Agent skill

Linkfox Kalodata Tiktok Shop

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

通过kalodata数据搜索TikTok电商店铺排行榜并查询指定店铺的详细信息,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok Shop店铺(小店),并可用shopId获取销售额、销量、在售商品数、自营/分销/商城渠道收入及达人合作数。当用户提到TikTok店铺榜单、TikTok店铺排行、TikTok小店排行、TikTok热销店铺、TikTok店铺排名、TikTok…

MITAuto-check passed

Install Linkfox Kalodata Tiktok Shop

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-shop -a claude-code

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

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-shop --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-kalodata-tiktok-shop .claude/skills/linkfox-kalodata-tiktok-shop && 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-kalodata-tiktok-shop
GitHub stars
107
Token cost
~2.6k tokens
SKILL.md length
1,111 words
Files
6 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

通过kalodata数据搜索TikTok电商店铺排行榜并查询指定店铺的详细信息,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok Shop店铺(小店),并可用shopId获取销售额、销量、在售商品数、自营/分销/商城渠道收入及达人合作数。当用户提到TikTok店铺榜单、TikTok店铺排行、TikTok小店排行、TikTok热销店铺、TikTok店铺排名、TikTok…

  • Works in 2 steps: Browse TikTok Shop store (店铺)… → Fetch one store's full detail by shopId.
  • SKILL.md covers Core Concepts, Data Fields, Parameter Guide and 调用方式, plus 6 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Kalodata Tiktok Shop is an agent skill from linkfox-ai/linkfox-skills. 通过kalodata数据搜索TikTok电商店铺排行榜并查询指定店铺的详细信息,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok Shop店铺(小店),并可用shopId获取销售额、销量、在售商品数、自营/分销/商城渠道收入及达人合作数。当用户提到TikTok店铺榜单、TikTok店铺排行、TikTok小店排行、TikTok热销店铺、TikTok店铺排名、TikTok Shop店铺榜、kalodata店铺搜索、kalodata店铺榜、TikTok店铺详情、TikTok小店资料、店铺销售额、店铺销量、TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail时触发此技能。即使用户未明确提及"kalodata",只要其需求涉及查看TikTok平台的店铺排行榜或某个TikTok店铺的详细数据,也应触发此技能。

Its SKILL.md is about 2.6k 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/kalodata_shop_detail.py`).

It works with TikTok. The licence is MIT.

Example prompts

  • “kalodata”
  • “/linkfox-kalodata-tiktok-shop”

Requirements

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

Workflow steps

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

  1. Browse TikTok Shop store (店铺) leaderboards to discover high-performing stores.
  2. Fetch one store's full detail by shopId.

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 3 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 Kalodata Tiktok Shop loads about 2.6k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 1,111 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.9k

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). 1,111 words, ~2,633 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-kalodata-tiktok-shop/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
linkfox-kalodata-tiktok-shop
description
通过kalodata数据搜索TikTok电商店铺排行榜并查询指定店铺的详细信息,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok Shop店铺(小店),并可用shopId获取销售额、销量、在售商品数、自营/分销/商城渠道收入及达人合作数。当用户提到TikTok店铺榜单、TikTok店铺排行、TikTok小店排行、TikTok热销店铺、TikTok店铺排名、TikTok Shop店铺榜、kalodata店铺搜索、kalodata店铺榜、TikTok店铺详情、TikTok小店资料、店铺销售额、店铺销量、TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail时触发此技能。即使用户未明确提及"kalodata",只要其需求涉及查看TikTok平台的店铺排行榜或某个TikTok店铺的详细数据,也应触发此技能。

Kalodata - TikTok Shop Search & Detail

This skill supports a two-step TikTok shop workflow via the Kalodata data source:

  1. Browse TikTok Shop store (店铺) leaderboards to discover high-performing stores.
  2. Fetch one store's full detail by shopId.

Use the search (ranking) endpoint when the user wants rankings, store discovery, or store comparison. Use the detail endpoint when the user already has a shopId or has selected one store from a ranking result.

Core Concepts

The shop ranking endpoint returns a paginated leaderboard filtered by region, dateRange, language, and currency. The default ranking order is by revenue (GMV) descending, and each row carries an explicit rank position. Each shop row includes identity, scale, revenue channel split, and growth.

The shop detail endpoint fetches one store by shopId. It returns the store's identity, scale, revenue channel split, and creator/video/live counts. The shopId usually comes from the ranking response field shop_id.

