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概要と使いどころ
Trim PCR primers from aligned reads in amplicon-panel BAMs using samtools ampliconclip. Use when processing SARS-CoV-2 ARTIC, hereditary cancer panels, ctDNA hot-spot panels, or any amplicon assay where primer-derived bases would falsely confirm reference at primer footprints.
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Find and identify the CCSGameRules::TerminateRound function in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the round-end-processing function by finding the code that references both the bare "TerminateRound" debug tag string and the "TerminateRound: unknown round end ID %i\n" warning-format string — both are referenced from the same function. Trigger: CCSGameRules_TerminateRound
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Comprehensive guide for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language). Covers WebGPU renderer setup, node materials, compute shaders, post-processing, and WGSL integration. Use when working with Three.js WebGPU, TSL shaders, or GPU compute pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
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。
Generates Chain of Responsibility pattern for PHP 8.5. Creates handler chains for request processing with middleware-style composition. Includes unit tests.
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Ably real-time messaging patterns, WebSocket channel management, message validation and processing, staleness filtering, error recovery strategies, collaborative editing with drag-and-drop, optimistic updates for voting, real-time board collaboration, and Ably integration best practices for ree-board project
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Interactive review sessions with academic PDFs (lectures, research papers, book chapters). Extract concepts, run Q&A sessions, generate quizzes with scoring. Preserves mathematical formulas in LaTeX format. Privacy-preserving local processing - PDFs never uploaded. Use when studying academic materials, reviewing research, or preparing for exams.
日本語の概要は準備中です。原文の説明を表示しています。
ALWAYS use this skill when user needs ANY API functionality (AI models, image generation, video, audio, text processing, etc.). Automatically search 302.AI's 1400+ APIs and generate integration code. Use proactively whenever APIs or AI capabilities are mentioned.
日本語の概要は準備中です。原文の説明を表示しています。
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
日本語の概要は準備中です。原文の説明を表示しています。
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
日本語の概要は準備中です。原文の説明を表示しています。
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
日本語の概要は準備中です。原文の説明を表示しています。
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
日本語の概要は準備中です。原文の説明を表示しています。
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications.
日本語の概要は準備中です。原文の説明を表示しています。
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
日本語の概要は準備中です。原文の説明を表示しています。
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
日本語の概要は準備中です。原文の説明を表示しています。
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
日本語の概要は準備中です。原文の説明を表示しています。
Process and extract information from PDF documents. Use this skill when the user asks to read, analyze, or extract data from PDF files.
日本語の概要は準備中です。原文の説明を表示しています。
编写Python脚本，利用正则表达式匹配文件中的特定模式（如GOPub数字=PMSPIGO），提取其中的数字，根据数字范围应用条件逻辑，并在匹配行下方追加新行。
日本語の概要は準備中です。原文の説明を表示しています。
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
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Use this skill when the user wants to convert a lecture, presentation, or talk video into text formats (transcript, outline, or article). Trigger when user mentions processing video recordings, creating transcripts from lectures, or generating articles from recorded presentations.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
日本語の概要は準備中です。原文の説明を表示しています。
Expert GNU awk (gawk) one-liner generation and transformation. Use this skill whenever the user asks to process text fields, extract columns, compute sums or aggregates, filter structured output, reformat CSV/TSV, parse logs, generate reports, or do any record/field processing task. Trigger on keywords like "awk", "extract column", "sum a field", "count occurrences", "print field N", "filter by column", "reformat output", "aggregate log data", "process CSV", "TSV", or any request that maps to a field-oriented text transformation. When in doubt, use this skill — awk is often the right tool when sed isn't enough.
日本語の概要は準備中です。原文の説明を表示しています。
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
日本語の概要は準備中です。原文の説明を表示しています。