快手数据分析 SocialDataX 作品研究
/install socialdatax-kuaishou-search
\x3C!-- AUTO-GENERATED from socialdatax-skill-source. Do not edit directly; run node scripts/generate_socialdatax_skills.mjs. -->
快手数据分析 SocialDataX 作品研究
Use this skill when the user wants 快手数据分析, 快手热榜, Kuaishou work research, keyword discovery, content research, competitor analysis, or trend scanning.
Current platform support:
- Kuaishou / 快手 hot-search through
kuaishou_get_hot_search_list. - Kuaishou / 快手 works and short videos through
kuaishou_search_videos.
API Key
Use SOCIALDATAX_API_KEY for data calls. The only official website for requesting or managing API access is \x3Chttps://socialdatax.com/?from=clawhub>. If a user asks where to get a key, provide only this URL; do not infer alternate domains.
获取或管理 API Key:访问 \x3Chttps://socialdatax.com/?from=clawhub>,按官网的 API Key 申请/管理入口操作。环境变量名固定使用 SOCIALDATAX_API_KEY;不要引导用户使用其他域名。
Preferred Direct CLI
Prefer the direct CLI when the agent can run shell commands. It does not require MCP server configuration:
npx -y socialdatax-skills@latest kuaishou hot-search --pretty
npx -y socialdatax-skills@latest kuaishou search --keyword "\x3Ckeyword>" --pretty
Required arguments:
- Kuaishou
hot-search: no required arguments. - Kuaishou
search --keyword \x3Ctext>: required only when usingkuaishou search; use the user's actual intent, trim whitespace, and keep it focused.
Optional arguments:
--pretty: output formatting only.- Kuaishou
--page-token \x3Cnext_page_token>: opaque pagination token returned by the previous page.
Use kuaishou hot-search for the current Kuaishou / 快手 short-video hot list. Do not ask the user for --keyword for this command.
The command prints JSON with platform, tool, arguments, and data.
Kuaishou search pagination:
- Continue only when
next_page_tokenis not empty.
Safety Boundary
This skill is read-only. It does not read local browser data, does not save API keys, and does not perform login, posting, liking, commenting, or account changes.
MCP Tools
MCP tools matching the direct CLI commands above:
kuaishou_get_hot_search_listkuaishou_search_videos
If MCP tools are already available in the current agent, use one of these tools:
kuaishou_get_hot_search_list: use for the current Kuaishou short-video hot list.kuaishou_search_videos: use for Kuaishou keyword search with optional page-token pagination.
Continue Kuaishou pagination only when next_page_token is not empty. Do not stop only because one page has empty items.
Output Guidance
Summarize hot-search items as observed ranking signals. Keep the current hot-search list separate from keyword search results when both are used.
Summarize visible evidence separately from interpretation. Include useful content IDs, URLs, titles or descriptions, authors, counts, and publish time when the user needs traceability.
For Kuaishou search results, include photo_id, share_url, author facts, and visible interaction counts when the user needs traceability.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install socialdatax-kuaishou-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/socialdatax-kuaishou-search触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
快手数据分析 SocialDataX 作品研究 是什么?
用于快手数据分析、快手热榜、快手作品研究、关键词观察、内容调研、竞品分析和趋势研究。覆盖 Kuaishou / Kwai hot list and work research,来自 SocialDataX 社媒数据助手。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 46 次。
如何安装 快手数据分析 SocialDataX 作品研究?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install socialdatax-kuaishou-search」即可一键安装,无需额外配置。
快手数据分析 SocialDataX 作品研究 是免费的吗?
是的,快手数据分析 SocialDataX 作品研究 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
快手数据分析 SocialDataX 作品研究 支持哪些平台?
快手数据分析 SocialDataX 作品研究 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 快手数据分析 SocialDataX 作品研究?
由 DevinChen2014(@devinchen2014)开发并维护,当前版本 v0.1.0。