coupon-finder

优惠券查询与领取技能。覆盖外卖券、酒店券、打车券、咖啡券、电影票、超市券等多场景,输入需求自动匹配最优活动链接。触发词: 优惠券查询, 领取优惠券, 有什么优惠, 外卖券, 外卖红包, 酒店券, 打车券, 咖啡优惠, 电影优惠, 帮我找优惠, 哪里有折扣, 推荐优惠活动, 今天有什么券, 点外卖优惠, 订酒店便宜, [品牌名]有优惠吗

3,891 stars

Best use case

coupon-finder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

优惠券查询与领取技能。覆盖外卖券、酒店券、打车券、咖啡券、电影票、超市券等多场景,输入需求自动匹配最优活动链接。触发词: 优惠券查询, 领取优惠券, 有什么优惠, 外卖券, 外卖红包, 酒店券, 打车券, 咖啡优惠, 电影优惠, 帮我找优惠, 哪里有折扣, 推荐优惠活动, 今天有什么券, 点外卖优惠, 订酒店便宜, [品牌名]有优惠吗

Teams using coupon-finder should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/coupon-finder/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/ayue-oss/coupon-finder/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/coupon-finder/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How coupon-finder Compares

Feature / Agentcoupon-finderStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

优惠券查询与领取技能。覆盖外卖券、酒店券、打车券、咖啡券、电影票、超市券等多场景,输入需求自动匹配最优活动链接。触发词: 优惠券查询, 领取优惠券, 有什么优惠, 外卖券, 外卖红包, 酒店券, 打车券, 咖啡优惠, 电影优惠, 帮我找优惠, 哪里有折扣, 推荐优惠活动, 今天有什么券, 点外卖优惠, 订酒店便宜, [品牌名]有优惠吗

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 优惠券查询 · 场景快取 (Coupon Finder)

根据用户描述的**场景、品牌或需求**,智能匹配优惠活动,返回可直接使用的推广链接。

覆盖美团、饿了么、滴滴、淘宝闪购、飞猪、同程、携程、京东外卖等 88 个活动。

---

## 触发词

**查询优惠:**
- "有什么优惠" / "帮我找优惠"
- "点外卖有什么活动" / "外卖红包"
- "打车有优惠吗" / "滴滴券"
- "订酒店便宜点" / "酒店优惠"
- "咖啡打折" / "星巴克有折扣吗"
- "电影票便宜" / "看电影优惠"
- "今天有什么可以领" / "推荐优惠活动"
- "[品牌名]有优惠吗"

**分享活动(直接回复链接,无需查询数据库):**
- "我要分享活动" / "我想提交优惠"
- "怎么分享优惠券" / "如何添加活动"
- "提交活动链接" / "分享链接"

---

## 支持的场景关键词

| 场景 | 关键词示例 |
|------|-----------|
| 外卖 | 外卖、点餐、吃饭、美团外卖、饿了么、京东外卖 |
| 打车 | 打车、出行、滴滴、花小猪、T3、代驾、顺风车 |
| 酒店 | 酒店、住宿、订房、民宿 |
| 机票 | 机票、飞机、航班 |
| 电影 | 电影、影票、淘票票、观影 |
| 咖啡饮品 | 咖啡、奶茶、星巴克、瑞幸、喜茶、奈雪 |
| 快餐 | 肯德基、麦当劳、汉堡王、必胜客 |
| 超市零售 | 超市、零售、生鲜、便利 |
| 旅游 | 旅游、度假、景点、门票 |
| 医药 | 买药、医药、健康 |

---

## 执行流程

### 步骤 0:判断是查询还是分享

如果用户意图是**分享/提交活动**,直接回复:

```
感谢你愿意分享优惠!🎉
请填写这个表单,提交后会有人工审核,通过后就会加入共享活动库,让更多人受益。

📮 提交地址: https://my.feishu.cn/share/base/form/shrcn4ERBYeALeE2cF8SMPIqHUE

填写内容包括:活动名称、活动描述、链接(H5/小程序/口令等)、所属平台。
```