⚠️ Field names differ between the shop RANK and shop DETAIL endpoints. Detail uses self_account_revenue (rank uses self_promotion_revenue), shoppingmall_revenue with no internal underscore (rank uses shopping_mall_revenue), and seller_type (rank uses shop_type). Detail returns creator_number/video_number/live_number/product_number (rank does not), and does not return rank/revenue_growth_rate/on_sell_product_count. Always use the exact endpoint field names.

Both endpoints may reflect a statistical delay (T+1). See references/api.md for full request and response details.

Data Fields

Ranking rows include:

FieldDescription
rankRank position (1 = top by revenue)
shop_nameShop display name
shop_idShop unique ID; pass this as shopId for detail lookup
shop_typeShop type (e.g. BRAND)
revenueTotal GMV in the requested currency
sales_volumnSales volume; field is spelled volumn
on_sell_product_countNumber of products currently on sale
unit_priceAverage unit price in the requested currency
revenue_growth_rateRevenue growth rate (%), can be negative
self_promotion_revenueRevenue from self-promotion (店铺自营/自播自推)
affiliate_revenueRevenue from affiliate (达人分销)
shopping_mall_revenueRevenue from the shopping mall (商城)

Detail rows include:

FieldDescription
shop_idShop unique ID (string to preserve precision)
shop_nameShop display name
seller_typeSeller/shop type (e.g. BRAND) — note: seller_type, not shop_type
regionMarket region (e.g. US)
revenueTotal revenue / GMV in the requested currency
sales_volumnSales volume; field is spelled volumn
product_numberNumber of products on sale
unit_priceAverage unit price in the requested currency
self_account_revenueRevenue from self-account (店铺自营/自播自推) — note: self_account_revenue, not self_promotion_revenue
affiliate_revenueRevenue from affiliate (达人分销)
shoppingmall_revenueRevenue from the shopping mall (商城) — note: NO underscore between shopping and mall
creator_numberNumber of creators cooperating with the shop (达人合作数)
video_numberNumber of related videos
live_numberNumber of related livestreams

Revenue channel split: on the rank endpoint revenue = self_promotion_revenue + affiliate_revenue + shopping_mall_revenue; on the detail endpoint revenue ≈ self_account_revenue + affiliate_revenue + shoppingmall_revenue. Components may round independently of revenue (e.g. shoppingmall_revenue returns 10431.0 on detail vs 10431.39 on rank), so treat the split as approximate, not an exact equality.

Parameter Guide

Shop ranking (/kalodata/shop/rank)

ParameterTypeRequiredDescription
regionstringNoMarket region code, e.g. US
dateRangestringNoTime window, e.g. last7Day, last30Day
pageNumberintegerNoPage number, 1-5
pageSizeintegerNoPage size, 5-100
languagestringNoResponse language, e.g. zh-CN, en-US
currencystringNoCurrency for monetary metrics, e.g. USD
category_idsarray<string>NoCategory ID list filter
revenue_rangestringNoRevenue / GMV range filter
shop_typestringNoShop type filter: BRAND or RETAILER
sortFieldobjectNoSorting specification; pass {} for default revenue ranking

Shop detail (/kalodata/shop/detail)

ParameterTypeRequiredDescription
shopIdstringYesShop unique ID from ranking field shop_id
category_idstringNoOptional category ID dimension
regionstringNoMarket region code, e.g. US
dateRangestringNoTime window, e.g. last7Day, last30Day
languagestringNoResponse language, e.g. zh-CN, en-US
currencystringNoCurrency for monetary metrics, e.g. USD

调用方式

  • API 端点:POST /kalodata/shop/rank 或 POST /kalodata/shop/detail(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/kalodata_shop_search.py '<JSON 参数>' [--inline] 或 python scripts/kalodata_shop_detail.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续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-kalodata-tiktok-shop-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)
  • 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(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 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。

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,也未配置 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",或类似含义的内容。
Show full SKILL.md (442 more words)Show less

Usage Examples

1. Top TikTok shops in the US over the last 7 days

json
{"region":"US","dateRange":"last7Day","pageSize":10,"pageNumber":1}

2. Fetch one shop's detail

json
{"shopId":"7495514739648989419","region":"US","dateRange":"last7Day","currency":"USD"}

3. Discovery-to-detail workflow

text
Run kalodata_shop_search.py first, choose a row's shop_id, then pass that value as shopId to kalodata_shop_detail.py.

