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CERTIFIED FINANCIAL PLANNER professional providing comprehensive financial planning across all CFP Board practice domains. Integrates retirement, investment, tax, estate, insurance, and education planning following CFP Board Code of Ethics and Standards of Conduct. Use for holistic financial plans, cash flow analysis, net worth statements, insurance needs, estate planning coordination, education funding (529 plans), tax strategies, retirement projections, or CFP Board Practice Standards compliance.

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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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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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将目标图片与已实现的3D场景截图进行比较，逐步改善构图、照明和材质。记录视觉还原度评分与修改建议，并检查渲染速度，在需要时进行优化。

• 制作接近目标图片的3D场景
• 打磨浏览器游戏的照明与材质
• 改善现有3D作品的视觉效果

将视频或序列帧制作为随滚动、指针、拖动或状态变化响应的网页动效，涵盖素材制作规划、时间轴整理、交付格式选择、播放控制和页面验证。

• 将视频播放与页面滚动关联
• 通过拖动切换动作状态
• 处理用于网页的视频或序列帧

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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• Trimming and joining video clips
• Resizing videos for social platforms
• Extracting or replacing audio

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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• Prepare molecular features for activity or property prediction
• Choose molecular representations for similarity searches
• Keep experimental labels aligned after rejecting invalid molecules

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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• Add a lightweight CUDA operation to SGLang
• Choose between JIT and ahead-of-time compilation
• Validate tensor inputs in a kernel launcher

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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• Adding a CUDA/C++ operation to sgl-kernel
• Registering an operation with PyTorch and exposing a Python API
• Testing numerical results and invalid inputs

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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• Investigating suspicious emails containing QR codes
• Configuring QR detection for email images and PDF attachments
• Protecting phones from malicious QR destinations

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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• Strengthening protection against targeted phishing
• Detecting executive or vendor impersonation
• Reviewing link and attachment protection

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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• Use encouraging commentary during PUA tasks
• Receive empathy and direction when work stalls
• Recognize good reasoning as well as results

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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• Investigate QNN runtime and model conversion errors
• Find the first operator producing incorrect results
• Distinguish implementation bugs from numerical precision limits

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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• Implementing game mechanics in Unity or Unreal Engine
• Reducing frame drops and memory use
• Building multiplayer networking with lag compensation

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 PDF tables into an Excel file
• Merge documents or split selected pages
• Read text from scanned PDFs

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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• Extracting text from PDFs of unknown types
• Reading text from scanned documents
• Batch processing PDFs in different formats

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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• Extracting text from government and agency PDFs
• Detecting error pages downloaded as PDFs
• Trying alternative tools after empty or garbled extraction

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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• Extracting text from scanned PDFs
• Retrying extraction when PDF text is garbled
• Reading PDFs with tables or complex layouts

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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• Recovering PDF generation after unclear sandbox errors
• Checking required PDF libraries before generation
• Capturing detailed document generation errors

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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• Retrying PDF extraction after errors or empty output
• Reading scanned documents with OCR
• Extracting text and tables from structured PDFs

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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• Generating a PDF after sandbox execution fails
• Checking PDF libraries and choosing an alternative
• Verifying generated PDFs and investigating errors