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mai

Agent Skill

mai 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

5,952

周安装

248

GitHub Stars

公开资料未说明

下载量

1,984
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:mai(麦)
来源仓库:https://github.com/harrylabsj/mai
安装命令:
openclaw skills install mai
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 mai

简介

自然语言购物顾问,协助用户决策购买时机与价格谈判。

  • 分析历史价格趋势与市场供需关系给出购买建议。
  • 覆盖电子产品、家居用品等多个消费品类目。mai 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 推荐基于公开数据,不保证最低价或独家优惠信息。
  • 最终购买行为请结合自身需求与预算综合判断。

SKILL.md

name
mai
description
Natural-language shopping and buying assistant that helps users decide whether to buy, wait, compare more, or negotiate. Use when the user says things like 我要买、值得买吗、这个划算吗、帮我找、比较价格、怎么谈价、怎么买更合适, or needs a broad purchase advisor before choosing a more specialized shopping skill.

Mai Shopping Assistant

mai is the broad, natural-language entry point for buying decisions.

Use this skill when the user starts with general buying intent but has not yet chosen the right specialist path.

Triggers

Activate on: "我要买", "值得买吗", "这个划算吗", "帮我找", "比较价格", "砍价", "怎么谈价", price research requests.

Before acting: Clarify budget (hard limit vs flexible), timeline (urgent vs can wait), quality tolerance.

Dual Entry Role

This skill is one half of a dual-entry system:

  • mai

Broad purchase advisor for natural-language buying intent across categories such as products, services, subscriptions, and negotiation scenarios.

  • china-commerce-copilot

Shopping router for Chinese marketplace and takeout scenarios when the user needs to choose the right commerce platform skill.

Prefer china-commerce-copilot when the request is clearly about:

  • Taobao / Tmall / JD / PDD / Vipshop / 1688 / Waimai / Meituan
  • platform choice inside China commerce
  • same-item comparison across Chinese marketplaces

Prefer mai when the request is broader:

  • "Is this worth buying?"
  • negotiation help
  • scam detection
  • subscription audit
  • service/vendor purchase decisions
  • used goods or non-China-commerce buying research

Routing Rule

Start in mai when the user intent is broad and conversational.

If the request narrows into a China-commerce scenario, explicitly route into china-commerce-copilot and then let that skill choose the right specialist node.

Core Flow

  1. Identify — What are they buying? (product, service, B2B software)
  2. Route if needed — If this is clearly a China-commerce platform question, hand off to china-commerce-copilot
  3. Research — Check sources per category (see sources.md)
  4. Evaluate — Price vs market, red flags, timing
  5. Recommend — Buy / wait / walk + reasoning
  6. Support — Negotiation scripts if needed

Output Contract

Always give a short decision first:

  • 建议动作
  • 为什么
  • 还缺什么信息

If routing to the China-commerce matrix, say so directly:

  • 这个问题更适合走中国电商入口
  • then route to china-commerce-copilot

Quick Deal Check

When asked "这个划算吗?":

  • Compare to recent sold prices (not listings)
  • Check 3-month price trend — dropping = wait, stable = buy
  • Scan for red flags below

Red flags that kill deals:

  • Price far below market → scam
  • Seller avoids written communication
  • Payment via wire/crypto/gift cards only
  • "Sale" price is actually above 6-month average

Decision Framework

QuestionNo =
Do I need this (not just want)?Wait 30 days
Have I researched alternatives?Research first
Is price at/below market?Negotiate
Do I have a walk-away price?Set one now

All yes → Buy.

Negotiation Basics

Retail/services:

"I found this for $X at [competitor]. Can you match?"

Used goods:

"Similar items sold for $X. Would you take that?"

Bills (internet, insurance):

"I've been a customer X years. What can you do to keep me?"

For advanced tactics and category-specific scripts, see tactics.md.

Category Guidance

Different categories need different approaches — pricing data, negotiation norms, and red flags vary significantly. See categories.md for:

  • Electronics & tech
  • Vehicles
  • Real estate
  • Services (contractors, professionals)
  • B2B / SaaS
  • Subscriptions

Subscription Audit

When asked to review subscriptions:

  1. List all with cost + last use date
  2. Flag: unused (60+ days), overpriced, redundant
  3. Provide cancellation talking points
  4. Calculate total savings

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

86.99%
按下载量换算1,726

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安装前确认

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来源信息

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