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.
使用出海匠（Chuhaijiang）研究 TikTok 公开视频，支持多条件视频搜索、单视频详情、带货商品和评论钻取。用户点名出海匠或 Chuhaijiang 时触发；未指定数据源时，仅在需要视频评论或视频到带货商品的关系钻取时触发。通用 TikTok 带货视频榜单或详情使用 linkfox-kalodata-tiktok-video，视频上传发布使用…
MITAuto-check passed
Install Linkfox Chuhaijiang Tiktok Video
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-chuhaijiang-tiktok-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-chuhaijiang-tiktok-video --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-chuhaijiang-tiktok-video .claude/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .claude/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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-chuhaijiang-tiktok-videoType 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-chuhaijiang-tiktok-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-chuhaijiang-tiktok-video --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-chuhaijiang-tiktok-video .agents/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .agents/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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-chuhaijiang-tiktok-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-chuhaijiang-tiktok-video --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-chuhaijiang-tiktok-video .cursor/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .cursor/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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-chuhaijiang-tiktok-video--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-chuhaijiang-tiktok-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-chuhaijiang-tiktok-video --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-chuhaijiang-tiktok-video .gemini/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .gemini/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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-chuhaijiang-tiktok-videoInstalls 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-chuhaijiang-tiktok-video -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-chuhaijiang-tiktok-video .github/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .github/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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-chuhaijiang-tiktok-video -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-chuhaijiang-tiktok-video --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-chuhaijiang-tiktok-video .opencode/skills/linkfox-chuhaijiang-tiktok-video && 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-chuhaijiang-tiktok-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-chuhaijiang-tiktok-video into .opencode/skills/linkfox-chuhaijiang-tiktok-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-chuhaijiang-tiktok-video", 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.
Facts
- Skill name
linkfox-chuhaijiang-tiktok-video- GitHub stars
- 107
- Token cost
- ~2k tokens
- SKILL.md length
- 799 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
使用出海匠（Chuhaijiang）研究 TikTok 公开视频，支持多条件视频搜索、单视频详情、带货商品和评论钻取。用户点名出海匠或 Chuhaijiang 时触发；未指定数据源时，仅在需要视频评论或视频到带货商品的关系钻取时触发。通用 TikTok 带货视频榜单或详情使用 linkfox-kalodata-tiktok-video，视频上传发布使用…
- Works in 7 steps: State request context/site code,… → For search results, show caption, video… → For detail, group identity, creator,… → …
- SKILL.md covers Core Concepts, Data Fields, Endpoints and Parameter Guide, plus 7 more sections
- Runs Python scripts from its folder; calls python
What it does
Linkfox Chuhaijiang Tiktok Video is an agent skill from linkfox-ai/linkfox-skills. 使用出海匠（Chuhaijiang）研究 TikTok 公开视频，支持多条件视频搜索、单视频详情、带货商品和评论钻取。用户点名出海匠或 Chuhaijiang 时触发；未指定数据源时，仅在需要视频评论或视频到带货商品的关系钻取时触发。通用 TikTok 带货视频榜单或详情使用 linkfox-kalodata-tiktok-video，视频上传发布使用 linkfox-tiktok-video；点名其他数据源时不触发。
Its SKILL.md is about 2k 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/chuhaijiang_video_detail.py`).
It works with TikTok. The licence is MIT.
Example prompts
- “/linkfox-chuhaijiang-tiktok-video”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- State request context/site code, filters, sort, page, page size, and returned total.
- For search results, show caption, video ID, creator, country, plays, likes, comments, shares, engagement rate, and product/commerce…
- For detail, group identity, creator, timing, engagement, cover/share URL, and optional core metrics.
- For related products, show product ID/name, region, price range, rating, commission rate, video 30-day sales/GMV, and product total…
- For reviews, show comment ID, text, author handle/nickname, likes, replies, and creation time.
- Keep 19-digit IDs as strings. Preserve raw timestamps and add a readable date only as a derived label.
- Report empty arrays honestly. Never imply that an ordinary video is shoppable when data.items is empty.
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
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Chuhaijiang Tiktok Video loads about 2k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 799 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.
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). 799 words, ~2,003 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-chuhaijiang-tiktok-video/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- linkfox-chuhaijiang-tiktok-video
- description
- 使用出海匠（Chuhaijiang）研究 TikTok 公开视频，支持多条件视频搜索、单视频详情、带货商品和评论钻取。用户点名出海匠或 Chuhaijiang 时触发；未指定数据源时，仅在需要视频评论或视频到带货商品的关系钻取时触发。通用 TikTok 带货视频榜单或详情使用 linkfox-kalodata-tiktok-video，视频上传发布使用 linkfox-tiktok-video；点名其他数据源时不触发。
TikTok Video Market Intelligence
Use this skill to research public TikTok videos: discover videos with market filters, inspect one video's performance, identify products promoted by a shoppable video, or read its public comments.
