1.6천건 · 관련도순
Expert-level database systems theory covering relational model, query processing and optimization, transaction management, concurrency control, recovery, and NoSQL systems.
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Expert-level semiconductor materials covering band theory, silicon processing, compound semiconductors, wide bandgap materials, and semiconductor device fundamentals.
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Expert-level polymer chemistry knowledge. Use when working with polymerization mechanisms, polymer structure, molecular weight, mechanical properties, thermal analysis, rubber elasticity, polymer processing, or biopolymers. Also use when the user mentions 'polymerization', 'monomer', 'molecular weight', 'glass transition', 'crystallinity', 'elastomer', 'thermoplastic', 'thermoset', 'chain growth', 'step growth', 'living polymerization', or 'polymer blend'.
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Expert-level bioinformatics covering sequence analysis, structural bioinformatics, database searching, phylogenetic analysis, NGS data processing, single-cell analysis, and machine learning in biology.
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[Document Processing] Use when converting between Word DOCX and Markdown (GFM, math rendering). --to={markdown|docx}.
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[Document Processing] Use when a workflow step or the user asks for HTML page, deck, mockup or animation export to PNG, vector PDF, MP4 or GIF. --to={png|pdf|mp4|gif}.
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[Document Processing] Use when converting between PDF and Markdown: text PDFs to Markdown (scanned PDFs are reported, not OCR'd), Markdown to styled PDF. --to={markdown|pdf}.
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When processing code review feedback (bot or human) before changing anything — triages, verifies and pushes back with technical reasoning — even when the user just says 'fix the comments'.
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Execute the implementation plan by processing and executing all tasks defined in tasks.md
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Execute the implementation plan by processing and executing all tasks defined in tasks.md
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Apply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.
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Use when choosing .NET concurrency patterns for async I/O, queues, pipelines, or thread safety. Keywords: async/await, channels, dataflow, Rx, lock contention, producer consumer, parallel processing.
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Modelo de reconhecimento de fala de propósito geral da OpenAI. Suporta 99 idiomas, transcrição, tradução para inglês e identificação de idioma. Seis tamanhos de modelo, de tiny (39M parâmetros) a large (1550M parâmetros). Use para speech-to-text, transcrição de podcasts ou processamento de áudio multilíngue. Melhor para ASR robusto e multilíngue.
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Curação de dados acelerada por GPU para treinamento de LLM. Suporta texto/imagem/vídeo/áudio. Recursos incluem deduplicação fuzzy (16× mais rápida), filtragem de qualidade (30+ heurísticas), deduplicação semântica, redação de PII, detecção NSFW. Escala em GPUs com RAPIDS. Use para preparar datasets de treinamento de alta qualidade, limpar dados web ou deduplicar grandes corpora.
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Processamento escalável de dados para workloads de ML. Execução em streaming em CPU/GPU, suporta Parquet/CSV/JSON/imagens. Integra-se com Ray Train, PyTorch, TensorFlow. Escala de uma única máquina para centenas de nós. Use para inferência em lote, pré-processamento de dados, carregamento de dados multi-modal ou pipelines distribuídos de ETL.
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Remove Gemini AI watermarks from images using GeminiWatermarkTool (GWT). Use this skill whenever the user mentions: Gemini watermark, 浮水印, AI image cleanup, removing logos from Gemini-generated images, Google ImageFX cleanup, batch processing AI-generated photos, or anything about a semi-transparent logo in the bottom-right corner of an image — even if they don't say "GeminiWatermarkTool" explicitly. Also trigger for follow-up requests like "the corner still looks dirty" or "there's still residual artifacts" after a previous removal attempt.
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Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM message receive, reactions, chat member changes, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
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Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
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Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.
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Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools.
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Work the prototyping lab itself — where runs live, what a run is, how to promote a run into the checked example library, and how to add a new runtime (Processing in Rust, Cinder) in one module. Use when asked to add a language or framework to the lab, to turn a prototype into a reusable example, to find or tidy what is in the lab, or when the lab's folder or catalog needs explaining.
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Unified document optimization skill that chains docling-converter, imagemagick-expert, and markdown-to-pdf. Automatically detects input format, applies appropriate conversion pipeline, optimizes embedded images, and produces web/print-ready output with configurable quality presets. Use when converting documents through multi-step pipelines, optimizing PDF images, creating print-ready documents from various sources, or batch processing documents with image optimization.
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docling CLIを使用したドキュメント変換スキル。PDF、DOCX、PPTX、HTML、画像、Excel等のあらゆるドキュメントをMarkdown、JSON、YAML、HTML、テキストに変換。OCR対応で画像内テキストも抽出可能。Use when converting documents to Markdown or other formats, extracting text from PDFs, processing scanned documents with OCR, or converting office documents. Argument hint: [file_path] [--to md|json|yaml|html|text] [--ocr-lang ja] [--output output_dir]
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Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.
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