Agent skill

Linkfox Geekbi Temu Market Research

by linkfox-ai in linkfox-ai/linkfox-skills

使用 GeekBI 分析 Temu 公开市场的类目机会与搜索关键词需求,支持按蓝海指数、累计销量、累计销售额、价格、商品数和店铺数筛选,并分析日/周/月趋势。当用户提到 Temu 类目市场、类目机会、搜索词、蓝海词、需求趋势、Temu category research、keyword research 或 demand research 时触发。仅查询 Temu 类目 ID、catId…

MITAuto-check passedMarketing & SEO

Install Linkfox Geekbi Temu Market Research

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-market-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-geekbi-temu-market-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-geekbi-temu-market-research .claude/skills/linkfox-geekbi-temu-market-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
linkfox-geekbi-temu-market-research
GitHub stars
107
Token cost
~2.8k tokens
SKILL.md length
1,132 words
Files
8 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

使用 GeekBI 分析 Temu 公开市场的类目机会与搜索关键词需求,支持按蓝海指数、累计销量、累计销售额、价格、商品数和店铺数筛选,并分析日/周/月趋势。当用户提到 Temu 类目市场、类目机会、搜索词、蓝海词、需求趋势、Temu category research、keyword research 或 demand research 时触发。仅查询 Temu 类目 ID、catId…

  • Works in 6 steps: State marketplace name, regionId,… → For categories, show the full category… → For keywords, show the phrase,… → …
  • Tasks that involve Market research
  • SKILL.md covers Core Concepts, Endpoint:…, Endpoint:… and Endpoint: /geekbi/temu/siteList, plus 7 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Geekbi Temu Market Research is an agent skill from linkfox-ai/linkfox-skills. 使用 GeekBI 分析 Temu 公开市场的类目机会与搜索关键词需求,支持按蓝海指数、累计销量、累计销售额、价格、商品数和店铺数筛选,并分析日/周/月趋势。当用户提到 Temu 类目市场、类目机会、搜索词、蓝海词、需求趋势、Temu category research、keyword research 或 demand research 时触发。仅查询 Temu 类目 ID、catId 或类目树时使用 linkfox-temu-category-search。本 skill 不用于商品详情、店铺明细或评论分析。

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/geekbi_temu_category_list.py`).

It sits in Marketing & SEO, covering Market research and Keyword research. The licence is MIT.

When your agent uses it

  • Tasks that involve Market research
  • Tasks that involve Keyword research

Example prompts

  • “/linkfox-geekbi-temu-market-research”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. State marketplace name, regionId, currency, filters, sort, page, and page size.
  2. For categories, show the full category path, catId, level, demand/revenue, average price, item/shop supply, semi-managed supply, and…
  3. For keywords, show the phrase, associated category path/IDs, demand/revenue, average price, item/shop supply, semi-managed supply…
  4. Label monetary values with the selected site's currency. Keep raw rate units explicit and do not silently convert them.
  5. Mark incomplete pagination as a sample. Keep IDs available for downstream product, shop, or keyword research.
  6. Preserve null, missing fields, and upstream extensions rather than inventing values.

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 5 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Geekbi Temu Market Research loads about 2.8k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 1,132 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.8k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 1,132 words, ~2,800 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-geekbi-temu-market-research/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
linkfox-geekbi-temu-market-research
description
使用 GeekBI 分析 Temu 公开市场的类目机会与搜索关键词需求,支持按蓝海指数、累计销量、累计销售额、价格、商品数和店铺数筛选,并分析日/周/月趋势。当用户提到 Temu 类目市场、类目机会、搜索词、蓝海词、需求趋势、Temu category research、keyword research 或 demand research 时触发。仅查询 Temu 类目 ID、catId 或类目树时使用 linkfox-temu-category-search。本 skill 不用于商品详情、店铺明细或评论分析。

Temu Category & Keyword Demand Research

This skill researches Temu category opportunities and buyer-demand keywords from public marketplace data. Use only the endpoints needed for the user's request, and read references/api.md for the full request and response contract.

