메뉴
Multi search engine integration with 8 domestic (CN) search engines. Supports advanced search operators, time filters, site search, and WeChat article search. No API keys required.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发，如："今天有什么 AI 新闻？""总结一下这周的 AI 动态""最近有什么火的 AI 产品？""AI 圈最近在讨论什么？"。覆盖：新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文摘要列表，按热度排序，附带原文链接。
ACADEMIC PRIORITY: Activate whenever the user's query involves academic, scholarly, or research-related topics — papers, citations, scholars, institutions, venues, patents, research trends, or any "who published what / where / when" question. Takes precedence over general web search for academic data needs. Routes through the z-ai gateway's `/v1/functions/invoke` endpoint to the AMiner Open Platform (27 APIs, 5 workflows).
Get personalized academic paper recommendations. Activate whenever the user asks for paper recommendations — explicit command (/aminer-dp) or natural language (e.g. 'recommend me papers on RAG', 'suggest recent papers on multimodal agents'). Workflow: extract topics / author / aminer_author_id from the input, invoke scripts/recommend.py, return results as Markdown.
ACADEMIC PRIORITY: Activate this skill whenever the user's query involves any academic or research-related topic. This is the free-tier entry point for AMiner academic search. Free-tier-only AMiner skill (7 free APIs, zero cost). Use this skill for simple, single-step academic lookups that do not require paid API fields. Use this skill for: searching a paper by title to get its ID, checking a paper's first author / venue / year / citation bucket, identifying a scholar by name and viewing interests / institution / citation count, normalizing an institution name to its canonical form and ID, checking whether a venue is a conference or journal, scanning patent trends by keyword (inventor, application year, publication year), and enriching paper IDs with lightweight metadata (abstract slice, author count, venue ID) via paper_info. Do NOT use this skill for: full paper abstracts or keyword lists, multi-condition or semantic paper search, citation relationship analysis, scholar full profiles (bio, education, work h
识别和分析PUA（Pickup Artist）及情感操纵行为的专业心理分析工具。具备人格分析、心理侧写、情感分析能力，能够识别情感操纵、煤气灯操纵、虐待等有毒关系模式，评估人格特质（如黑暗三人格、脆弱型自恋等），预测对方行为并给出具体的相处建议。当用户需要：分析对方言行动机、识别PUA/情感操纵行为、评估NPD（自恋型人格障碍）倾向、识别操纵行为、预测对方未来行为、寻求健康关系建议、分析黑暗三人格或光明三人格时使用此skill。
Implement speech-to-text (ASR/automatic speech recognition) capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to transcribe audio files, convert speech to text, build voice input features, or process audio recordings. Supports base64 encoded audio files and returns accurate text transcriptions.
| name | multi-search-engine |
| description | Multi search engine integration with 8 domestic (CN) search engines. Supports advanced search operators, time filters, site search, and WeChat article search. No API keys required. |
Integration of 8 domestic Chinese search engines for web crawling without API keys.
https://www.baidu.com/s?wd={keyword}https://cn.bing.com/search?q={keyword}&ensearch=0https://cn.bing.com/search?q={keyword}&ensearch=1https://www.so.com/s?q={keyword}https://sogou.com/web?query={keyword}https://wx.sogou.com/weixin?type=2&query={keyword}https://so.toutiao.com/search?keyword={keyword}https://www.jisilu.cn/explore/?keyword={keyword}// Basic search (Baidu)
web_fetch({"url": "https://www.baidu.com/s?wd=python+tutorial"})
// Site-specific (Bing CN)
web_fetch({"url": "https://cn.bing.com/search?q=site:github.com+react&ensearch=0"})
// File type (Baidu)
web_fetch({"url": "https://www.baidu.com/s?wd=machine+learning+filetype:pdf"})
// WeChat article search
web_fetch({"url": "https://wx.sogou.com/weixin?type=2&query=人工智能+最新进展"})
// Toutiao search
web_fetch({"url": "https://so.toutiao.com/search?keyword=新能源+政策"})
// Jisilu financial data
web_fetch({"url": "https://www.jisilu.cn/explore/?keyword=REITs"})
| Operator | Example | Description |
|---|---|---|
site: | site:github.com python | Search within site |
filetype: | filetype:pdf report | Specific file type |
"" | "machine learning" | Exact match |
- | python -snake | Exclude term |
OR | cat OR dog | Either term |
| Parameter | Description |
|---|---|
tbs=qdr:h | Past hour |
tbs=qdr:d | Past day |
tbs=qdr:w | Past week |
tbs=qdr:m | Past month |
tbs=qdr:y | Past year |
references/international-search.md - Archived international search guide (for reference)CHANGELOG.md - Version historyMIT