菜单
Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Create consistent nn_cfd W&B experiment comparison reports from selected run IDs using wandb and wandb_workspaces. Use this whenever the user asks to report experiment results, create a W&B Report, compare CFD training/eval runs, document baseline-vs-variant outcomes, reproduce the project experiment report template, or publish a leaderboard-style report for milieu/nn_cfd.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research.
Create or improve Senpai target-repository onboarding files: program.md plus instructions/prompt-advisor.md and instructions/prompt-student.md. Use this skill whenever the user wants to point Senpai at a fresh ML or research target repository, define the research objective, primary metric, benchmark contract, allowed edit boundaries, W&B reporting contract, advisor/student prompts, or prepare a repo for autonomous advisor/student experiment loops.
Check and respond to GitHub Issues from the human researcher team. Runs in a forked context (no access to main conversation). Use this skill whenever you need to: check for human messages, respond to human issues, poll for team communications, check GitHub issues. Also triggers for: "any human messages?", "check issues", "respond to humans".
| name | web-search-advanced-research-paper |
| description | Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research. |
| context | fork |
| model | Codex-opus-4-8 |
| effort | high |
Use the exa MCP server to search for research papers and academic content.
ONLY use web_search_advanced_exa with category: "research paper". Do NOT use other categories or tools.
The research paper category supports ALL available parameters:
query (required)numResultstype ("auto", "fast", "deep", "neural")includeDomains (e.g., ["arxiv.org", "openreview.net"])excludeDomainsstartPublishedDate / endPublishedDatestartCrawlDate / endCrawlDateincludeText (must contain ALL)excludeText (exclude if ANY match)Array size restriction: includeText and excludeText only support single-item arrays. Multi-item arrays (2+ items) cause 400 errors. To match multiple terms, put them in the query string or run separate searches.
textMaxCharacters / contextMaxCharactersenableSummary / summaryQueryenableHighlights / highlightsNumSentences / highlightsPerUrl / highlightsQueryuserLocationmoderationadditionalQueriesmaxAgeHours / livecrawlTimeoutsubpages / subpageTargetNever run Exa searches in main context. Always spawn Task agents:
web_search_advanced_exa with category: "research paper"Use this category when you need:
Recent papers on a topic:
web_search_advanced_exa {
"query": "transformer attention mechanisms efficiency",
"category": "research paper",
"startPublishedDate": "2024-01-01",
"numResults": 15,
"type": "auto"
}
Papers from specific venues:
web_search_advanced_exa {
"query": "large language model agents",
"category": "research paper",
"includeDomains": ["arxiv.org", "openreview.net"],
"includeText": ["LLM"],
"numResults": 20,
"type": "deep"
}
Return:
You can use the initial summary findings from this skill to identify full papers to download and read using other skills or web search.