1.5만건 · 관련도순
Skill for using the command-line tool pdftk (PDFtk Server) for working with PDF files. Use when asked to merge PDFs, split PDFs, rotate pages, encrypt or decrypt PDFs, fill PDF forms, apply watermarks, stamp overlays, extract metadata, burst documents into pages, repair corrupted PDFs, attach or extract files, or perform any PDF manipulation from the command line.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Get best practices for JUnit 5 unit testing, including data-driven tests
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate concise, actionable meeting minutes for internal meetings. Includes metadata, attendees, agenda, decisions, action items (owner + due date), and follow-up steps.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Get best practices for NUnit unit testing, including data-driven tests
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Get best practices for TUnit unit testing, including data-driven tests
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Get best practices for XUnit unit testing, including data-driven tests
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Instrument a webapp to send useful telemetry data to Azure App Insights
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, styling, theming, custom controls, and cross-platform deployment for Windows, macOS, Linux, iOS, Android, and WebAssembly.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate deep links to the Arize UI. Use when the user wants a clickable URL to open a specific trace, span, session, dataset, labeling queue, evaluator, or annotation config.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
INVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.