Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
通过kalodata数据搜索TikTok电商直播排行榜并查询指定直播的详细数据,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok带货直播,并可用livestreamId获取直播销售额、观看人数、时长、GPM及带货商品数。当用户提到TikTok直播榜单、TikTok直播排行、TikTok带货直播榜、TikTok热销直播、TikTok直播排名、TikTok直播详情、TikTok直播数…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-livestream -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-livestream --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-kalodata-tiktok-livestream .claude/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .claude/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestreamType 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-kalodata-tiktok-livestream -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-livestream --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-kalodata-tiktok-livestream .agents/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .agents/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestream -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-livestream --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-kalodata-tiktok-livestream .cursor/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .cursor/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestream--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-kalodata-tiktok-livestream -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-livestream --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-kalodata-tiktok-livestream .gemini/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .gemini/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestreamInstalls 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-kalodata-tiktok-livestream -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-kalodata-tiktok-livestream .github/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .github/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestream -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-kalodata-tiktok-livestream --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-kalodata-tiktok-livestream .opencode/skills/linkfox-kalodata-tiktok-livestream && 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-kalodata-tiktok-livestream" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-livestream into .opencode/skills/linkfox-kalodata-tiktok-livestream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-livestream", 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-kalodata-tiktok-livestream通过kalodata数据搜索TikTok电商直播排行榜并查询指定直播的详细数据,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok带货直播,并可用livestreamId获取直播销售额、观看人数、时长、GPM及带货商品数。当用户提到TikTok直播榜单、TikTok直播排行、TikTok带货直播榜、TikTok热销直播、TikTok直播排名、TikTok直播详情、TikTok直播数…
Linkfox Kalodata Tiktok Livestream is an agent skill from linkfox-ai/linkfox-skills. 通过kalodata数据搜索TikTok电商直播排行榜并查询指定直播的详细数据,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok带货直播,并可用livestreamId获取直播销售额、观看人数、时长、GPM及带货商品数。当用户提到TikTok直播榜单、TikTok直播排行、TikTok带货直播榜、TikTok热销直播、TikTok直播排名、TikTok直播详情、TikTok直播数据、直播观看人数、kalodata直播搜索、kalodata直播榜、TikTok livestream ranking, TikTok live ranking, TikTok top livestreams, TikTok live shopping ranking, TikTok livestream detail, kalodata livestream search/detail, live analytics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平台的直播排行榜或某个TikTok直播的详细数据,也应触发此技能。
Its SKILL.md is about 3.3k 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_livestream_detail.py`).
It works with TikTok. The licence is MIT.
2 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:
pythonFrom 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 Kalodata Tiktok Livestream loads about 3.3k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 1,453 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). 1,453 words, ~3,284 tokens.
.claude/skills/linkfox-kalodata-tiktok-livestream/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.This skill supports a two-step TikTok livestream workflow via the Kalodata data source:
livestreamId.Use the search (rank) endpoint when the user wants rankings, hot livestreams, or livestream discovery. Use the detail endpoint when the user already has a livestreamId or has selected one livestream from a ranking result.
The livestream ranking endpoint returns a paginated leaderboard filtered by region, dateRange, language, currency, and optional sortField. The default ranking order is by revenue (GMV) descending. Each livestream row includes identity, timing, scale, and creator fields. Results are paginated with pageNumber (1-5) and pageSize (5-100). The response does not include a total count — paginate until a page returns fewer than pageSize items. Money fields (revenue, unit_price) are returned as strings on the ranking endpoint.
The livestream detail endpoint fetches one shoppable TikTok livestream by livestreamId. It returns a 1-element array with the single livestream's full detail (12 fields), including viewers, numeric revenue, gpm, and product_number. There is no pagination and no total. The livestreamId usually comes from the ranking response field livestream_id.
Field names/types differ between the two endpoints: DETAIL uses
viewers(RANK usesviews); DETAILrevenueis a number (RANKrevenueis a string); DETAIL hasgpmand lacksunit_price(RANK hasunit_priceand lacksgpm). Do not assume field names/types carry over between the two endpoints.
Both endpoints may reflect a statistical delay (T+1). See references/api.md for full request and response details.