The site-list and category-list endpoints are helper capabilities. A helper-only request must not auto-select this skill unless the user explicitly invokes it or the skill is already active.

Core Concepts

  • regionId selects the marketplace. Resolve it from a non-null positive sites[].regionId; never substitute siteId. The gateway default is regionId: 211 (United States).
  • dsr is a supply-demand signal, not a standalone go/no-go score. Cross-check demand scale, recent growth, item/shop supply, and price.
  • Search responses are paginated items[]. Defaults are page: 1 and size: 20; size is 1–200 and page * size must not exceed 10,000. order has no gateway default; when supplied, it must be asc or desc (case-insensitive).
  • Range filters are limited to dsr, totalSold, avgPrice, totalSales, itemCount, and mallCount, each with Min / Max. Never make a minimum greater than its maximum; all except dsr must be non-negative.
  • Use site/category helpers only when the user has not supplied a valid ID. Stop if no unambiguous ID is returned.
  • Do not launch a paid search merely to answer a site-list or category-tree request.
IntentEndpointScript
Compare category demand and competition/geekbi/temu/categorySearchgeekbi_temu_category_search.py
Discover and compare buyer-demand keywords/geekbi/temu/keywordSearchgeekbi_temu_keyword_search.py
Resolve Temu marketplaces/geekbi/temu/siteListgeekbi_temu_site_list.py
Browse the category tree/geekbi/temu/categoryListgeekbi_temu_category_list.py

Endpoint: /geekbi/temu/categorySearch

Request
  • Category research uses keyword to compare market capacity and competition. Use the separate category-list helper with parentCatId when a trusted category tree must be traversed; categorySearch itself does not accept catLevel or parentCatId.
  • Use keyword for a Chinese or English category name. catLevel and parentCatId are response/helper concepts, not categorySearch request fields.
  • Filter or rank broad demand with totalSold; use dsr for candidate discovery. Treat monthSoldRate and monthSalesRate as response fields for recent-growth analysis, not as range-filter request fields.
  • itemCount and mallCount can be filtered with Min/Max fields. Period *ItemCount and *MallCount values are response-only changes and can be negative.
bash
# Compare US pet-related categories by cumulative demand
python scripts/geekbi_temu_category_search.py '{"regionId":211,"keyword":"宠物","totalSoldMin":1000,"sort":"totalSold","order":"desc","page":1,"size":20}'
Response
PathMeaning
items[].catId / items[].parentCatItems[]Category identity and verified hierarchy
items[].totalSold / totalSales / avgPriceCumulative demand, revenue, and average price
items[].itemCount / mallCountProduct and shop supply
items[].semiManagedItemCount / semiManagedMallCountSemi-managed supply counts
items[].day* / week* / month*Period demand, supply changes, and growth rates
errcode / errmsgGateway business status; verified success is 200 / ok

Endpoint: /geekbi/temu/keywordSearch

Request
  • Keyword research uses keyword for a specific phrase or catIds for category-led discovery. Combine them only when the user explicitly wants a phrase within a category.
  • Resolve catIds from valid categories[].catId values or a verified category-search result. Prefer level-1 or level-2 IDs for broad discovery.
  • Search a supplied phrase with keyword without silently translating or replacing it.
  • For category-led discovery, use catIds from the category helper. Multiple IDs match any supplied category.
  • Rank hot terms with totalSold and blue-ocean candidates with dsr. Analyze recent demand from returned monthSoldRate or monthSalesRate; these period metrics are not range-filter request fields. Use firstOnSaleTimeMin/Max for market recency.
  • firstOnSaleTimeMin/Max use ISO-8601 timestamps and describe the earliest associated product listing time.
bash
# Discover dress-related demand terms within a verified category
python scripts/geekbi_temu_keyword_search.py '{"regionId":211,"keyword":"dress","catIds":[27011],"totalSoldMin":1000,"sort":"totalSold","order":"desc","page":1,"size":20}'
Response
PathMeaning
items[].keyword / items[].cnKeywordSearch phrase and optional Chinese form
items[].catIds / items[].catItems[]Categories associated with a keyword
items[].totalSold / totalSales / avgPriceCumulative demand, revenue, and average price
items[].itemCount / mallCountProduct and shop supply
items[].semiManagedItemCount / semiManagedMallCountSemi-managed supply counts
items[].day* / week* / month*Period demand, supply changes, and growth rates
items[].firstOnSaleTimeEarliest associated product listing time; not keyword creation time
errcode / errmsgGateway business status; verified success is 200 / ok

