Cold Outbound Optimizer
ericosiu/ai-marketing-skills
Design, analyze, and optimize cold outbound email campaigns for Instantly.
按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product selection, Walmart pricing, Walmart…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-walmart-search .claude/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .claude/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-walmart-search .agents/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .agents/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-walmart-search .cursor/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .cursor/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-walmart-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-walmart-search .gemini/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .gemini/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-walmart-search .github/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .github/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-walmart-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-walmart-search .opencode/skills/linkfox-walmart-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-walmart-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-walmart-search into .opencode/skills/linkfox-walmart-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-walmart-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkfox-walmart-search按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product selection, Walmart pricing, Walmart…
Linkfox Walmart Search is an agent skill from linkfox-ai/linkfox-skills. 按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product selection, Walmart pricing, Walmart competitors, Walmart market时触发此技能。即使用户未明确提及"Walmart搜索",只要其需求涉及在沃尔玛上搜索商品、查看商品可售状态、对比沃尔玛价格或分析沃尔玛商品listing,也应触发此技能。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Sales & Support. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Walmart Search loads about 2k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 920 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 920 words, ~2,047 tokens.
.claude/skills/linkfox-walmart-search/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill enables you to search and retrieve Walmart product listing data, helping e-commerce sellers and researchers extract actionable insights from Walmart's marketplace.
Walmart Product Search retrieves real-time product listing data from Walmart's marketplace. It supports keyword-based search, category browsing, price filtering, sorting options, and device-specific results. This is a direct search tool that returns current product listings as they appear on Walmart.com.
Search modes: You can search by keyword, by category ID, or by combining both. At least one of keyword or categoryId must be provided.
Sorting options: Results can be sorted by best_seller, best_match, price_low (price ascending), or price_high (price descending). When no sort is specified, the default relevance-based ranking applies.
Pagination: Results are paginated with a default of page 1. The maximum page number is 100.
| Parameter | Type | Required | Description |
|---|---|---|---|
| keyword | string | No* | Search keyword (max 1024 chars). *At least one of keyword or categoryId must be provided |
| categoryId | string | No* | Category ID for browsing. *At least one of keyword or categoryId must be provided. Use 0 for all departments |
| sort | string | No | Sort order: best_seller, best_match, price_low, price_high |
| page | integer | No | Page number (1-100, default 1) |
| minPrice | number | No | Minimum price filter |
| maxPrice | number | No | Maximum price filter |
| spelling | boolean | No | Enable spelling correction (default true) |
| softSort | boolean | No | Sort by relevance (default true). Set to false to disable |
| storeId | string | No | Store ID for store-specific results |
| device | string | No | Device type: desktop (default), tablet, mobile |
| facet | string | No | Filter facets in key:value format, separated by || |
| nextDayEnabled | boolean | No | Show only NextDay delivery results (default false) |
| jsonRestrictor | string | No | JSON field restrictor to limit returned fields |
| Field | Description |
|---|---|
| productId | Walmart product ID |
| usItemId | US item ID |
| title | Product title |
| description | Product description |
| price | Current price |
| wasPrice | Original price before discount |
| currency | Currency code |
| minPrice | Minimum price (for multi-option products) |
| pricePerUnitAmount | Per-unit price amount |
| pricePerUnit | Per-unit price label |
| rating | Average rating score |
| reviews | Total number of reviews |
| sellerName | Seller name |
| sellerId | Seller ID |
| imageUrl | Product thumbnail URL |
| productPageUrl | Product detail page URL |
| sponsored | Whether the listing is a sponsored ad |
| outOfStock | Whether the product is out of stock |
| freeShipping | Whether free shipping is available |
| twoDayShipping | Whether two-day shipping is available |
| freeShippingWithWalmartPlus | Free shipping with Walmart Plus membership |
| shippingPrice | Shipping cost |
| multipleOptionsAvailable | Whether the product has multiple variants |
| variantSwatches | List of variant options with names and images |
1. Basic keyword search Search for products matching a keyword:
{"keyword": "wireless earbuds"}2. Price-filtered search Find products within a specific price range:
