1688 Shopkeeper
next-1688/1688-shopkeeper
1688选品铺货 + 商机趋势专家。用于:(1) 在1688搜索商品/选品找货源 (2) 查询已绑定的下游店铺 (3) 将商品铺货到抖音/拼多多/小红书/淘宝等平台 (4) 配置1688 AK密钥 (5) 查看即时商机热榜 (6) 查看类目/行业趋势与价格分布 (7) 生成店铺经营日报并输出主营商品选品建议。
基于商品图片在 Temu 公开市场检索视觉相似或同款商品,返回商品、销量、价格、评价、库存、供货价、店铺与品类数据。当用户明确提出 Temu 以图搜图、Temu 图搜同款、reverse image search on Temu、Temu visual product search,或提供图片/图片 URL 并明确希望在 Temu 查找相似商品时触发。未指定 Temu…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-search-by-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-geekbi-temu-search-by-image --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-geekbi-temu-search-by-image .claude/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .claude/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-imageType 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-geekbi-temu-search-by-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-geekbi-temu-search-by-image --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-geekbi-temu-search-by-image .agents/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .agents/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-geekbi-temu-search-by-image --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-geekbi-temu-search-by-image .cursor/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .cursor/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-image--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-geekbi-temu-search-by-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-geekbi-temu-search-by-image --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-geekbi-temu-search-by-image .gemini/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .gemini/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-imageInstalls 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-geekbi-temu-search-by-image -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-geekbi-temu-search-by-image .github/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .github/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-image -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-geekbi-temu-search-by-image --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-geekbi-temu-search-by-image .opencode/skills/linkfox-geekbi-temu-search-by-image && 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-geekbi-temu-search-by-image" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-geekbi-temu-search-by-image into .opencode/skills/linkfox-geekbi-temu-search-by-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-geekbi-temu-search-by-image", 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-geekbi-temu-search-by-image基于商品图片在 Temu 公开市场检索视觉相似或同款商品,返回商品、销量、价格、评价、库存、供货价、店铺与品类数据。当用户明确提出 Temu 以图搜图、Temu 图搜同款、reverse image search on Temu、Temu visual product search,或提供图片/图片 URL 并明确希望在 Temu 查找相似商品时触发。未指定 Temu…
Linkfox Geekbi Temu Search By Image is an agent skill from linkfox-ai/linkfox-skills. 基于商品图片在 Temu 公开市场检索视觉相似或同款商品,返回商品、销量、价格、评价、库存、供货价、店铺与品类数据。当用户明确提出 Temu 以图搜图、Temu 图搜同款、reverse image search on Temu、Temu visual product search,或提供图片/图片 URL 并明确希望在 Temu 查找相似商品时触发。未指定 Temu 的泛化图片找货请求不自动触发。本 skill 不用于跨平台找 1688 货源、图片识别或编辑、商品详情历史查询、关键词商品搜索。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/geekbi_temu_goods_image_search.py`).
It works with 1688. The licence is MIT.
6 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonjqFrom 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 Geekbi Temu Search By Image loads about 2.1k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 942 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). 942 words, ~2,105 tokens.
.claude/skills/linkfox-geekbi-temu-search-by-image/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Find visually similar or matching products in Temu's public marketplace from one product image. Use the returned product, sales, pricing, review, inventory, shop, and category fields for visual competitor discovery and product research.
scripts/upload_image.py. For an external image URL, download it locally first, then upload it through the same helper.items list plus rendering metadata in columns. Result count depends on the source image: live tests have returned both 100 rows and a successful empty result, so never assume a fixed or non-zero count.goodsId, garbled, or internally inconsistent; preserve the source values and disclose material quality issues.| Group | Fields |
|---|---|
| Identity | goodsId, mallId, goodsName, goodsNameCn, goodsNameEn, brand, thumbnail |
| Category | catIds, catItems |
| Demand | sold, mallSold, daySold, weekSold, monthSold, corresponding *SoldRate fields |
| Revenue | sales, daySales, weekSales, monthSales, corresponding *SalesRate fields |
| Price and supply | minPrice, maxPrice, supplyPrice, minSupplyPrice, medianSupplyPrice, maxSupplyPrice |
| Quality and stock | goodsScore, reviewNum, quantity, sku |
| Status and timing | hostingMode, status, isAd, isCustom, isPresale, similarNum, onSaleTime, mallOpenTime, createTime, updateTime |
| Parameter | Required | Description |
|---|---|---|
imageUrl | Yes | LinkFox OSS image URL returned by scripts/upload_image.py; maximum 2048 characters; an arbitrary external URL is rejected |
contentType | No | Image MIME type, maximum 100 characters; only image/jpeg, image/png, image/gif, image/webp, or image/bmp; when supplied, it must match both the OSS response type and the actual image bytes |
Do not add pagination, sorting, filtering, region, Base64, or keyword fields: they are not part of this endpoint's verified request contract. The downloaded image must be JPEG, PNG, GIF, WebP, or BMP and no larger than 10 MB.
