'content' 검색 결과

Build AI attribution systems for content sourcing. TRIGGERS - Use when user needs help with ai-attribution-system related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a professionally styled PDF document from Markdown content with custom fonts, headers, and page numbers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a complete EPUB e-book with chapters, table of contents, and rich text formatting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a print-ready PDF manuscript with title page, table of contents, and chapters at 6x9 inch trim size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create a structured quarterly business report with table of contents, data tables, and page numbers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a branded PDF report with custom client logo placeholder, colors, and content sections for white-label agency delivery.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a PowerPoint slide deck with title slide, content slides, and call-to-action page.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate PDF, DOCX, EPUB, and PPTX documents from structured content blocks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract clean article content — title, author, date, and body text — from PDFs, Word docs, and web pages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cooks and packages a shippable CARLA server from a UE 5.8 ue58-dev checkout via the CMake `package` targets (shipping/development/debug/test), scoping the cook with CARLA_MAPS_TO_COOK, and inspects an existing package for the failures a green build hides — stale pak/ucas mismatch, missing staged OpenDrive/TM road data, missing post-process profiles, and Town15's uncookable content. Use when the user asks to "package CARLA UE5", "cook a map", "build a shipping server", "make a distributable CARLA", or a package builds but renders black / has no maps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds CARLA (branch ue4-dev, Unreal Engine 4.26) from source on Linux end-to-end — UE4 fork, the Carla server (editor C++ modules), the LibCarla Python client wheel, and content — then verifies them against a from-source server. Optionally builds the native ROS 2 interface in (ROS2=1 → --ros2, Fast-DDS/CycloneDDS/Zenoh), which is compile-time only and cannot be enabled later. Use when the user asks to "build CARLA from source", "compile CARLA ue4-dev", "set up CARLA on Ubuntu (incl. 24.04)", "build CARLA with ROS2 support", or "produce a CARLA server + client wheel". Cooking a distributable Dist/ package is a separate skill (package-carla-ue4); running the build is run-carla-server.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Imports FBX meshes into a CARLA source build as spawnable static.prop.* blueprints — pass a directory whose subdirectories name the semantic tags, or a single FBX with its tag, and the props are imported into content, registered, added to the prop factory and verified by spawning. Use when the user asks to "add a prop to CARLA", "import an FBX as a prop", "add street furniture/benches/signs", or needs a custom mesh spawnable from the Python API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create or update a pull request for the current branch. Trigger when the user asks to create/open/make a PR, or to edit/update/rewrite/fix the PR description, body, or summary — for both new PRs (`gh pr create`) and existing ones (`gh pr edit --body-file`). Use for any verb that lands on a PR's text content: "open a PR", "make a PR", "update the PR description", "rewrite the PR body", "fix the description".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Content, animation and effects best practices

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Windows アプリ開発 (WinUI 3 / Windows App SDK) のコントロール API リファレンス。 Microsoft.UI.Xaml.Controls。Button, CheckBox, RadioButtons, ToggleSwitch, Slider, TextBox, RichEditBox, AutoSuggestBox, NumberBox, ListView, GridView, ItemsView, ItemsRepeater, TreeView, ComboBox, NavigationView, TabView, Frame, SplitView, BreadcrumbBar, ContentDialog, Flyout, CommandBar, TeachingTip, InfoBar, MediaPlayerElement, WebView2, CalendarView, DatePicker, ColorPicker, TitleBar。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Windows アプリ開発 (Windows AI Foundry) の AI/ML 統合リファレンス。 Windows AI APIs、LanguageModel, TextRecognizer, ImageScaler, ImageObjectExtractor, ImageObjectRemover, ImageDescriptionGenerator, SemanticSearch, ContentModeration、 Phi Silica / Aion Instruct、LoRA、Windows ML、Windows ML Runtime API、ONNX Runtime、 execution providers、WebGPU EP、Model Catalog、LearningModel、 Foundry Local (CLI / REST API / SDK)、MCP サーバー、App Actions、IActionProvider、 Agent Launchers、DirectML、IDMLDevice、operators、tensors、NPU。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Android Jetpack Compose (Kotlin) のアニメーション・描画リファレンス。 androidx.compose.animation / graphics API。 AnimatedVisibility, AnimatedContent, animate*AsState, Animatable, AnimationSpec, Canvas, DrawScope, Brush, Path, Color, Image。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

UIKit iOS/iPadOS UI フレームワーク。 UIViewController, UINavigationController, UITabBarController, UISplitViewController, UIView, UILabel, UIButton, UITextField, UIScrollView, UIStackView, UITableView, UICollectionView, diffable data source, NSDiffableDataSourceSnapshot, UICollectionViewCompositionalLayout, Auto Layout, NSLayoutConstraint, NSLayoutAnchor, UILayoutGuide, intrinsicContentSize。 UIArrangementViewController, UISplitArrangement, UIOverlayArrangement, UIView.ReservedRegion, UIHingeInteraction, 縦軸バー, iPhone Duo adaptive layout (iOS 27.1+), scene-based life cycle 移行, UISceneAccessory。SwiftUI ArrangementView とは別 API。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research a specific company before applying or interviewing by gathering facts from primary and official sources, recording the source and date behind every claim, and keeping anonymous or unverifiable material clearly separated from confirmed fact. Use when a user asks what a company actually does, how it makes money, what its published conditions are, whether a posting matches the company's own disclosures, or what to verify before an interview; do not use to predict hiring outcomes, to repeat review-site content as fact, or to bulk-crawl sites that prohibit automated access.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Execute tasks based on GitHub Issue content

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Triage a GitHub issue that already has the cc-issue-created label and is assumed ready to start. Inspect the comment history first to decide whether human confirmation is needed (cc-need-human-check, highest priority — reserved for issue-level deadlock, or for confirmation items answer-issue-questions already investigated and explicitly marked unanswerable); otherwise close the issue as not needed, delegate unanswered confirmation items in the last comment or the description to answer-issue-questions (cc-answer-issue-questions), refresh a description stale relative to settled comment-history content (cc-update-issue), turn the issue into an Epic and split it into sub-issues when its work should ship as separate PRs (cc-epic-issue), or move to execution (cc-exec-issue). Any UI-changing issue is routed to the design-first flow (cc-create-ui-design) before execution; the exceptions are an issue whose description already names the .pen design to implement against, and a minor UI change that introduces no new visual decision (no new screen/section, no layout change, no new reusable component, no visual expression outside existing design tokens/components). Design files are never edited in the implementation PR. Dependency checks are out of scope.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Interact with the HoneyComb agent marketplace. Browse agents, skills, and tools. Submit use cases for job tickers. Post and vote on comments. Purchase and download agent archives. Check automation scores. Use when exploring the marketplace, contributing content, or acquiring agents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Scan, structure, validate, and submit your project to the Next Level Builders Directory (https://nextlevelbuilder.io) with 17 rich blocks, cryptographic content hashing, Polar payment handling, and automated moderation queueing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Draft and quality-check pages for the IPA Knowledge Hub in the site's house style. Use when creating a new .qmd Hub page from source material, adapting outside content into a Hub page, or reviewing an existing page for structure, tone, frontmatter, references, and Diátaxis fit. Replicates the quality-control workflow of IPA's Knowledge Hub Generator assistant.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.