Core Concepts
- This is a read-only public-market research skill. It does not upload, publish, edit, or delete TikTok videos.
- Search returns
data.items[]plusdata.total_count. Reuse an item'sidfor detail, product, or review drill-downs. - Detail returns the main profile in
data.items[];include=coreadditionally returns normalized performance metrics indata.core.items[]. - Related-product and review rows use endpoint-specific prefixed fields. Read
references/api.mdbefore interpreting them. - Money-like values can be objects such as
{ "unit": "US", "value": 402056 }. Preserve the returned unit and value; do not treat them as plain numbers or silently convert currency. - Always preserve the returned
country_code. Do not relabel a row solely from the requested marketplace.
Data Fields
| Field | Meaning |
|---|---|
id | Video, product, or comment identifier for the current endpoint |
video_desc | Video caption or description |
share_url | Public TikTok URL |
author_id / author_unique_id | Creator identifiers |
video_play_count / video_like_count | Lifetime plays and likes |
video_comment_count / video_share_count / video_collect_count | Engagement counts |
video_engagement_rate | Returned decimal engagement rate; format as a percentage only when clearly labeled |
video_30d_gpm | 30-day GMV per thousand views; not a percentage |
data.core.items[] | Optional normalized core metrics from detail include=core |
tiktok_video_detail_product_* | Product and video-commerce fields from related products |
tiktok_video_detail_comment_* | Comment identity, text, author, likes, replies, and timestamp |
Endpoints
| User goal | Endpoint | Script |
|---|---|---|
| Search public videos | /chuhaijiang/videos/search | chuhaijiang_video_search.py |
| Inspect one video | /chuhaijiang/videos/detail | chuhaijiang_video_detail.py |
| Find products promoted by a video | /chuhaijiang/videos/related-products | chuhaijiang_video_related_products.py |
| Read video comments | /chuhaijiang/videos/reviews | chuhaijiang_video_reviews.py |
Call only the endpoint required by the user's current question. A normal video can legitimately return an empty related-product list; do not replace it with another video without user approval.
Parameter Guide
country: lowercase request context/site code:br,de,es,fr,gb,id,it,jp,mx,my,ph,sg,th,us,vn. The row-levelcountry_codecan differ from the request value, so preserve both.page: starts at 1.pageSizecontrols the returned page size and must not exceed 10.id: required for detail, related products, and reviews. Pass it as a JSON string to preserve 19-digit identifiers.include: detail-only optional string. Usecoreonly when normalized core performance metrics are needed.- Search supports
keyword,category,isCommercial, play/like/30-day-GMV/engagement ranges,accountType(0,3, or4), andsort(field:asc|desc, defaultviews:desc). Use the camelCase gateway names inreferences/api.md; do not send the upstream snake_case aliases.
调用方式
- API 端点：
POST /chuhaijiang/videos/search、POST /chuhaijiang/videos/detail、POST /chuhaijiang/videos/related-products或POST /chuhaijiang/videos/reviews（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/chuhaijiang_video_<entry>.py '<JSON 参数>' [--inline]，其中<entry>为search、detail、related_products或reviews - 成本约束：业务入口脚本默认只缓存成功响应 24 小时，业务成功的空结果也可缓存；缓存按当前工作目录、调用身份、网关、端点和完整请求参数隔离。相同组合命中时输出
Cache hit，不会发起新的付费请求。HTTP 或业务失败不缓存；--inline不绕过缓存；--no-cache会强制真实请求并可能再次消耗算力，仅在用户明确同意额外消耗或调试时使用。
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-chuhaijiang-tiktok-video-<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、业务总数、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
网关返回认证或余额错误时，读取 references/onboarding.md，按其中的 auth/billing 分流使用 scripts/onboarding.py。不要把 API Key、验证码、支付链接或原始用户消息写入反馈。
Usage Examples
python scripts/chuhaijiang_video_search.py '{"country":"us","keyword":"beauty","isCommercial":true,"sort":"views:desc","page":1,"pageSize":3}'
python scripts/chuhaijiang_video_detail.py '{"country":"us","id":"6788833646091504902","include":"core"}'
python scripts/chuhaijiang_video_related_products.py '{"country":"us","id":"7672655263672864013","page":1,"pageSize":3}'
python scripts/chuhaijiang_video_reviews.py '{"country":"us","id":"6788833646091504902","page":1,"pageSize":3}'These examples were production-validated with non-empty semantic results. IDs are volatile public-market examples; use a fresh search result when they stop resolving.
Show full SKILL.md (322 more words)Show less
Display Rules
- State request context/site code, filters, sort, page, page size, and returned total.
- For search results, show caption, video ID, creator, country, plays, likes, comments, shares, engagement rate, and product/commerce metrics only when returned.
