conf-search
SolidSearch papers from top AI/ML conferences
Install
Quality Score: 84/100
Skill Content
Details
- Author
- Xiangyue-Zhang
- Repository
- Xiangyue-Zhang/auto-deep-researcher-24x7
- Created
- 1 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
search-conference-talks
Use when the task needs content from ML/AI conference presentations, workshop talks, or keynotes — especially recent conferences whose papers may not be fully indexed yet.
dingtalk-ai-web-search
网页搜索与实时信息检索。需要查找最新资讯、实时数据、技术文档、热点事件,或用户说"搜一下"、"帮我查"、"查资料"、"web search"等时使用。基于小宿AI智能搜索,支持关键词搜索、时间范围过滤(一天/一周/一月/一年)、自定义结果数量、JSON 输出。
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.
tavily-search
Web search using Tavily AI-powered search API. Returns AI-synthesized answers with citations and structured search results. Use when the user explicitly requests Tavily search, or when high-quality AI-synthesized answers with citations are needed for research, fact-checking, or comprehensive information gathering. Requires TAVILY_API_KEY.
rival-search-mcp
Deep research and competitor analysis using RivalSearchMCP. 10 tools: web search (Yahoo/DuckDuckGo), social media (Reddit/HN/Dev.to), news aggregation, GitHub search, website mapping, content extraction with OCR, scientific papers (arXiv/PubMed), and AI research agent. No API keys required. Use when the user needs web research, competitive analysis, content discovery, or academic paper search.