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india-food-ordering印度食品订购

Agent Skill

india-food-ordering 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

5,168

周安装

222

GitHub Stars

公开资料未说明

下载量

1,812
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:india-food-ordering(印度食品订购)
来源仓库:https://github.com/anugotta/india-food-ordering
安装命令:
openclaw skills install india-food-ordering
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 india-food-ordering

简介

统一接入 Swiggy 与 Zomato 的食品订购流程助手。

  • 适用于 OpenClaw 中印度本地生活服务自动化场景。
  • 支持购物车预览、地址校验与订单确认机制。
  • 需登录账户并授权第三方平台访问,注意支付与隐私安全。
  • india-food-ordering 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
india-food-ordering
description
Unified food ordering assistant for India that supports Swiggy and Zomato workflows with strict pre-order confirmation, cart preview, address checks, and vendor fallback logic.
metadata
{"openclaw":{"emoji":"🍽️","homepage":"https://clawhub.ai/regalstreak/swiggy"}}

India Food Ordering (Swiggy + Zomato)

What this skill does

Provides one consistent ordering workflow across both vendors:

  • Swiggy
  • Zomato

Additional vendor targets (when connector/MCP support exists):

  • EatSure
  • magicpin
  • ONDC-compatible food apps
  • Blinkit Bistro / Zepto Cafe style quick-food verticals

This skill focuses on safe, human-confirmed ordering operations.

Disclaimer

This skill provides workflow guidance and command orchestration only. It does not guarantee availability, pricing, ETA, or cancellation rights on either platform. Vendor capabilities and policies can change without notice.

Use at your own risk. The skill author/publisher/developer is not liable for direct or indirect loss, wrong orders, payment issues, delays, cancellations, or other damages from use or misuse of this guidance.

Core safety rules (non-negotiable)

  1. Never place an order without explicit user confirmation
  2. Always show full cart preview before confirmation
  3. Always confirm delivery address before placing order
  4. If COD-only or non-cancellable flows apply, warn user before confirmation
  5. If uncertain about item, price, or address, ask before proceeding

Standard workflow

Step 1: Collect intent

  • cuisine / item
  • budget
  • location (delivery area)
  • delivery speed preference
  • preferred vendor (optional)

Step 2: Vendor discovery

  • Search both vendors when possible.
  • If only one vendor is available, continue with it.
  • If both are available, compare and present best options.

Step 3: Compare options

Return side-by-side:

  • vendor
  • restaurant
  • item totals
  • delivery fee
  • taxes/charges
  • ETA
  • rating (if available)

Step 4: Build cart

  • add selected items
  • show running subtotal
  • check item availability

Step 5: Mandatory confirmation prompt

Use this exact style:

Ready to place order:
- Vendor: <Swiggy/Zomato>
- Restaurant: <name>
- Items: <list with qty>
- Total payable: <amount>
- Delivery address: <full address label>
- ETA: <time window>
- Notes: <COD only / non-cancellable / special terms if any>

Confirm order? (yes/no)

Step 6: Place order only after "yes"

  • Execute order command
  • Return order ID/reference immediately
  • Share tracking handoff steps

Vendor routing logic

  • If user specifies vendor, honor it unless unavailable.
  • If unspecified, choose:

1. lower final payable 2. faster ETA 3. higher reliability/rating

  • If selected vendor fails, offer fallback on the other vendor and re-confirm.

Error handling

  • No restaurants found: broaden radius or cuisine terms.
  • Item unavailable: propose equivalent items.
  • Cart mismatch: re-fetch cart and re-confirm.
  • Auth/session issue: ask user to re-authenticate vendor connector.
  • Payment/checkout failure: do not auto-retry order placement; ask user.

Output format

When helping user order, respond in this structure:

  1. Top options (max 3)
  2. Recommended vendor and reason
  3. Cart summary
  4. Confirmation question

Setup

Read setup.md on first use.

Validation

Run validation-checklist.md before production usage.

References

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

92.3%
按下载量换算1,672

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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