Endpoint: /geekbi/temu/siteList

Request
bash
# Resolve a non-US marketplace; use regionId, not siteId
python scripts/geekbi_temu_site_list.py '{}'
Response
PathMeaning
sites[].regionIdIDs accepted by the research endpoints
errcode / errmsgGateway business status; verified success is 200 / ok

Endpoint: /geekbi/temu/categoryList

Request
bash
# Resolve a trusted category path when only a category name is known
python scripts/geekbi_temu_category_list.py '{}'
python scripts/geekbi_temu_category_list.py '{"parentCatId":27011}'
Response
PathMeaning
categories[].catIdIDs accepted by the research endpoints
errcode / errmsgGateway business status; verified success is 200 / ok

Fields can be absent or null. Preserve runtime JSON types and raw rate values; do not replace missing values with zero.

调用方式

  • API 端点:POST /geekbi/temu/categorySearch、POST /geekbi/temu/keywordSearch、POST /geekbi/temu/siteList 或 POST /geekbi/temu/categoryList(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/geekbi_temu_category_search.py '<JSON 参数>' [--inline]、python scripts/geekbi_temu_keyword_search.py '<JSON 参数>' [--inline]、python scripts/geekbi_temu_site_list.py '{}' [--inline] 或 python scripts/geekbi_temu_category_list.py '<JSON 参数>' [--inline]
  • 成本约束:类目搜索和关键词搜索各消耗 15 算力/次,站点列表和品类列表不消耗算力;同一端点同一参数组合使用 24h 本地缓存,同一会话默认只调用一次。--inline 不绕过缓存;--no-cache 会跳过缓存读写并强制真实请求,付费端点可能再次扣算力,免费辅助端点仅强制刷新。失败、空结果或瞬时错误不得自动重试,也不得自动换关键词、翻页、改站点或筛选条件连续试探;需要继续付费检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-geekbi-temu-market-research-<timestamp>.json;<cwd> 为脚本执行时的当前工作目录,<session> 取自环境变量 SESSION_ID,未设置时自动生成。当前目录不可写时直接报错,不回退到用户目录或系统临时目录。
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层状态字段、常见业务计数、忽略 columns 后最大业务列表的长度 + 前 3 条样本)
  • 加 --inline 强制全量打印到 stdout(同样落盘)

读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

Show full SKILL.md (422 more words)Show less

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置 API Key:环境变量未配置 LINKFOX_AGENT_API_KEY 或兼容键 LINKFOXAGENT_API_KEY。
  • 响应 401 或 402 状态码。
  • 响应提示算力或余额不足:消息含“算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值”或类似含义。

Display Rules

  1. State marketplace name, regionId, currency, filters, sort, page, and page size.
  2. For categories, show the full category path, catId, level, demand/revenue, average price, item/shop supply, semi-managed supply, and relevant growth fields.
  3. For keywords, show the phrase, associated category path/IDs, demand/revenue, average price, item/shop supply, semi-managed supply, earliest listing time, and relevant growth fields.
  4. Label monetary values with the selected site's currency. Keep raw rate units explicit and do not silently convert them.
  5. Mark incomplete pagination as a sample. Keep IDs available for downstream product, shop, or keyword research.
  6. Preserve null, missing fields, and upstream extensions rather than inventing values.

Important Limitations

  • This skill researches public Temu market data; it does not access or operate a seller account.
  • total can be capped at 10,000. A partial page or uncompleted pagination is not the entire marketplace.
  • dsr, growth, sales, or supply alone cannot prove an opportunity or predict future performance.
  • firstOnSaleTime is the earliest associated product listing time, not keyword creation time.
  • The category tree can require several parentCatId calls; do not guess intermediate IDs.
  • Do not automatically call helpers when valid IDs are already available.
  • Do not retry paid endpoints with changed filters or another page after empty results without user confirmation.