Ranking rows (each item in data from /kalodata/livestream/rank):
| Field | Type | Description |
|---|---|---|
| livestream_id | string | Livestream unique ID; pass this as livestreamId for detail lookup |
| livestream_title | string | Livestream title |
| creator_id | string | Creator unique ID (string to preserve precision) |
| creator_handle | string | Creator handle / username |
| livestream_start_time | integer | Start time, epoch milliseconds |
| livestream_end_time | integer | End time, epoch milliseconds |
| livestream_duration | integer | Duration in seconds |
| revenue | string | Total revenue / GMV in the requested currency — returned as a string, e.g. "185590.52" |
| unit_price | string | Average unit price in the requested currency — returned as a string, e.g. "265.89" |
| views | integer | Total views (note: RANK uses views) |
| record_type | string | Record type (e.g. SHORT) |
Detail rows (the single item in data from /kalodata/livestream/detail):
| Field | Type | Description |
|---|---|---|
| livestream_id | string | Livestream unique ID (matches the requested livestreamId) |
| livestream_title | string | Livestream title (e.g. 24 HOUR STREAM) |
| creator_id | string | Creator unique ID (string to preserve precision) |
| creator_handle | string | Creator handle / username (e.g. pokepiglt) |
| livestream_start_time | integer | Start time, epoch milliseconds |
| livestream_end_time | integer | End time, epoch milliseconds |
| livestream_duration | integer | Duration in seconds |
| record_type | string | Record type (e.g. SHORT) |
| viewers | integer | Total viewers (note: DETAIL uses viewers, NOT views) |
| revenue | number | Livestream revenue / GMV as a number in the requested currency (e.g. 185590.52) — a number here, a string on the RANK endpoint |
| gpm | number | GMV per mille (revenue per 1,000 impressions) — DETAIL-only, absent from RANK |
| product_number | integer | Number of products sold/promoted during the livestream |
Money fields are strings on RANK, numbers on DETAIL. Parse RANK
revenue/unit_price(float(),Number(), orConvertFrom-Json) before numeric comparison or formatting. Use the exact field name for the endpoint you are reading (viewson RANK,viewerson DETAIL).
Livestream ranking (/kalodata/livestream/rank) — all parameters optional:
| Parameter | Type | Required | Description |
|---|---|---|---|
| region | string | No | Market region code, e.g. US |
| dateRange | string | No | Time window, e.g. last7Day, last30Day |
| pageNumber | integer | No | Page number, 1-5 |
| pageSize | integer | No | Page size, 5-100 |
| language | string | No | Response language, e.g. zh-CN, en-US |
| currency | string | No | Currency for monetary metrics, e.g. USD |
| category_id | string | No | Category ID filter |
| shop_id | string | No | Shop ID filter |
| creator_id | string | No | Creator ID filter |
| product_id | string | No | Product ID filter |
| followers_range | string | No | Creator follower range filter |
| sortField | object | No | Sorting specification; pass {} for the default ranking order |
Livestream detail (/kalodata/livestream/detail):
| Parameter | Type | Required | Description |
|---|---|---|---|
| livestreamId | string | Yes | Target livestream's unique ID (camelCase), e.g. 7661409374878878494. Typically obtained from the ranking field livestream_id |
| region | string | No | Market region code, e.g. US |
| dateRange | string | No | Time window, e.g. last7Day, last30Day |
| language | string | No | Response language, e.g. zh-CN, en-US |
| currency | string | No | Currency for monetary metrics, e.g. USD |
POST /kalodata/livestream/rank(榜单)或 POST /kalodata/livestream/detail(详情)(完整参数/响应/错误码见 references/api.md)python scripts/kalodata_livestream_search.py '<JSON 参数>' [--inline](榜单)或 python scripts/kalodata_livestream_detail.py '<JSON 参数>' [--inline](详情)输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-kalodata-tiktok-livestream-<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)total/costToken、最大列表字段的长度 + 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,也未配置 LINKFOXAGENT_API_KEY。1. Browse top TikTok livestreams in the US
{"region":"US","dateRange":"last7Day","pageSize":10,"pageNumber":1}2. Fetch one livestream's detail
{"livestreamId":"7661409374878878494","region":"US","dateRange":"last7Day"}3. Discovery-to-detail workflow
