'extract' 검색 결과

Keep older web extraction commands working during migration by forwarding a supplied URL to browser-extract after displaying a deprecation notice. This compatibility shim helps existing callers transition to the replacement skill and its template option.

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• Keeping older web extraction commands working during migration
• Switching URL extraction requests to browser-extract
• Moving an expected extraction format into a named template

Extract features from 1D signals using signalTimeFeatureExtractor, signalFrequencyFeatureExtractor, and signalTimeFrequencyFeatureExtractor. Use when computing time-domain features (amplitude, energy, shape factors), frequency-domain features (spectral location, power, bandwidth, PSD), or time-frequency features (spectral shape, instantaneous, ridges, wavelet, EMD-derived) on a per-frame basis. Use when the user asks to "extract features", "compute spectral features", "build a feature table for a classifier", "get per-frame statistics", "run feature extraction on this signal", or describes a vibration / biosignal / radar / sensor signal needing features for downstream ML or analysis. Includes optional GPU acceleration via canUseGPU and gpuArray. Does not cover filter design, audio-specific feature extraction (use audioFeatureExtractor in Audio Toolbox instead), batch dataset orchestration, or 2D / image features.

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양식, 청구서, 문제집처럼 일정한 형식의 텍스트에서 정보를 추출하는 흐름을 설계합니다. 정규 표현식으로 추출한 뒤 신뢰도가 낮은 항목만 LLM으로 확인하고 수정하도록 안내합니다.

• 문제 본문과 선택지 및 정답 추출
• 양식과 청구서 추출 절차 설계
• 정규 표현식과 LLM 중 선택

Extract text, tables, and attributes from rendered web pages into structured data. Check extracted content for personal information and malicious instructions, and save reusable extraction templates for pages on the same host.

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• Extracting text and tables from rendered web pages
• Saving templates for recurring extraction tasks
• Applying a saved template to another URL on the same host

Extracts, converts, or edits selected parts of spreadsheets, Word documents, PDFs, and PowerPoint files. It creates a separate output file, checks that the selection still matches the source, and verifies the saved result without modifying the original.

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• Export an Excel range as CSV, Markdown, or XLSX
• Extract Word paragraphs or create an edited copy
• Save a selected PDF page as a separate file

Refactor Java methods by extracting related blocks into separate, clearly named methods. Assess method length and complexity, preserve existing functionality, and return complete Java 17 methods with brief comments explaining each newly extracted method.

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• Split a long Java method into smaller methods
• Separate distinct operations within complex methods
• Name extracted logic to clarify its purpose

Extract webpage content from a URL through 9Router and receive Markdown, plain text, or HTML. Choose among supported extraction services, limit output length, or use a fallback chain that tries another provider when needed.

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• Convert a webpage to Markdown
• Extract article content as plain text
• Limit extracted content to a chosen character count

Extract PDF text using a sequence of tools when one method fails. Validate downloaded files, check whether the extracted text is substantial, record the successful method, and investigate alternative sources if extraction remains unsuccessful.

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• Extracting text from regulatory documents and handbooks
• Checking whether a PDF download returned an error page
• Trying another tool after empty or garbled text extraction

Extracts structured data from large sets of legal documents into tabular format for review, analysis, and reporting. Processes contracts, agreements, correspondence, filings, and other legal documents in bulk — extracting key terms, dates, parties, obligations, risks, and custom fields into organized tables. Use when conducting due diligence document review, bulk contract extraction, compliance audits across document sets, lease portfolio analysis, employment agreement review, regulatory filing review, or any task requiring structured extraction from multiple documents. Trigger keywords: tabular review, bulk extraction, document review table, data room review, batch document analysis, contract extraction, portfolio review, structured extraction, document comparison table.

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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

Apply over 240 reusable prompt templates to summarize content, extract insights, improve writing, review code, or analyze security threats. It reads each template directly and returns results in the format defined for that task.