POST /geekbi/temu/goodsImageSearch(完整参数/响应/错误码见 references/api.md)python scripts/geekbi_temu_goods_image_search.py '<JSON 参数>' [--inline]--inline 不绕过缓存;--no-cache 会跳过缓存读写并强制真实请求,可能再次消耗 150 算力。失败、空结果或瞬时错误不得自动重试,也不得自动换图片连续试探;需要再次付费搜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):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-geekbi-temu-search-by-image-<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。columns 后最大业务列表的长度 + 前 3 条样本)--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。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY 或兼容键 LINKFOXAGENT_API_KEY。This endpoint requires an image hosted on LinkFox OSS. When the user provides a local file or an external image URL, obtain a local image file and run:
python scripts/upload_image.py /path/to/product.jpgThe helper requests a presigned PUT URL from ${LINKFOX_TOOL_GATEWAY}/oss/file/presignedPut, uploads a JPG/JPEG, PNG, GIF, WebP, or BMP image to that URL, removes the private query string, and prints JSON containing url and contentType. It uses only the Python standard library. Never print the presigned query string or the API key.
# Upload once and capture the returned LinkFox OSS URL and MIME type
LINKFOX_UPLOAD_RESULT="$(python scripts/upload_image.py ./product.jpg)"
LINKFOX_OSS_URL="$(printf '%s' "${LINKFOX_UPLOAD_RESULT}" | jq -r '.url')"
LINKFOX_CONTENT_TYPE="$(printf '%s' "${LINKFOX_UPLOAD_RESULT}" | jq -r '.contentType')"
# Search Temu with exactly that URL and its MIME type
python scripts/geekbi_temu_goods_image_search.py "{\"imageUrl\":\"${LINKFOX_OSS_URL}\",\"contentType\":\"${LINKFOX_CONTENT_TYPE}\"}"User requests include “用这张图找 Temu 同款”, “找外观相似的 Temu 竞品”, and “search Temu products by this image”.
thumbnail images inline when the client supports images.minPrice and maxPrice as marketplace-local currency values; do not invent a currency when the response does not identify it. Supply-price fields are CNY only when the API reference explicitly says so.goodsNameEn when Chinese title fields are visibly garbled. Do not invent a repaired translation.goodsId rows or repair contradictory values. Explain the issue, or group rows only when the user asks and state the grouping rule.columns as rendering metadata; do not include all column definitions unless the user asks for schema details.imageUrl is accepted. Direct Amazon, CDN, data URI, Base64, or arbitrary public URLs are rejected. The image must be JPEG, PNG, GIF, WebP, or BMP and no larger than 10 MB.sku may be a JSON-encoded string rather than a parsed array; parse it only when needed and handle malformed content safely.linkfox-geekbi-temu-product when the user explicitly needs details or history for a returned goodsId.Applicable -- visual discovery on Temu:
| User Says | Scenario |
|---|---|
| “用这张图片找 Temu 同款” | Find matching products |
| “看看 Temu 上有没有外观相似竞品” | Visual competitor discovery |
| “不用关键词,按图片选品” | Image-led product research |
| “reverse image search this on Temu” | Visual product search |
Not applicable -- route elsewhere:
linkfox-temu-product-query.linkfox-geekbi-temu-product.linkfox-1688-search-by-image.Boundary judgment: If the user provides an image and wants visually similar products specifically on Temu, use this skill. For text filters use linkfox-temu-product-query; for detailed records or history of known product IDs use linkfox-geekbi-temu-product.