Run kalodata_livestream_search.py first, choose a row's livestream_id, then pass that value as livestreamId to kalodata_livestream_detail.py.revenue (GMV) descending; there is no explicit rank field — position is implied by order. Preserve it unless the user explicitly requests a supported sortField.currency alongside revenue/unit_price (rank) or revenue/gpm (detail).revenue and unit_price are returned as strings (e.g. "185590.52") — parse them before numeric comparison or formatting. DETAIL revenue is a number. Use the exact field name when extracting with jq / ConvertFrom-Json.views for ranking rows and viewers for detail rows — do not mix them.gpm is GMV per mille (detail-only) — present with appropriate precision (e.g. 903.79), not as a percentage.livestream_start_time/livestream_end_time are epoch milliseconds; livestream_duration is seconds. Format human-readable local times when displaying.dateRange the data covers (e.g. "last 7 days").pageNumber 5).livestreamId: It cannot find a livestream by title alone. Obtain livestreamId from the ranking field livestream_id.pageNumber is limited to 1-5; out of range returns errcode 501, errmsg "page_number 范围为 1-5,当前: <n>". pageSize must be between 5 and 100.total or page-count fields; paginate the ranking until a page returns fewer than pageSize items.viewers (RANK uses views); DETAIL revenue is a number (RANK revenue is a string); DETAIL has gpm and lacks unit_price (RANK has unit_price and lacks gpm). Do not assume field names/types carry over.errcode 501, errmsg "调用 Kalodata 接口失败: Kalodata API HTTP 554: " (a transient upstream Kalodata error). Retry the same parameters once or twice; do not change parameters.sortField is not accepted by the gateway, do NOT attempt workarounds — inform the user and fall back to the default ranking order.Applicable -- TikTok livestream ranking or livestream detail lookup:
| User Says | Scenario |
|---|---|
| "TikTok直播排行榜", "TikTok直播排行" | Livestream ranking lookup |
| "TikTok热销直播", "top TikTok livestreams" | Livestream leaderboard by region |
| "近7天TikTok直播榜", "美国TikTok直播排名" | Time-windowed / region-filtered ranking |
| "Kalodata直播榜" | Direct data source reference |
| "TikTok直播详情", "TikTok直播数据" | Single livestream detail lookup |
| "这场直播的观看人数", "这场直播卖了多少钱" | Viewers / revenue / GPM for a specific livestream |
| "TikTok livestream detail", "kalodata livestream search/detail" | Direct detail/rank fetch |
Not applicable -- Needs beyond TikTok livestreams:
livestreamId (first obtain the ID via the ranking endpoint)Boundary judgment: When users say "直播榜" or "直播排行" in a TikTok Shop / TikTok e-commerce context, use the ranking endpoint. When they ask about a specific livestream's detailed metrics (revenue, viewers, duration, GPM) and a livestreamId is available (or can be obtained from the ranking), use the detail endpoint.
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:
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-kalodata-tiktok-livestream of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Kalodata Tiktok Livestream 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 Kalodata Tiktok Livestream this skilllinkfox-ai/linkfox-skills | 107 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
freekmurze/dotfiles
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
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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…
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通过kalodata数据搜索TikTok电商直播排行榜并查询指定直播的详细数据,支持按地区、货币、语言与日期范围查看高排名、高销量的TikTok带货直播,并可用livestreamId获取直播销售额、观看人数、时长、GPM及带货商品数。当用户提到TikTok直播榜单、TikTok直播排行、TikTok带货直播榜、TikTok热销直播、TikTok直播排名、TikTok直播详情、TikTok直播数…. Linkfox Kalodata Tiktok Livestream is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-livestream -a claude-code`. Or copy the skill folder (skills/linkfox-kalodata-tiktok-livestream in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-kalodata-tiktok-livestream in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-livestream -a codex`. Or copy the skill folder (skills/linkfox-kalodata-tiktok-livestream in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-kalodata-tiktok-livestream 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-kalodata-tiktok-livestream -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-livestream, .gemini/skills/linkfox-kalodata-tiktok-livestream, .github/skills/linkfox-kalodata-tiktok-livestream and .opencode/skills/linkfox-kalodata-tiktok-livestream in your project.
Going by SKILL.md and its folder, Linkfox Kalodata Tiktok Livestream 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.
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 Kalodata Tiktok Livestream is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k 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 3.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Kalodata Tiktok Livestream: 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.
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.