'language' 검색 결과

Refactoring using Extract Methods in Java Language

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Mise configuration patterns, task definitions, hooks, presets, and language-specific setup guidance for dev environment management and project tooling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a language translation for a mkdocs documentation stack.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Refactoring using Remove Parameter in Java Language

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: "create a tour", "make a code tour", "generate a tour", "onboarding tour", "tour for this PR", "tour for this bug", "RCA tour", "architecture tour", "explain how X works", "vibe check", "PR review tour", "contributor guide", "help someone ramp up", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. Includes pattern combinations and language-specific implementations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single script tag or npm package and lets end-users drive the UI with natural language. No Python, no headless browser, no extension required.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Inspect codebases w/ pygount: LOC, languages, ratios.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Provides ASR (Automatic Speech Recognition) services via uwebasr.zcu.cz. Use this skill to transcribe audio files in multiple languages (CS, SK, EN, DE, PL, HU, HR, SR, NL) using state-of-the-art models like Zipformer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a conversational QA session where the user reports bugs or issues, and file durable Beads issues using project domain language. Use when the user wants to report bugs, do QA, file issues conversationally, or mentions a QA session.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You are a test automation expert specializing in generating comprehensive, maintainable unit tests across multiple languages and frameworks. Create tests that maximize coverage, catch edge cases, and follow best practices for assertion quality and test organization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You are a code migration expert specializing in transitioning codebases between frameworks, languages, versions, and platforms. Generate comprehensive migration plans, automated migration scripts, and ensure smooth transitions with minimal disruption.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill provides symbol-level code understanding and navigation using Language Server Protocol (LSP). Enables IDE-like capabilities for finding symbols, tracking references, and making precise code edits at the symbol level.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Using Bogus to generate realistic fake data specialized skill. Used when generating realistic names, addresses, phone numbers, emails, company info and other test data. Covers Faker class, multi-language support, custom rules, bulk data generation, etc. Keywords: bogus, faker, fake data, fake data, realistic data, realistic data, fake name, fake address, fake email, Faker<T>, RuleFor, Generate, faker.Name, faker.Address, faker.Internet, generate fake data, generate fake data, seed data

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect suspicious PowerShell execution patterns including encoded commands, download cradles, AMSI bypass attempts, and constrained language mode evasion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack classification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune detection logic for reducing false positives.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.