719건 · 관련도순
Calculates molecular fingerprints (ECFP/Morgan, FCFP, MACCS, RDKit, AtomPair, TopologicalTorsion, Avalon, MAP4, MHFP6) and physicochemical descriptors (Lipinski, QED, TPSA, Crippen LogP, 3D shape) with explicit choice tables, bit vs count semantics, and partial-charge model selection. Use when featurizing molecules for similarity, QSAR, virtual screening, or ML, or selecting the correct fingerprint for a chemotype-aware task.
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Calculates molecular fingerprints (ECFP/Morgan, FCFP, MACCS, RDKit, AtomPair, TopologicalTorsion, Avalon, MAP4, MHFP6) and physicochemical descriptors (Lipinski, QED, TPSA, Crippen LogP, 3D shape) with explicit choice tables, bit vs count semantics, and partial-charge model selection. Use when featurizing molecules for similarity, QSAR, virtual screening, or ML, or selecting the correct fingerprint for a chemotype-aware task.
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提供在WinForms中通过ElementHost嵌入DiffPlex的WPF DiffViewer控件，实现两个字符串的对比及差异高亮显示的代码方案。
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FPPT · AI 全流程 PPT 生成系统。 Fast（快速模式）：一句话→HTML，≤10分钟。 Full（标准模式）：5层创作引擎，洞察→调研→架构→呈现→打磨。 触发词：做PPT / 生成演示文稿 / 快速做一份PPT / 标准模式做PPT / 投资汇报PPT / 产品讲解PPT / BP生成 / 基金报告PPT / 风控PPT / 标的分析PPT / 运营汇报PPT / 金融IT方案PPT
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목표 이미지와 구현한 3D 장면의 스크린샷을 비교해 구도, 조명, 질감을 단계적으로 개선합니다. 시각적 재현도를 평가하고 렌더링 속도도 확인하며 수정을 반복합니다.
Build interactive web motion from videos or image sequences, controlled by scrolling, pointer movement, dragging, or state changes. It covers media preparation, timeline compilation, playback controllers, delivery format selection, and checks on the target page.
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Edit local video files with ffmpeg, a command-line media tool. Trim and join clips, resize for social platforms, adjust playback speed, extract or replace audio, add image overlays, and export compressed or converted files.
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Turn small-molecule structures into numerical features for similarity searches and models that predict activity or properties. Using Molfeat, the skill covers representation choices, invalid inputs, alignment with experimental labels, and saving feature-generation settings for reuse.
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Add a CUDA/C++ GPU operation to sgl-kernel using AOT, meaning compilation before use. Follow the implementation through PyTorch registration, Python API exposure, SGLang integration, correctness tests, and benchmarks that account for cache reuse.
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Develop lightweight CUDA operations for SGLang using JIT, which compiles code on first use. A tensor-scaling example explains implementation conventions, input validation, memory access helpers, and when to choose this approach.
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Configure email security gateways to detect targeted phishing messages. Set up sender impersonation protection, link checks, isolated attachment analysis, and custom rules, then validate quarantine actions and alerts for suspected attacks.
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Investigate phishing emails that hide malicious links in QR codes. Decode destinations, analyze suspicious URLs, configure email detection rules, and plan mobile protections and awareness training for people who scan codes on their phones.
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Switch PUA commentary to an empathetic, encouraging tone while retaining its underlying work and verification requirements. The skill combines specific praise, practical suggestions, and occasional friendly teasing, with variations for different PUA styles.
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Diagnose errors and incorrect inference results in MNN's QNN backend for Qualcomm HTP processors. Compare intermediate calculation data against CPU results to locate the first faulty operator, distinguish bugs from precision limits, and guide operator support and performance fixes.
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Build game systems in Unity or Unreal Engine, including physics, AI, and multiplayer networking. The skill guides architecture, implementation, profiling, and testing to work toward frame rate targets and reduce memory use.
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Extract text, tables, and images from PDFs, or create and modify PDF documents. Covers merging, splitting, rotation, watermarks, password protection, page rendering, and OCR, which turns scanned page images into text.
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Extract text from PDFs by trying several methods in sequence and checking the results. When ordinary extraction yields too little text, switch to OCR, which recognizes text in images, to process scanned documents.
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Generate PDF checklists, reports, and scorecards with Python. Organizes content into sections and tables, supports scoring criteria and status colors, and includes steps to locate and verify the generated files.
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Extract text from difficult PDFs by trying several libraries and command-line tools in sequence, then using OCR, which reads text from images. Record failed attempts and check that extracted content meets the task requirements.
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Recover document and PDF generation tasks when sandbox errors provide little detail. Checks Python libraries, runs generation through the shell, captures errors, and verifies output files, with alternative PDF tools and text output as fallback options.
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Extract text from PDFs when the first reading attempt fails or produces poor results. The skill tries command-line tools, Python libraries, then OCR, which recognizes text in images, while checking output quality and recording successful methods.
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Extract text from downloaded PDFs by checking for invalid files, trying three extraction tools in sequence, and validating the results. This workflow helps identify download errors, empty output, and encoding problems during document retrieval.
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Generate PDF documents when sandbox execution fails with unclear errors. Check available Python libraries, switch to direct shell execution, and verify the resulting file while collecting error details to help diagnose problems.
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Generate DOCX, PDF, and HTML documents from Markdown, with alternative PDF tools to try when conversion fails. The workflow includes character replacement, separate conversion steps, and checks for missing, empty, or invalid output files.
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