'code generation' 검색 결과

Create photos, illustrations, product mockups, and other bitmap images, or edit existing images by replacing backgrounds, removing objects, and making transparent cutouts. Use reference images to guide style, composition, or visual variants.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a website hero image
• Explore product or packaging mockups
• Remove objects or replace an image background

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Look up current library and framework documentation with Context7 to explain setup, configuration, and APIs. Retrieve relevant code examples, prefer official packages, and use documentation for a specified version when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding framework setup and configuration steps
• Looking up library API references
• Finding code examples for implementation

Design Azure infrastructure from plain language or visualize existing resources as interactive diagrams. Refine the architecture through conversation, then generate Bicep infrastructure code, review it, and validate changes before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new Azure architecture
• Visualizing existing Azure resources
• Planning cost or security changes

Plan customer acquisition through paid ads, SEO, and partnerships for growing B2B SaaS startups. Includes campaign templates, customer acquisition cost calculations, and HubSpot tracking guidance to connect marketing activity with sales opportunities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning campaigns across ads, SEO, and partnerships
• Reviewing ad budgets and customer acquisition costs
• Designing campaign tracking in HubSpot

Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a landscape image from a written description
• Checking supported image sizes and quality settings
• Saving generated images as files

Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask an AI model questions through 9Router
• Generate code from written instructions
• Summarize text with a selected model

Reduce LLM generation delays with speculative decoding, which proposes tokens ahead of verification. This skill compares small draft models, Medusa, and Lookahead Decoding, with implementation examples, tuning guidance, and deployment using vLLM.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reducing response delays in chatbots
• Speeding up code generation
• Choosing a small model to draft candidate tokens

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Recover failed Python tasks by saving the code as a script and running it through the system shell. The workflow covers spreadsheet generation, data processing, output verification, and troubleshooting missing packages, paths, or permissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry spreadsheet generation after a sandbox failure
• Rerun data processing that timed out
• Run scripts with system-installed Python libraries

Recover from failed inline Python execution by saving the code as a script, running it through the shell, and checking the output. The four-step workflow helps diagnose errors in multiline code and spreadsheet generation tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering from failed inline Python execution
• Diagnosing heredoc parsing errors
• Debugging complex multiline scripts

Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry failed Excel or CSV generation
• Resume data transformations after a sandbox error
• Investigate Python errors through shell output

Convert Markdown into Word, PDF, and HTML using a workflow suited to the document. Simple files use direct delegation, while documents with special characters use separate conversion steps, character replacement, and output checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a simple Word document from meeting notes
• Exporting one document to several formats
• Converting documents containing special characters to PDF

Explicit-only last resort. Draws game art from code, with no image model - pixel sprites from a PixelSpec, flat vector props, UI and icons from portable SVG, rigged characters with planted feet, FX with a JS runtime, seam-proven autotiles, playable top-down layouts with collision, stylized parallax and ambient plate motion - palette-exact, with QA and review sheets. Use only when the user explicitly asks for code-drawn art, or when generate2dmedia route_media.py finds no image or video route (no-route, exit 3). Never the default - image generation (generate2dsprite, generate2dmap, video2dsprite) comes first for characters, props, maps and FX. Not for painterly, detailed or likeness art, HD-2D plates or realistic fire, smoke or water. Always disclose the result as code-drawn.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure CI/CD pipeline for automated Figma-to-code generation with Anima. Use when automating design-to-code in GitHub Actions, setting up PR-based component generation, or integrating Anima into design handoff workflows. Trigger with: "anima CI", "anima GitHub Actions", "anima automated generation".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize Anima code generation performance with caching, parallelism, and output tuning. Use when reducing generation latency, optimizing batch component generation, or improving generated code quality for production use. Trigger with: "anima performance", "anima slow", "anima optimization", "anima caching".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Scaffold a native iOS app (SwiftUI, no dependencies) from nothing, run it in the Simulator, and archive + upload it to TestFlight entirely from the command line. Bundles working scripts for icon generation, simulator run, and signed upload via the App Store Connect API. Use this whenever the user wants to build, run, ship, or debug an iOS/iPhone/iPad app, mentions Xcode, SwiftUI, .xcodeproj, xcodebuild, simctl, provisioning, code signing, App Store Connect, TestFlight, archiving, or "get this on my phone" — and also when an existing iOS build is failing on icons, signing, teams, destinations, or duplicate build numbers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

이미지 placeholder를 동적으로 materialize. Codex 채널에서는 내장 image-generation primitive 호출, Claude Code 채널에서는 omd-asset-curator로 fall back, OpenCode에서는 spec dump. HTML/MD의 `<!-- omd:gen-image -->` 블록을 단일 source of truth로 사용. '이미지 생성해줘', '플레이스홀더 채워줘', '코덱스로 이미지 만들어' 류 트리거.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate or scaffold ASP.NET Core code — Razor Pages, Blazor components, MVC controllers, views, and Minimal API endpoints — without using ASP.NET Core CLI scaffolding/code-generation tools. Use when (1) adding CRUD pages, views, or API endpoints backed by Entity Framework (EF Core) and a database, (2) generating code to create, read, update, and delete data using a DbContext, (3) scaffolding UI components that match the project's existing CSS framework and coding patterns, or (4) creating data-driven forms, tables, and navigation for a model class. Do not use for non-ASP.NET projects or when CLI-based scaffolding is preferred.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate complete, runnable Volcengine SDK code and provide SDK configuration guidance. Supports Go, Python, PHP, Java, and Node.js. Trigger this skill whenever the user wants to call a Volcengine API, generate Volcengine SDK code, or describes a cloud operation on Volcengine (e.g., "list ECS instances", "create a VPC on Volcengine", "query Volcengine billing with Python"). Also trigger when the user asks about Volcengine SDK configuration and best practices — including retry, timeout, authentication (AK/SK, STS, AssumeRole), proxy, connection pooling, SSL, debug mode, and error handling (e.g., "how to configure retry for Volcengine Go SDK", "volcengine python sdk proxy setup"). Trigger when the user mentions Volcengine service names such as ECS, VPC, CDN, CLB, RDS, Redis, Kafka, billing, IAM, DNS with code generation or SDK usage intent. When the user only needs API specification queries (parameters, error codes, response structures), hand off to the volcengine-api skill. When the user needs CLI-based operations, hand off to the volcengine-cli skill. Supports both Chinese and English prompts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.