User Expression & Scenario Quick Reference

Applicable: “查 Temu 美国站宠物类目机会”, “找月需求增长的蓝海类目”, “挖 Temu 连衣裙热搜词”, “比较关键词供需和价格带”, “Temu category/keyword demand research”.

Adjacent: Resolve an unknown non-US marketplace before research. For category-led keyword discovery, resolve a trusted catId from the category tree or a verified category result.

Not an automatic trigger: A request solely to enumerate Temu sites, regionId values, category-tree nodes, or catId values does not auto-trigger this skill. Route category-tree/catId-only requests to linkfox-temu-category-search. If this GeekBI skill was explicitly invoked or is already active, its site/category helpers may be called independently.

Not applicable: Temu product detail, shop-only benchmarking, review analysis, seller-center operations, listing changes, fulfillment, advertising, or research on another marketplace.

算力消耗规则

类目搜索和关键词搜索每次各消耗 15 算力;站点列表和品类列表不消耗算力。

用户会为类目搜索和关键词搜索支付算力。高频调用、翻页或改条件重搜前,必须让用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

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, visit 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

Files

SKILL.md and 7 other files (scripts, references) in skills/linkfox-geekbi-temu-market-research of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/geekbi_temu_category_list.py
  • scripts/geekbi_temu_category_search.py
  • scripts/geekbi_temu_keyword_search.py
  • scripts/geekbi_temu_site_list.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Compare with similar skills

Linkfox Geekbi Temu Market Research 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.

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    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Linkfox Amazon Reviews List

    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

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Questions about Linkfox Geekbi Temu Market Research

What does Linkfox Geekbi Temu Market Research do?

使用 GeekBI 分析 Temu 公开市场的类目机会与搜索关键词需求,支持按蓝海指数、累计销量、累计销售额、价格、商品数和店铺数筛选,并分析日/周/月趋势。当用户提到 Temu 类目市场、类目机会、搜索词、蓝海词、需求趋势、Temu category research、keyword research 或 demand research 时触发。仅查询 Temu 类目 ID、catId…. Linkfox Geekbi Temu Market Research is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Geekbi Temu Market Research?

Linkfox Geekbi Temu Market Research fits situations like: tasks that involve Market research; tasks that involve Keyword research.

How do I install Linkfox Geekbi Temu Market Research in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-market-research -a claude-code`. Or copy the skill folder (skills/linkfox-geekbi-temu-market-research in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-geekbi-temu-market-research in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Geekbi Temu Market Research in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-market-research -a codex`. Or copy the skill folder (skills/linkfox-geekbi-temu-market-research in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-geekbi-temu-market-research in your project. Codex loads it when a task matches its description.

Can I use Linkfox Geekbi Temu Market Research in Cursor, Gemini CLI or GitHub Copilot?

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-geekbi-temu-market-research -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-geekbi-temu-market-research, .gemini/skills/linkfox-geekbi-temu-market-research, .github/skills/linkfox-geekbi-temu-market-research and .opencode/skills/linkfox-geekbi-temu-market-research in your project.

What does Linkfox Geekbi Temu Market Research need to run?

Going by SKILL.md and its folder, Linkfox Geekbi Temu Market Research needs Python for the scripts in its folder, the command-line tools its instructions call (python) 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.

Does Linkfox Geekbi Temu Market Research access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Geekbi Temu Market Research safe to install?

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.

What licence does Linkfox Geekbi Temu Market Research use?

Linkfox Geekbi Temu Market Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Geekbi Temu Market Research use?

About 2.8k tokens (SKILL.md is roughly 11k 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 4k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Geekbi Temu Market Research?

Skills that share tags, products or a category with Linkfox Geekbi Temu Market Research: Sellersprite Amazon Research (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars), SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), Evaluate Skill (every-app/open-seo, 23k stars) and SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Geekbi Temu Market Research?

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.