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Computer Vision Specialist IA — Expert en vision par ordinateur (YOLO, OpenCV, object detection, OCR, segmentation)

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Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 16+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.

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大学業務で「この資料を AI に入れて大丈夫か」「どのサービスなら安全か」と 判断が求められた時に使う、機密情報取扱の判断フレームワーク。情報分類が 個人感覚に揺れている現場で、3 段分類 (Level 1: 公開 / Level 2: 学内限定 / Level 3: 機密) に基づく一貫した可否判断を提供する。テキスト本文だけでなく ファイルメタデータ / EXIF / OCR リスクや、Custom GPT / Projects / Gem 等の 事前設定機能に登録する情報も同じ軸で扱う。所属大学規程が優先される前提での 汎用的な判定軸であり、法的助言ではない。

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動画の全フレームをローカルで数値解析し、代表画像、未確認変化の補完、指定区間の画像列を取得してCodexで視覚分析する。動画レビューや内容確認で画像抽出が必要なときに使う。専用OCRや生成サービスを使わず、意味判断は画像を見て行う。

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Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.

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Nutrient DWS APIを使用したドキュメントの処理、変換、OCR、抽出、墨消し、署名、フォーム入力。PDF、DOCX、XLSX、PPTX、HTML、画像に対応。

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Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.

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Extract text from PDFs/scans (pymupdf, marker-pdf).

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从合同、报告和扫描文件中提取义务、期限及待办事项，附上来源页码并整理为任务草案。保留含糊表述和识别不确定性，供后续核查。

• 提取合同中的义务和期限
• 从报告中整理后续工作
• 核查扫描文件中的不确定内容

整理短篇宣传音乐、背景音乐、旁白或音效的需求，按用途调用相应的音频生成模型，并将生成的MP3或WAV文件保存到项目中。

• 制作店铺开业宣传短曲
• 指定乐器生成背景音乐
• 将定稿转为旁白

搜索 Screenpipe 记录的屏幕文字和音频，按主题、时间或应用筛选，回顾其他应用中的内容或会议，并按需将相关信息保存到 claude-mem。

• 查找在其他应用中看过的内容
• 回顾已录音的会议
• 将搜索所得要点保存到记忆

Revisit a recent answer, plan, draft, or decision using selected critique methods. The skill offers relevant approaches, explains what they reveal, and proposes improvements that are applied only after the user accepts them.

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• Examining assumptions in a plan
• Reviewing a draft from several perspectives
• Exploring failure risks before a launch

Simulate peer review through five perspectives covering journal fit, methods, subject expertise, interdisciplinary implications, and counterarguments. Receive separate review reports, an editorial decision, and a revision roadmap, or check whether revisions address earlier comments.

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• Simulate peer review before journal submission
• Check research methods and statistical validity
• Test core arguments against counterarguments

Translate selected pages or an entire English research paper into a simplified Chinese PDF made from images. It aims to preserve page layout, figures, and equations while retaining each original page’s dimensions and orientation.

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• Reading an English paper in simplified Chinese
• Translating selected pages of a paper
• Keeping figures and equations alongside translated text

Build Java applications that extract text, tables, and fields from documents using Azure AI Document Intelligence. Covers ready-made models for invoices and receipts, custom model creation, document classification, authentication, and error handling.

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• Extract text and tables from PDFs
• Read invoice and receipt fields
• Build models for custom document formats

Helps implement document processing in TypeScript with Azure, extracting text, tables, invoice fields, and receipt details. Covers ready-made models, custom model training, document classification, authentication, and waiting for analysis results.

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• Extracting text and tables from PDFs
• Reading invoice and receipt fields
• Training models for specialized documents

Extract text and tables from PDFs, create new documents, and reorganize pages. Use it to merge or split files, fill forms, add watermarks or password protection, and turn pages into images for visual inspection.

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• Extracting PDF tables into an Excel workbook
• Merging PDFs and splitting or rotating pages
• Filling application forms and checkboxes

Convert local images, audio, video, documents, and data using tools installed on the computer. Preserves original files, keeps conversion local, and checks outputs for content, format, and relevant quality changes before reporting the result.

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• Extract MP3 audio from an MP4 file
• Convert PNG images to JPEG
• Convert Markdown to DOCX or Office documents to PDF

Build learning activities where learners explain an idea first, then improve their explanation through focused questions. Include plain language, checks on analogies, application to unfamiliar situations, and a record of remaining gaps and next goals.

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• Learn a concept by explaining it in your own words
• Turn existing materials into explanation-based activities
• Test explanations without relying on technical terms

Convert PDF text and tables into Markdown for later summarizing, searching, or data extraction. Embedded images are saved separately and grouped by page in an appendix. Process individual files or entire folders, including subfolders.

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• Prepare PDF reports for summarizing
• Convert a folder of PDFs in one batch
• Extract embedded images grouped by page

Turn a vague idea into a written specification through focused questions. The skill scores clarity across goals, constraints, and success criteria, explores hidden assumptions, and requires explicit approval before moving from planning to execution.

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• Clarifying a vague idea before implementation
• Defining goals, constraints, and acceptance criteria
• Checking requirements across multiple project components

Turn academic papers and research reports into investment signals and trading strategies. Coordinate existing tools to extract formulas, implement rules, test them on historical data, store results, and monitor whether their effectiveness declines over time.

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• Extract investment signals from a research paper
• Implement and test trading rules on historical data
• Evaluate and store research results

Extract text and tables from PDFs, fill form fields with supplied data, and merge documents. Includes a pdfplumber text extraction example and scripts for inspecting form fields and extracting text.

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• Extracting text from PDF pages
• Retrieving tables from PDF documents
• Filling PDF forms with supplied data

Turn a vague idea into requirements ready for planning or implementation through focused, one-question-at-a-time interviews. Clarify intent, scope, constraints, success criteria, exclusions, and decision authority, while tracking ambiguity and checking assumptions against available project evidence.

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• Clarify a vague feature idea
• Define success criteria before implementation
• Agree on exclusions and agent decision authority