'code generation' 검색 결과

Generate reviewable React or HTML code from a Figma design using the Anima SDK. Use when testing design-to-code conversion, learning Anima's code output format, or building your first automated design-to-code pipeline. Trigger with: "anima hello world", "anima example", "figma to react", "figma to code", "anima generate code".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. Use when the user wants to integrate an AI model into an application with code generation as the end goal — generating MEX, CUDA MEX, static library, dynamic library, or executable — or using the model in Simulink for simulation and code generation. Covers PyTorch ExportedProgram (.pt2) via loadPyTorchExportedProgram and LiteRT (.tflite) via loadLiteRTModel (R2026a+). Keywords: PyTorch, torch, .pt2, ExportedProgram, loadPyTorchExportedProgram, invoke, codegen, MEX, CUDA, GPU, C, C++, deploy, AI model, deep learning model, LiteRT, TFLite, TensorFlow Lite, Simulink, slbuild, PyTorch ExportedProgram block, MATLAB Function block, dlosslib, loadLiteRTModel.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master the AI tools that supercharge software development. From code completion to full application generation, write better code faster and automate the tedious parts. Use when "AI coding, code assistant, Copilot, Cursor, code generation, AI developer tools, development, coding, ai-assistant, productivity, code-generation" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects. Supports README generation, API reference documentation, inline code comments, architecture documentation, changelog generation, and developer guides. Trigger on requests like "document this code", "create a README", "generate API docs", "write developer guide", or when analyzing codebases for documentation purposes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Complete guide for code coverage analysis. Use when you need to analyze code coverage, generate coverage reports, or configure CI/CD coverage checks. Covers Coverlet configuration, report generation, metric interpretation, and cyclomatic complexity integration. Includes Fine Code Coverage, VS Code built-in tools, and best practices. Keywords: code coverage, coverage analysis, coverage report, Coverlet, Fine Code Coverage, dotnet-coverage, ReportGenerator, line coverage, branch coverage, cyclomatic complexity, runsettings, cobertura

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate website design images before coding, then analyze their text, spacing, colors, and layout to guide implementation. Separate references for each section help translate the design into a responsive frontend with a readable first screen on smaller laptops.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a landing page from generated visual references
• Build a clear hero section for smaller laptop screens
• Create a portfolio with a consistent visual direction

Create a starter structure for a custom AI agent harness, the setup that supports agent execution. Choose a template and host, preview the plan, then explicitly confirm generation in a new directory outside the current project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a coding agent harness from a template
• Preparing starter setups for different agent hosts
• Previewing generated files' destination before writing

Set up automated Android builds and Google Play publishing with GitHub Actions. Supports TWA, React Native, Flutter, and native Android, with signing setup, separate testing and production tracks, and automatic build-number increments on main.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Google Play publishing from GitHub
• Separating internal, alpha, beta, and production releases
• Automating versionCode increments on main

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Generate music and sound effects from written descriptions with AudioCraft. Covers MusicGen and AudioGen, using reference melodies or musical styles, producing stereo audio, adjusting generation settings, and saving generated sounds as audio files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate music from a written description
• Create sound effects and environmental audio
• Generate music using a reference melody or style

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image

Create or update Codex skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers concrete use cases, folder structure, reusable resources, starter generation, and basic validation of names and required metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring work into a reusable skill
• Packaging company knowledge and API instructions
• Reorganizing an existing skill and its reference files

Create model architecture diagrams and method illustrations for academic papers using Gemini. Codex plans the figure and reviews generated images for correct connections, content, layout, and readability, guiding repeated revisions toward a clearer final figure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrate a model architecture for a paper
• Show a method's processing steps and data flow
• Create a conceptual comparison diagram

Resume Python tasks after execute_code_sandbox errors or timeouts by saving the attempted code as a script and running it through run_shell. The workflow includes dependency checks, execution timeouts, and verification of generated files such as Excel reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrying Python code after sandbox errors
• Resuming Excel or CSV generation after a failure
• Running saved scripts with a longer timeout

Install the Anima SDK and configure authentication for Figma-to-code generation. Use when setting up design-to-code automation, configuring Figma token access, or initializing the @animaapp/anima-sdk for server-side code generation. Trigger with: "install anima", "setup anima", "anima auth", "anima figma token".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deploy MATLAB-generated code to embedded hardware using Embedded Coder. Use when configuring code generation for microcontrollers (STM32, Raspberry Pi, ARM Cortex), setting up PIL/SIL verification, disabling dynamic memory allocation, or configuring hardware-specific code generation settings. Covers ERT-based configurations, processor-in-the-loop testing, memory constraints, and the MEX→SIL→PIL verification progression.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build with Mistral's Codestral code models — efficient open code generation with fill-in-the-middle.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build with Meta's Code Llama — open code models for generation, infilling, and long-context code tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Avalia modelos de geração de código em HumanEval, MBPP, MultiPL-E e 15+ benchmarks com métricas pass@k. Use ao comparar modelos de código, avaliar capacidades de codificação, testar suporte multilíngue ou medir qualidade de geração de código. Padrão da indústria do BigCode Project usado pelos leaderboards do HuggingFace.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects. Supports README generation, API reference documentation, inline code comments, architecture documentation, changelog generation, and developer guides. Trigger on requests like "document this code", "create a README", "generate API docs", "write developer guide", or when analyzing codebases for documentation purposes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Coordinate a Claude Code plugin release by updating version numbers across manifests, checking the build, creating a Git tag and GitHub release, and regenerating the changelog. The workflow also publishes to npm and verifies the published version.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a version increment for a plugin release
• Synchronizing versions across plugin manifests
• Creating a GitHub release and regenerating the changelog

Plan reviews of AI-generated code before running or merging it. Define language-specific checks, tests in isolated environments, and evidence requirements, while recording coverage limits and gaps that prevent approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning reviews of AI-generated code before merging
• Defining language-specific security checks
• Recording test evidence and unresolved gaps