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• Extract ideas and insights from an article
• Create a concise five-sentence summary
• Improve writing or review code with a selected template

Extract useful ideas from videos, podcasts, interviews, and articles, organized into sections tailored to the content. Choose from five depth levels, preserving surprising claims and, at fuller levels, getting essential takeaways and references to explore.

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• Extract key insights from a YouTube interview
• Review a podcast at a chosen level of detail
• Organize useful ideas from an article

Extract text from PDFs when read_file fails or returns unreadable data. Use dedicated command-line tools or Python libraries to retrieve text and tables, preserve spacing where possible, inspect document properties, and validate the extracted content.

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• Extract text when PDF reading fails
• Retrieve text while preserving layout spacing
• Extract tables as structured data

Download PDFs, check that the files contain valid content, and try several text extraction tools in sequence. The workflow helps detect downloaded error pages, insufficient text, and extraction failures while recording diagnostic details.

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• Extract text from official PDF handbooks
• Check whether a downloaded PDF is actually an error page
• Try another extractor when PDF text extraction fails

Extract readable PDF text when read_file returns binary or image data. Check the filetype parameter, run pdftotext, a command-line text extractor, and inspect output and errors, with temporary file output as an alternative.

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• Extracting PDF text after binary data is returned
• Checking read_file parameter names during troubleshooting
• Saving extracted text when direct output has issues

Extract text from local or downloaded PDFs using a sequence of tools. Try file reading, then pdftotext before a Python fallback, check readability, and document failures while clearly separating extracted content from knowledge-based additions.

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• Extract text from a local PDF
• Download a PDF from a URL and extract its text
• Switch tools when PDF reading fails

This skill helps users automatically extract YouTube video transcripts and metadata in batch via the BrowserAct API. The Agent should proactively apply this skill when users express needs like batch extract full transcripts from YouTube videos for specific keywords, scrape YouTube subtitles for a list of videos, get batch video metadata and likes counts for analysis, automate YouTube search and subtitle extraction, collect multiple video transcripts published this week, download bulk YouTube video subtitles without writing crawler scripts, build a dataset of transcripts from top YouTube videos, extract YouTube video URLs and publisher info in batch, gather full video content for AI summarization pipelines, monitor recent YouTube videos and extract their transcripts, batch retrieve structured subtitle data for media research, extract transcripts from trending YouTube content automatically.

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Deploy and use the Exasol Text AI Extension (TXAIE) with notebook-connector. Covers `deploy_license`, `initialize_text_ai_extension`, the `PYTHON3_TXAIE` language container, the Extraction API classes `StandardExtractor`, `NamedEntityExtractor`, `TopicClassifierExtractor`, `PipelineExtractor`, and `BranchExtractor`, named-entity, zero-shot classification, and feature extraction runs, default-model installation, and result-table querying such as `TXAIE_AUDIT_LOG`.

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Claude Code 세션 종료 시 재사용할 해결 절차를 추출해 저장하는 구버전 방식을 설명합니다. 현재는 사용이 중단되어 기존 환경의 호환성과 설정을 확인하는 참고 자료로 활용합니다.

• 구버전 세션 종료 훅 설정을 확인합니다
• 추출 기준과 대상 분류를 조정합니다
• 저장된 학습 스킬을 검토합니다

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

Convert Excel workbooks into Markdown tables organized by sheet, preparing their contents for reading, summarizing, searching, or extracting data. The bundled script also extracts embedded pictures and processes folders of workbooks, including subfolders when requested.

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• Preparing an Excel budget for summarization
• Converting workbooks before searching or extracting values
• Batch converting Excel files across folders

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Research topics across multiple sources, cross-check findings, and verify source URLs before producing a report with confidence labels. Choose from quick lookups to iterative investigations that preserve findings, with community sources prioritized for questions about public reactions.

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• Compare AI technology trends
• Map a market and its products
• Investigate community reactions

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules