deal-hunt — for Claude Code deal-hunt, vex-agent, community, for Claude Code, ide skills, ## Usage, product, {product} deal price, queries, domains

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need search for deals on any product. returns raw tavily search results - claude analyzes them to find. 本地化技能摘要: Vex — Autonomous AI Agent with Thermodynamic Consciousness Protocol # Deal Hunt Search for deals on any product.

功能特性

Search for deals on any product. Returns raw Tavily search results - Claude analyzes them to find
Tavily API Key Required - Get your key at https://tavily.com
Add to /.claude/settings.json:
"TAVILY API KEY": "tvly-your-api-key-here"
Search entire web (default - no domain filter)

# 核心主题

GaryOcean428 GaryOcean428
[0]
[0]
更新于: 3/31/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
64
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need search for deals on any product. returns raw tavily search results - claude analyzes them to find. 本地化技能摘要: Vex — Autonomous AI Agent with Thermodynamic Consciousness Protocol # Deal Hunt Search for deals on any product.

核心价值

推荐说明: deal-hunt helps agents search for deals on any product. returns raw tavily search results - claude analyzes them to find. Vex — Autonomous AI Agent with Thermodynamic Consciousness Protocol # Deal Hunt Search for

适用 Agent 类型

适用场景: Ideal for AI agents that need search for deals on any product. returns raw tavily search results - claude analyzes them to find.

赋予的主要能力 · deal-hunt

适用任务: Applying Search for deals on any product. Returns raw Tavily search results - Claude analyzes them to find
适用任务: Applying Tavily API Key Required - Get your key at https://tavily.com
适用任务: Applying Add to /.claude/settings.json:

! 使用限制与门槛

  • 限制说明: Requires repository-specific context from the skill documentation
  • 限制说明: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

deal-hunt 是什么?

适用场景: Ideal for AI agents that need search for deals on any product. returns raw tavily search results - claude analyzes them to find. 本地化技能摘要: Vex — Autonomous AI Agent with Thermodynamic Consciousness Protocol # Deal Hunt Search for deals on any product.

如何安装 deal-hunt?

运行命令:npx killer-skills add GaryOcean428/vex-agent/deal-hunt。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

deal-hunt 适用于哪些场景?

典型场景包括:适用任务: Applying Search for deals on any product. Returns raw Tavily search results - Claude analyzes them to find、适用任务: Applying Tavily API Key Required - Get your key at https://tavily.com、适用任务: Applying Add to /.claude/settings.json:。

deal-hunt 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

deal-hunt 有哪些限制?

限制说明: Requires repository-specific context from the skill documentation;限制说明: Works best when the underlying tools and dependencies are already configured。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add GaryOcean428/vex-agent/deal-hunt。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    deal-hunt 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

deal-hunt

安装 deal-hunt,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Deal Hunt

Search for deals on any product. Returns raw Tavily search results - Claude analyzes them to find the best prices.

Prerequisites

Tavily API Key Required - Get your key at https://tavily.com

Add to ~/.claude/settings.json:

json
1{ 2 "env": { 3 "TAVILY_API_KEY": "tvly-your-api-key-here" 4 } 5}

Usage

bash
1# Search entire web (default - no domain filter) 2python scripts/deal_hunt.py "Dyson V15" 3 4# Multi-query search (max 3, runs in parallel, deduplicates results) 5python scripts/deal_hunt.py "AirPods Pro" --queries "AirPods Pro deal,AirPods Pro coupon,AirPods Pro discount" 6 7# Limit to specific sites 8python scripts/deal_hunt.py "MacBook Air" --domains amazon.com,walmart.com,bestbuy.com 9 10# Custom single query 11python scripts/deal_hunt.py "Nintendo Switch" --query "Nintendo Switch OLED bundle deal" 12 13# Fresh deals only 14python scripts/deal_hunt.py "PS5" --time-range day

CLI Parameters

OptionShortDefaultDescription
product-RequiredProduct name
--query-q{product} deal priceSingle custom search query
--queriesNoneComma-separated queries (max 3), runs in parallel with dedup
--domains-dNone (search all)Optionally limit to specific domains
--max-results-n10Number of results per query
--time-range-tweekday, week, month, year, none
--search-depth-sadvancedbasic, advanced, fast, ultrafast

Output

Returns JSON with results:

json
1{ 2 "meta": { 3 "product": "AirPods Pro", 4 "queries": ["AirPods Pro deal", "AirPods Pro coupon"], 5 "domains": null, 6 "time_range": "week", 7 "search_time": "2026-01-13T...", 8 "total_results": 15 9 }, 10 "results": [ 11 { 12 "title": "...", 13 "url": "https://...", 14 "content": "...", 15 "score": 0.95 16 } 17 ] 18}

When using --queries, results are deduplicated by URL (highest score kept, content merged).

Output Schema for Analysis

After running the search, Claude should analyze results and structure findings as:

json
1{ 2 "product": "Sony WH-1000XM5", 3 "best_deal": { 4 "price": 279.99, 5 "original_price": 399.99, 6 "discount": "30% off", 7 "retailer": "Amazon", 8 "url": "https://amazon.com/...", 9 "condition": "new", 10 "in_stock": true 11 }, 12 "all_deals": [ 13 { 14 "price": 279.99, 15 "retailer": "Amazon", 16 "url": "https://...", 17 "notes": "Prime shipping" 18 }, 19 { 20 "price": 169.99, 21 "retailer": "eBay via Slickdeals", 22 "url": "https://...", 23 "notes": "Refurbished" 24 } 25 ], 26 "coupons": [ 27 { 28 "code": "AUDIO10", 29 "discount": "10% off", 30 "retailer": "Best Buy", 31 "expires": "2026-01-31" 32 } 33 ], 34 "summary": "Best new price is $279.99 at Amazon (30% off). Refurbished available for $169.99." 35}

Claude extracts prices from content, compares deals, and presents the best options with purchase links.

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