'file processing' 검색 결과

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

File upload vulnerability checklist: MIME type bypass, extension bypass, magic byte manipulation, path traversal in filenames, stored XSS via SVG/HTML upload, server-side processing attacks, and race conditions. Use for assessing file upload endpoints in web app pentests or bug bounty.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

기사 URL, YouTube 영상, 팟캐스트, PDF와 로컬 파일의 요점을 정리합니다. 요약 길이를 지정하거나 영상의 대화록을 추출할 수 있습니다.

• URL로 기사 요점을 확인합니다
• YouTube 영상을 요약합니다
• YouTube 대화록을 추출합니다

Get a detailed explanation of a file, function, or module using an existing knowledge graph and its source code. It explains architectural roles, dependencies, callers, and data flow for readers who may not know the programming language.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand the role of a specific file
• Trace a function’s callers and dependencies
• Follow inputs, processing, and outputs

Process video and audio with FFmpeg for editing and publishing. Convert formats, resize and compress files, extract audio, trim clips, and change playback speed. Includes recipes for preparing Remotion assets and exporting videos for social platforms and websites.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert GIF files to MP4
• Resize and compress videos for publishing
• Extract audio and convert audio formats

Analyze large scientific tables with Vaex, including datasets that exceed available memory. Build calculated columns, filter rows, compute statistics, visualize aggregated data, and convert files while identifying operations that may still require substantial RAM.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Computing statistics on tables larger than available memory
• Creating calculated features without storing full columns
• Visualizing large datasets with aggregated grids

Build Python workflows for filtering, grouping, joining, and reshaping table data with Polars. Get guidance on migrating pandas code and using lazy evaluation, which optimizes a processing plan before execution, for large datasets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Filtering and summarizing large CSV files
• Migrating pandas processing code to Polars
• Joining and reshaping multiple tables

Process paired-end 16S sequencing reads in QIIME 2 to produce ASVs, distinct sequence variants, and taxonomic assignments. Check input files, primer settings, and read retention while preserving artifacts that record the processing history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate paired FASTQ files and sample metadata
• Remove primers and denoise reads with DADA2
• Assign taxonomy using a compatible classifier

Optimize scientific Python workloads for NVIDIA GPUs by choosing suitable libraries and reducing bottlenecks. Compare outputs with the CPU version and measure complete processing time, including data transfers, to determine whether the GPU implementation provides a useful improvement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess whether slow Python processing would benefit from a GPU
• Move NumPy or pandas workloads to suitable GPU libraries
• Validate GPU results against CPU outputs

Use Dask to process tables, numerical arrays, and file collections in pieces across CPU cores or machines. Helps choose data structures, size memory-friendly chunks, coordinate dependent tasks, and diagnose slow or memory-heavy workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aggregate CSV or Parquet files that exceed available memory
• Process large scientific arrays in chunks
• Clean JSON records and logs before analysis

Process DNA, RNA, and protein sequences with Biopython, convert biological files, and retrieve NCBI records. Supports batch workflows for sequence comparison, searches for similar sequences, protein structure analysis, and evolutionary trees.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert GenBank files to FASTA
• Calculate sequence length and GC content in batches
• Retrieve sequences and publication records from NCBI

Resize images, convert formats, create thumbnails, and inspect dimensions and metadata with ImageMagick. Process individual files or batches, selecting images by size or file type and preserving their proportions when resizing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create thumbnails from a folder of images
• Resize wallpapers for different screen sizes
• Convert image file formats

Convert Word documents into Markdown text for summarizing, searching, comparing, or extracting information. The bundled script saves embedded images alongside each document and supports processing entire folders, including subfolders, before the agent analyzes the converted content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare Word reports for summarization
• Extract information from resumes or proposals
• Convert a folder of Word documents in one batch

Create automated workflows that add threat intelligence to suspicious IP addresses, domains, URLs, and file hashes. Combine findings from multiple services into consistent alert context and confidence scores to support analysts reviewing security alerts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding threat context to security alerts
• Processing indicators from phishing email submissions
• Standardizing bulk indicator lookups from threat feeds

Export data from Google Sheets as CSV for local backups or further processing. The recipe covers checking spreadsheet details, exporting through Google Drive, and reading a specified sheet range directly in CSV format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keeping a local CSV backup of spreadsheet data
• Exporting spreadsheet data for further processing
• Reading a selected sheet range as CSV

Review game code for likely performance bottlenecks in processing, memory, rendering, and data loading. Compare available estimates with configured limits and produce ranked optimization recommendations, including expected impact, effort, risks, and areas needing runtime measurement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding performance bottleneck candidates in one game system
• Reviewing performance across the whole game
• Comparing available estimates with configured performance limits

Build AI features for Dart and Flutter applications with the Genkit Dart SDK. Provides code and documentation for conversational agents, reusable processing flows, prompt files, model integrations, interactive interfaces, and debugging through recorded execution traces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a conversational AI agent to a Flutter app
• Building AI processing flows in Dart
• Managing prompts in separate files

Run several small development tasks as one batch, from planning through execution and merging. Control concurrency, add research or validation, and resume eligible unfinished items from a saved batch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Processing several small development tasks in one batch
• Loading a task list from a file
• Adding research and validation to batch tasks

Update one part of an existing privacy practice profile through a guided conversation. Change risk preferences, contract review positions, contacts, privacy assessment formats, or personal data request procedures, with an explanation of how the change affects later outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update privacy contacts and escalation routes
• Revise data processing agreement review criteria
• Change personal data request response procedures

Continue Python tasks when the sandbox cannot start by switching to run_shell. The workflow covers short scripts, saved script files, library checks, longer timeouts, and output verification for tasks such as PDF generation and data processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue Python work after sandbox startup failures
• Generate PDFs through shell execution
• Run data processing with required libraries

Process Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transform revenue data and save a processed Excel workbook
• Apply calculations across multiple worksheets
• Format report headers with colors and alignment

Validate spreadsheet sources before running Python scripts to transform data, update multiple sheets, or apply formatting. Check required data first, try backup sources when needed, and report errors clearly if processing cannot proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking required columns before processing Excel files
• Transforming data and saving a new workbook
• Updating formatting across multiple sheets

Diagnose Python script failures by capturing full error traces, which show where execution failed, alongside exit codes and working directory details. The skill also covers file existence checks and clearer paths for troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate Python failures with unclear error messages
• Find why a script cannot locate its input file
• Add diagnostic output to file processing scripts