技能 denario
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透過自動化假設生成、方法論開發、計算實驗和 LaTeX 論文撰寫，將數據集轉化為可發表的研究。多代理 AI 協調專業代理以實現端到端的研究管線。
支援: Claude Codex Code(CC)
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下載技能 ZIP
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在 Claude 中上傳
前往 設定 → 功能 → 技能 → 上傳技能
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開啟並開始使用
測試它
正在使用「denario」。 Generate research on climate data
預期結果:
- 研究假設：使用線性回歸量化全球變暖加速
- 方法論：時間序列分解、趨勢分析、統計顯著性檢驗
- 結果：每十年 0.18°C 的變暖趨勢，p < 0.001
- 論文：包含圖表和參考文獻的完整 LaTeX 文檔
正在使用「denario」。 Analyze customer churn dataset
預期結果:
- 研究想法：結合 XGBoost 和 Random Forest 的集成模型，帶有 SMOTE
- 方法論：訓練/測試拆分、交叉驗證、超參數調整、SHAP 分析
- 結果：85% AUC-ROC，識別出關鍵流失因素
- 論文：包含性能視覺化效果的期刊格式手稿
安全審計
低風險v4 • 1/17/2026
All 369 static findings are FALSE POSITIVES. The skill is documentation-only with bash command examples, API key configuration patterns, and file operations for research project management - all legitimate documented functionality for a scientific research automation tool.
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📁 檔案系統存取 (8)
🌐 網路存取 (9)
🔑 環境變數 (21)
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加速發表流程
自動化從原始數據集到格式化期刊投稿的過程，減少在方法論設計和論文撰寫上花費的時間。
結構化探索工作流程
將探索性數據分析轉化為可重現的研究項目，包括生成的假設、方法和文檔。
學習研究最佳實踐
遵循 AI 生成的方法論，了解計算研究和科學寫作的结构化方法。
試試這些提示
氣候分析
使用 pandas、scipy 和 matplotlib 分析 1880-2023 年的全球溫度異常數據。生成關於長期變暖趨勢的研究問題，開發線性回歸方法論，並創建可發表的論文。
基因表達研究
處理來自 500 名乳腺癌患者的 20000 個特徵的基因表達微陣列數據。生成關於治療反應預測因子的假設，創建機器學習分類方法論，並生成 LaTeX 論文。
財務預測
分析 1950-2023 年的月度失業率，以及 GDP 和通貨膨脹指標。生成 SARIMAX 預測方法論，執行帶有置信區間的分析，並撰寫研究論文。
完整研究管線
使用 denario 運行完整的研究管線：為我的 IoT 傳感器數據集設置數據描述，生成用於異常檢測的研究想法，開發帶有 sklearn 的方法論，執行分析，並生成 APS 格式的 LaTeX 論文。
最佳實務
- 提供詳細的數據描述，包括格式、大小、已知挑戰和可用工具，以獲得更好的 AI 生成輸出
- 在執行計算密集型分析階段之前，審查和完善生成的的想法和方法論
- 使用版本控制，在每個管線階段之後提交，以跟踪研究演進並實現可重現性
避免
- 提供模糊的數據描述會導致通用的、無法使用的研究想法和方法論
- 在執行之前跳過方法論審查可能導致不適合您數據的統計方法
- 在沒有中間驗證的情況下運行完整管線會浪費計算資源在有缺陷的研究方向上
常見問題
denario 支持哪些 LLM 提供商？
OpenAI GPT-4/3.5、Google Vertex AI Gemini/PaLM，以及任何與 AG2 或 LangGraph 框架兼容的提供商。
使用此技能需要 LaTeX 嗎？
LaTeX 僅在生成 PDF 論文時需要。您可以在不使用它的情況下使用完整工作流程並獲取 LaTeX 源文件。
可以使用自己的研究方法論嗎？
是的，使用 set_method() 並提供您的方法論（markdown 格式或文件路徑）以繞過自動生成。
需要什麼 Python 版本？
此技能需要 Python 3.12 或更高版本才能正常運作。
可以提供預先計算的結果嗎？
是的，使用 set_results() 加載現有的分析結果並跳過計算執行階段。
支持哪些期刊的論文格式？
已包含 American Physical Society（APS）格式。請查閱文檔了解其他期刊格式。