القائمة
对单个来源全文进行深层结构化信息提取，输出详细结构化 JSON。 适用于论文、网页、PDF 转文本等长文档的研究信息提取。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
搜索和浏览 AI Agent 研究论文库 (基于 Awesome-AI-Agents-Live 数据集，8800+ 篇论文)。Use when: (1) user asks about AI agent research papers, (2) user wants to find papers on specific agent topics (memory, planning, tools, collaboration, etc.), (3) user asks about trends or state-of-the-art in AI agents, (4) user needs paper recommendations by category/difficulty/score. NOT for: general academic search outside AI agents (use arxiv-search), non-research questions.
Search academic papers from arXiv, OpenAlex, and Semantic Scholar. Use when user asks to find research papers, search academic literature, get paper information, or verify citations.
Use when user needs to: (1) control Chrome browser, web automation, web scraping; (2) 控制浏览器、网页自动化、网页抓取; (3) screenshot, form filling, page navigation, execute JS in browser; (4) 截图、填表、页面导航、执行JS; (5) interact with existing Chrome session. Triggers: browser, chrome, CDP, puppeteer, selenium, playwright, 浏览器, 网页自动化, 截图, 爬虫, 网页操作.
综合设计技能：HTML 设计稿、演示文稿、交互原型、动画、线框图、Mondo 风格海报/书籍封面/专辑封面。 触发词：设计、design、mockup、prototype、landing page、deck、PPT、海报、poster、 书籍封面、book cover、专辑封面、album art、wireframe、故事板、storyboard、 可视化、visualize、Mondo、公众号封面、小红书配图、文章配图。 支持事实核验、品牌资产协议、10 种设计哲学方向、20+ 传奇艺术家风格、 多平台比例(21:9/16:9/3:4/1:1/9:16)、反 AI 烂设计规则、React+Babel 技术规范。
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
Create, customize, and export publication-ready charts (line, bar, scatter, pie, histogram) from CSV/Excel data with full Chinese font support, responsive layout, and Windows-compatible rendering. Use when user asks to: (1) 画图表、绘图、数据可视化; (2) 折线图、柱状图、散点图、饼图、直方图; (3) CSV/Excel 数据绘制; (4) mention chart type ('line chart', 'bar plot'); (5) 中文标签、标题、字体.
| name | deep_source_extractor |
| description | 对单个来源全文进行深层结构化信息提取，输出详细结构化 JSON。 适用于论文、网页、PDF 转文本等长文档的研究信息提取。 |
| version | 1.0 |
| dependencies | {} |
| inputs | [{"source_id":"str"},{"source_text":"str"},{"user_query":"str"},{"source_type":"str"}] |
| outputs | [{"extracted_json":"dict"}] |
对单个来源全文进行深层信息提取，产出可靠的、可供下游分析的结构化结果。
输出合法 JSON，字段缺失用空值/空字符串填充。
{
"source_id": "S1",
"source_type": "paper",
"title": "",
"authors": [],
"year": "",
"venue": "",
"summary": "",
"key_claims": [
{
"claim": "",
"evidence": "",
"quote": "",
"confidence": 0.0
}
],
"methodology": {
"approach": "",
"model_or_algorithm": "",
"dataset": "",
"experimental_setup": ""
},
"key_results": [
{
"result": "",
"metric": "",
"value": "",
"comparison": "",
"context": ""
}
],
"limitations": [],
"novelty_contribution": [],
"relevance_to_query": "",
"open_questions": [],
"keywords": []
}