以图搜索每次消耗 150 算力。
用户会因算力消耗而支付费用。需要重复搜索其他图片时,必须先说明会产生额外消耗并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, 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
SKILL.md and 5 other files (scripts, references) in skills/linkfox-geekbi-temu-search-by-image of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Geekbi Temu Search By Image 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 Geekbi Temu Search By Image this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.1k | Automated safety check: Pass | MIT | |
| 1688 Shopkeepernext-1688/1688-shopkeeper | 2.2k | — | ~940 | Automated safety check: Pass | None | |
| 1688 Item Selectionnext-1688/1688-item-select | 629 | — | ~1.8k | Automated safety check: Pass | None | |
| 1688 Source Suppliersnext-1688/1688-source-suppliers | 556 | — | ~661 | Automated safety check: Pass | None | |
| 1688 Buyer Opportunity Trackernext-1688/1688-customer-opportunity | 553 | — | ~4.6k | Automated safety check: Pass | None | |
| 1688 Finance Taxnext-1688/1688-finance-tax | 683 | — | ~729 | Automated safety check: Pass | None |
next-1688/1688-shopkeeper
1688选品铺货 + 商机趋势专家。用于:(1) 在1688搜索商品/选品找货源 (2) 查询已绑定的下游店铺 (3) 将商品铺货到抖音/拼多多/小红书/淘宝等平台 (4) 配置1688 AK密钥 (5) 查看即时商机热榜 (6) 查看类目/行业趋势与价格分布 (7) 生成店铺经营日报并输出主营商品选品建议。
next-1688/1688-item-select
1688 商家重点品圈选 —— 基于多维度商品评分智能识别值得重点运营的商品或搜索商品. An agent skill from next-1688/1688-item-select.
next-1688/1688-source-suppliers
1688找供应商 —— 结合用户需求与关键字查询对应的供应商及工厂信息 核心工具能力:1688供应商查询能力。用于查询1688平台上的供应商及工厂信息。
next-1688/1688-customer-opportunity
Finds high-value repeat buyer clusters on 1688, shows their details, launches outreach messaging and surfaces which buyers most need a follow-up.
next-1688/1688-finance-tax
财税税负测算专家技能。帮助用户计算商品含税定价、评估整体税负。支持增值税测算、四税联算(增值税+附加税+印花税+所得税)、整体税负分析等场景。用户提到税务、税率、含税定价、税负、增值税、所得税、发票、纳税人等测算问题时使用。
next-1688/1688-common-html-report-generator
将文本数据报告快速转换为交互式可视化HTML网页。使用 Python 代码驱动预置模板,只需编写数据配置即可自动生成专业数据看板。适用于市场分析报告、运营数据复盘、行业调研报告、销售数据汇总等场景。触发词:生成HTML报告、生成网页报告、转成可视化网页、做成数据看板、数据可视化、生成HTML看板。
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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…
Works with
基于商品图片在 Temu 公开市场检索视觉相似或同款商品,返回商品、销量、价格、评价、库存、供货价、店铺与品类数据。当用户明确提出 Temu 以图搜图、Temu 图搜同款、reverse image search on Temu、Temu visual product search,或提供图片/图片 URL 并明确希望在 Temu 查找相似商品时触发。未指定 Temu…. Linkfox Geekbi Temu Search By Image is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-search-by-image -a claude-code`. Or copy the skill folder (skills/linkfox-geekbi-temu-search-by-image in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-geekbi-temu-search-by-image in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-geekbi-temu-search-by-image -a codex`. Or copy the skill folder (skills/linkfox-geekbi-temu-search-by-image in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-geekbi-temu-search-by-image 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-geekbi-temu-search-by-image -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-search-by-image, .gemini/skills/linkfox-geekbi-temu-search-by-image, .github/skills/linkfox-geekbi-temu-search-by-image and .opencode/skills/linkfox-geekbi-temu-search-by-image in your project.
Going by SKILL.md and its folder, Linkfox Geekbi Temu Search By Image needs Python for the scripts in its folder, the command-line tools its instructions call (python and jq) 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 Geekbi Temu Search By Image is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k 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 2.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Geekbi Temu Search By Image: 1688 Shopkeeper (next-1688/1688-shopkeeper, 2.2k stars), 1688 Item Selection (next-1688/1688-item-select, 629 stars), 1688 Source Suppliers (next-1688/1688-source-suppliers, 556 stars) and 1688 Buyer Opportunity Tracker (next-1688/1688-customer-opportunity, 553 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.