- For detail, group identity, creator, timing, engagement, cover/share URL, and optional
coremetrics. - For related products, show product ID/name, region, price range, rating, commission rate, video 30-day sales/GMV, and product total sales/GMV when present.
- For reviews, show comment ID, text, author handle/nickname, likes, replies, and creation time.
- Keep 19-digit IDs as strings. Preserve raw timestamps and add a readable date only as a derived label.
- Report empty arrays honestly. Never imply that an ordinary video is shoppable when
data.itemsis empty.
Important Limitations
- Data reflects the provider's latest indexed public snapshot and can lag TikTok.
- The request
countryselects provider context but is not a verified strict row-country predicate; returnedcountry_coderemains authoritative for each row. - Related products are available only for videos linked to products in the indexed dataset.
- Public comments can be partial, deleted, multilingual, or unavailable.
- Do not infer sales causality from correlation between views, engagement, and GMV.
- Do not expose internal tool identifiers, credentials, cache files, signed asset URLs, or unrelated response fields.
User Expression & Scenario Quick Reference
Use this skill: “用出海匠搜美国 TikTok 美妆视频”, “看这个视频详情和评论”, “这个视频带了哪些商品”, “Chuhaijiang video analytics”.
Adjacent: General public TikTok shoppable-video rankings or detail requests without a named source should use linkfox-kalodata-tiktok-video. Product-first research uses linkfox-chuhaijiang-tiktok-product; creator-first research uses linkfox-chuhaijiang-tiktok-creator. Uploading or publishing videos uses linkfox-tiktok-video.
Not applicable: video upload/publishing, creator authorization, seller-backend operations, video downloading, moderation, transcription, or media generation/editing.
算力消耗规则
按端点分别计费：视频详情 9 算力/次；视频搜索、视频带货商品和视频评论 18 算力/次。
用户会因算力消耗而支付费用。高频调用或多端点钻取前，先说明预计调用次数与算力消耗。
Feedback: Use the Feedback API in references/api.md only when the user explicitly asks to submit feedback or authorizes it after an issue is identified. Sanitize the content and never include credentials, signed URLs, phone numbers, or unrelated task context.
© 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-chuhaijiang-tiktok-video of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/chuhaijiang_video_detail.py
- scripts/chuhaijiang_video_related_products.py
- scripts/chuhaijiang_video_reviews.py
- scripts/chuhaijiang_video_search.py
- scripts/onboarding.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Chuhaijiang Tiktok Video 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 Chuhaijiang Tiktok Video this skilllinkfox-ai/linkfox-skills | 107 | — | ~2k | 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 |
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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 Aba Intelligent Query
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 Amazon Alexa Search
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 Amazon Opportunity Search By Metrics
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 Amazon Product Detail
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 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…
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Works with
Questions about Linkfox Chuhaijiang Tiktok Video
What does Linkfox Chuhaijiang Tiktok Video do?
使用出海匠（Chuhaijiang）研究 TikTok 公开视频，支持多条件视频搜索、单视频详情、带货商品和评论钻取。用户点名出海匠或 Chuhaijiang 时触发；未指定数据源时，仅在需要视频评论或视频到带货商品的关系钻取时触发。通用 TikTok 带货视频榜单或详情使用 linkfox-kalodata-tiktok-video，视频上传发布使用…. Linkfox Chuhaijiang Tiktok Video is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Chuhaijiang Tiktok Video in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-chuhaijiang-tiktok-video -a claude-code`. Or copy the skill folder (skills/linkfox-chuhaijiang-tiktok-video in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-chuhaijiang-tiktok-video in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Chuhaijiang Tiktok Video in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-chuhaijiang-tiktok-video -a codex`. Or copy the skill folder (skills/linkfox-chuhaijiang-tiktok-video in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-chuhaijiang-tiktok-video in your project. Codex loads it when a task matches its description.
Can I use Linkfox Chuhaijiang Tiktok Video 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-chuhaijiang-tiktok-video -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-chuhaijiang-tiktok-video, .gemini/skills/linkfox-chuhaijiang-tiktok-video, .github/skills/linkfox-chuhaijiang-tiktok-video and .opencode/skills/linkfox-chuhaijiang-tiktok-video in your project.
What does Linkfox Chuhaijiang Tiktok Video need to run?
Going by SKILL.md and its folder, Linkfox Chuhaijiang Tiktok Video needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Linkfox Chuhaijiang Tiktok Video access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Linkfox Chuhaijiang Tiktok Video 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 Chuhaijiang Tiktok Video use?
Linkfox Chuhaijiang Tiktok Video 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 Chuhaijiang Tiktok Video use?
About 2k tokens (SKILL.md is roughly 8k 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 3.4k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Chuhaijiang Tiktok Video?
Skills that share tags, products or a category with Linkfox Chuhaijiang Tiktok Video: 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 Chuhaijiang Tiktok Video?
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.