e.g., EU consumer protection law, Australian Consumer Law mandated refund rights) require verification by a qualified professional before being reflected in customer-facing templates.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.75%
按下载量换算810

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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