Display Rules

  1. Present ranking results in a table with rank, shop name, shop type, revenue, sales volume, product count, unit price, and growth rate.
  2. Present detail results as one grouped profile: identity, scale, revenue channel split, and creator/video/live counts.
  3. Always label dateRange, region, and currency when showing metrics.
  4. Revenue channel breakdown is approximate (see Data Fields note); present the split as a breakdown, not an exact equality.
  5. Use the exact field name sales_volumn. On detail use shoppingmall_revenue (no underscore) and self_account_revenue; on rank use shopping_mall_revenue and self_promotion_revenue. Do not mix the two endpoints' field names.
  6. Show creator_number, video_number, live_number, product_number as plain integer counts.
  7. Preserve ranking order unless the user explicitly requests a supported sortField.

Important Limitations

  • Ranking is not keyword search; it browses leaderboards by region and time window.
  • Detail requires shopId; it cannot find a shop by name alone. Obtain shopId from the ranking shop_id field or the user.
  • The ranking response does not include total/page count; paginate until a page returns fewer than pageSize items.
  • pageNumber is limited to 1-5 and pageSize is limited to 5-100.
  • Detail has no pagination; data is a 1-element array for a single shop, with no total.
  • Field names differ between the rank and detail endpoints (see Data Fields) — use the exact names when extracting.
  • Transient upstream errors may appear as errcode 501 with a Kalodata HTTP 554 message. Retry the same parameters once or twice; do not change parameters automatically.
  • Use the matching Kalodata product/video/creator/livestream skills for non-shop entities.

User Expression & Scenario Quick Reference

Applicable -- TikTok Shop store ranking or single-store detail:

User SaysScenario
"TikTok店铺排行榜", "TikTok小店排行"Store ranking lookup
"TikTok热销店铺", "top TikTok shops"Store leaderboard by region
"近7天TikTok店铺榜", "美国TikTok店铺排名"Time-windowed / region-filtered ranking
"TikTok店铺详情", "TikTok小店资料"Single-store detail lookup
"店铺销售额", "店铺销量", "店铺达人合作数"Store revenue / sales / creator count
"kalodata shop search/detail"Direct data source reference

Not applicable -- Needs beyond TikTok Shop stores:

  • TikTok creator/product/video/livestream rankings or details
  • Amazon / Shopify / 1688 / other platforms' store data
  • TikTok ad campaign management or content creation

算力消耗规则

每次调用消耗 7.0 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:

  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 5 other files (scripts, references) in skills/linkfox-kalodata-tiktok-shop of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/kalodata_shop_detail.py
  • scripts/kalodata_shop_search.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Compare with similar skills

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Kalodata Tiktok Shop this skilllinkfox-ai/linkfox-skills107—~2.6kAutomated safety check: PassMIT
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Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Last30days CnJesseovo/last30days-skill-cn1.9k—~2.4kAutomated safety check: NotesMIT

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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

Works with

Questions about Linkfox Kalodata Tiktok Shop

What does Linkfox Kalodata Tiktok Shop do?

通过kalodata数据搜索TikTok电商店铺排行榜并查询指定店铺的详细信息,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok Shop店铺(小店),并可用shopId获取销售额、销量、在售商品数、自营/分销/商城渠道收入及达人合作数。当用户提到TikTok店铺榜单、TikTok店铺排行、TikTok小店排行、TikTok热销店铺、TikTok店铺排名、TikTok…. Linkfox Kalodata Tiktok Shop is an agent skill from linkfox-ai/linkfox-skills.

How do I install Linkfox Kalodata Tiktok Shop in Claude Code?

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

How do I install Linkfox Kalodata Tiktok Shop in Codex?

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

Can I use Linkfox Kalodata Tiktok Shop 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-kalodata-tiktok-shop -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-kalodata-tiktok-shop, .gemini/skills/linkfox-kalodata-tiktok-shop, .github/skills/linkfox-kalodata-tiktok-shop and .opencode/skills/linkfox-kalodata-tiktok-shop in your project.

What does Linkfox Kalodata Tiktok Shop need to run?

Going by SKILL.md and its folder, Linkfox Kalodata Tiktok Shop 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 Kalodata Tiktok Shop 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 Kalodata Tiktok Shop 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 Kalodata Tiktok Shop use?

Linkfox Kalodata Tiktok Shop 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 Kalodata Tiktok Shop use?

About 2.6k 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 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Kalodata Tiktok Shop?

Skills that share tags, products or a category with Linkfox Kalodata Tiktok Shop: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Kalodata Tiktok Shop?

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.