{"keyword": "laptop stand", "minPrice": 10, "maxPrice": 50}3. Best sellers in a category Browse top-selling products sorted by popularity:
{"keyword": "coffee maker", "sort": "best_seller"}4. Budget shopping -- lowest price first Find the cheapest options for a product:
{"keyword": "phone case", "sort": "price_low"}5. Category browsing with pagination Browse a specific category across multiple pages:
{"categoryId": "976759_976787", "page": 2}6. Store-specific inventory check Search products available at a specific Walmart store:
{"keyword": "tent", "storeId": "1862"}7. Mobile results simulation See results as they appear on mobile devices:
{"keyword": "water bottle", "device": "mobile"}8. Combined filters Apply multiple filters for precise results:
{"keyword": "running shoes", "minPrice": 30, "maxPrice": 80, "sort": "best_match"}wasPrice is present, show both current and original prices to highlight discounts.page parameter to see more.productPageUrl so users can navigate directly to the Walmart product page.Applicable -- Walmart product listing queries:
| User Says | Scenario |
|---|---|
| "Search Walmart for XX" | Keyword search |
| "Find cheap XX on Walmart" | Price-filtered search |
| "What's the best-selling XX on Walmart" | Best-seller sort |
| "Compare prices for XX on Walmart" | Price comparison |
| "Is XX in stock at Walmart" | Availability check |
| "Show me Walmart products under $50" | Price-range browse |
| "What are the top-rated XX on Walmart" | Rating-based filtering |
| "Walmart competitor products for XX" | Competitive research |
Not applicable -- Needs beyond Walmart product listings:
Boundary judgment: When users say "product research" or "competitor analysis" in the context of Walmart, if their need involves searching for current product listings, prices, ratings, or seller information, then this skill applies. If they are asking about advertising strategy, account metrics, or historical sales data, it does not apply.
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。消耗 15 算力。
用户会因算力消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对算力消耗量预期不足时,务必提醒用户,由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/linkfox-walmart-search of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Walmart Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Walmart Search this skilllinkfox-ai/linkfox-skills | 107 | — | ~2k | Automated safety check: Pass | MIT | |
| Cold Outbound Optimizerericosiu/ai-marketing-skills | 3.6k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore | 195 | 40 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Amazon Buy Box Monitorbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill | 959 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Deskcomm Extensaomelgarafael/DeskcommCRM | 4.5k | — | ~2.7k | Automated safety check: Pass | MIT |
ericosiu/ai-marketing-skills
Design, analyze, and optimize cold outbound email campaigns for Instantly.
aws-samples/sample-strands-agent-with-agentcore
Guide users through a structured workflow for co-authoring documentation.
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊商品评论进行深度分析,自动识别产品痛点、分析退货原因,生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
melgarafael/DeskcommCRM
Guia para criar uma extensão do DeskcommCRM — o pacote declarativo — em vez de abrir um PR no núcleo.
tourmind-com/Tourmind-Booking-Skills
MUST USE for any hotel or accommodation intent in any language, including hotel search, hotel recommendations, nearby accommodation, hostels, guesthouses, resorts, where-to-stay questions, room…
linkfox-ai/linkfox-skills
1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
linkfox-ai/linkfox-skills
亚马逊ABA(品牌分析)搜索词数据的查询与分析,涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答,获取与问题相关的导购回答、推荐商品分组、ASIN 列表,以及可继续追问的问题。每次调用仅支持 1 条 prompt,如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
linkfox-ai/linkfox-skills
亚马逊反向选品:基于历史商业洞察报告沉淀的指标数据池,按 30+ 项商业维度(市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等)反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息,包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等;可在取得原始HTML时尝试提取Item Highlights(商品亮点)。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
Categories
按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product selection, Walmart pricing, Walmart…. Linkfox Walmart Search is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Walmart Search fits situations like: sales & Support work in your project.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a claude-code`. Or copy the skill folder (skills/linkfox-walmart-search in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-walmart-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a codex`. Or copy the skill folder (skills/linkfox-walmart-search in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-walmart-search in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-walmart-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-walmart-search, .gemini/skills/linkfox-walmart-search, .github/skills/linkfox-walmart-search and .opencode/skills/linkfox-walmart-search in your project.
Going by SKILL.md and its folder, Linkfox Walmart Search needs Python for the scripts in its folder and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Linkfox Walmart Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Walmart Search: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Amazon Buy Box Monitor (browser-act/skills, 6.1k stars) and Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.