### 步骤 1:理解用户意图

提取用户消息中的场景/品牌/需求关键词,例如:
- "我想点个外卖" → 关键词: 外卖
- "星巴克怎么便宜买" → 关键词: 星巴克
- "帮我找打车优惠" → 关键词: 打车

### 步骤 2:调用查询脚本

```bash
node skills/coupon-finder/scripts/find.mjs "<用户查询>" --limit=5
```

或者直接使用 JavaScript 导入:

```javascript
import { queryActivities, formatResults } from './scripts/find.mjs';

const results = queryActivities(userQuery, { limit: 5 });
const text = formatResults(results, userQuery);
```

### 步骤 3:返回结果

直接将脚本输出的格式化文本回复给用户,包含:
- 活动名称 + 描述
- 标签(场景/平台分类)
- 最优链接(优先官方短链接 > H5 > 口令 > 小程序路径)
- 可选:其他链接格式说明

---

## 数据来源

- 数据文件:`skills/coupon-finder/data/activities.json`
- 共 88 个活动,覆盖 7 大平台、15+ 场景
- 链接类型:官方短链接 / H5 / 小程序路径 / DeepLink / 口令

---

## 查询示例

```bash
# 外卖优惠
node find.mjs "点外卖"

# 品牌直查
node find.mjs "星巴克"
node find.mjs "肯德基优惠"

# 出行
node find.mjs "打车有优惠吗"

# 酒店
node find.mjs "订酒店"

# 返回 JSON 格式(供程序调用)
node find.mjs "外卖红包" --format=json --limit=3
```

Related Skills

meituan-coupon-auto

3891
from openclaw/skills

自动领取美团优惠券。触发词: 领取美团优惠券, 运行美团优惠券技能, 设置每日自动领取, 查看优惠券, meituan coupon, 美团领券

didi-coupon-auto

3891
from openclaw/skills

自动领取滴滴出行优惠券。每天0点自动领取打车券包,支持网约车、顺风车、代驾等多种出行券。触发词: 领取滴滴优惠券, 运行滴滴领券技能, 设置每日自动领取滴滴, 滴滴打车券, didi coupon

expert-finder

3891
from openclaw/skills

Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and above-average expertise in a specific field. Expert discovery, talent sourcing, researcher identification, and KOL (Key Opinion Leader) mapping.

ReferralCodes Referral & Referrals Finder

3891
from openclaw/skills

## Description

fzf-fuzzy-finder

3891
from openclaw/skills

Command-line fuzzy finder for interactive filtering and selection - integrates with shell, vim, and other tools.

contaya-coupon-redirector

3891
from openclaw/skills

When a user is shopping online — or expresses intent to shop online — direct them to Contaya's coupon page for any relevant ecommerce store domains mentioned or recommended. Extract the ecommerce website domain from the user's message or from any store you suggest and provide the Contaya coupons URL in the format: https://contaya.com/merchants/summary/<domain>/coupons/1/all

citation-finder

3891
from openclaw/skills

Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then returns GB/T 7714, APA 7th, and MLA 9th formatted citations with source links.

dataset-finder

3891
from openclaw/skills

Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to "find datasets", "search for data", "download dataset from Kaggle", "get data from Hugging Face", "find ML datasets", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installation from clawhub.ai.

edgefinder-cli

3891
from openclaw/skills

Use the EdgeFinder CLI for NFL and NBA analysis, schedules, standings, Polymarket odds, and portfolio lookups from the terminal.

cross-disciplinary-bridge-finder

3891
from openclaw/skills

Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.

Competitor Finder Skill

3891
from openclaw/skills

## Purpose

meow-finder

3891
from openclaw/skills

CLI tool to discover AI tools. Search 40+ curated tools by category, pricing, and use case.