'creating' 검색 결과

Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a registered Dataset class
• Creating a model driven by configuration
• Wiring registration and creation logic in a new module

Manage GitHub pull requests, which propose code changes, and issues through a central MCP server. Create and update records, add comments, request reviewers, check changed files and automated checks, and merge pull requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating or updating pull requests
• Checking changed files and automated check status
• Requesting reviewers and adding review comments

Handle standalone administration tasks on a Tuwunel Matrix server, including registering users, creating rooms, managing membership, and uploading files. It also covers sending files to an administrator and identifies mention and room-joining requirements that affect Workers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Registering users on a Matrix server
• Creating rooms and managing membership
• Uploading files for an administrator

Guides the creation, import, and composition of agent teams with one Team Leader and multiple Workers. It explains member changes, delegation through the Leader, and where to manage each Worker's runtime settings and lifecycle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating or importing an agent team
• Adding or removing team Workers
• Delegating work through a Team Leader

Manage AI agent Workers by creating roles, selecting runtimes, starting or stopping Workers, and updating their skills. It also covers runtime migration, direct mentions between Workers, and access to the QwenPaw console.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a Worker with a defined role and skills
• Start, stop, or reset a Worker
• Add or remove Worker skills

Generate images, edit reference images, or redraw selected areas using GPT Image 2 or 2.5 through a packaged command-line tool. Resolve the model, image size, and quality settings, with reference examples available to guide the request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating posters and images with text
• Editing an existing image using references
• Redrawing a selected area with a mask

Create the starting files for a new agent skill, including SKILL.md, metadata, and optional folders. It guides descriptions that help agents select the skill, actionable workflows, ownership entries, and validation checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new agent skill from scratch
• Writing descriptions that help agents select the right skill
• Organizing SKILL.md and supporting files

Review custom dotnet new templates before publishing. Check required fields, parameter types and defaults, command name conflicts, and constraints, then receive findings grouped by severity with concrete fixes for errors and warnings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking template.json before publishing
• Investigating templates missing after installation
• Reviewing parameter types and default values

Install a .NET SDK, the tools used to build .NET projects, inside a project folder. Configure version selection and shared setup scripts to test previews or reproduce team and CI environments without changing the system installation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying a .NET preview without changing the system installation
• Pinning a project to a specific SDK version
• Creating repeatable setup scripts for teams and CI

Fill in related settings for .NET project creation while preserving explicit user choices. Produce a table explaining each choice and an exact dotnet new command, checking available options against the selected template’s help.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a target framework for Native AOT
• Reviewing HTTPS settings when authentication is enabled
• Organizing API options when controllers are selected

Compare two or more dotnet new templates using their installed options, features, and supported frameworks. Get a focused comparison table and a recommendation that explains which template best fits the project you want to build.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between webapi and webapp
• Comparing blazor and blazorwasm
• Selecting console or worker for background processing

Run small C# apps without creating a project, using the .NET CLI, its command-line tool. Use it to test language features, explore APIs, or prototype utilities with helper files and NuGet packages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying C# language features or APIs
• Prototyping logic before project integration
• Building a small utility with helper files

Create or review Blazor components, reusable parts of a web interface. Covers passing data and events between parent and child components, content templates, asynchronous work, display states, and resource cleanup when components are removed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reusable Blazor interface components
• Reviewing data and event flow between parent and child components
• Implementing debounced actions and periodic updates

Generate ASP.NET Core pages, components, or API endpoints for creating, reading, updating, and deleting database records. Follow the project's existing styling and code conventions, with database migrations and verification of the generated functionality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add database-backed record management pages
• Generate Minimal API endpoints for a model
• Create Blazor forms that match existing styling

Set up an AI agent team by proposing roles and names for a project, then creating shared team files after confirmation. Initialize member context, decision records, and logs so the team starts with a common project background.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up an AI team for a new project
• Review team roles before creating files
• Give agents shared project context

Use scGPT to convert single-cell gene expression data into numerical representations of cells and genes. These representations support clustering, data integration, cell-type annotation, and analyses of gene perturbations or regulatory relationships.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating cell representations from AnnData
• Preparing single-cell data for clustering and integration
• Annotating cell types with or without fine-tuning

Create and manage focused Specialist agents and Skills through conversation. Draft agent roles, review available Skills and Connectors, configure access, and manage changes, with Skill creation and publishing handled by the application's internal skill-creator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a Specialist for a focused role
• Updating an agent's Skills and Connectors
• Creating, revising, and publishing Skills

Give slides, documents, reports, and HTML landing pages consistent colors and fonts. Choose from ten preset themes using a visual showcase, or create a custom theme from a description and review it before application.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Making colors and fonts consistent across slides
• Choosing a theme for documents or reports
• Styling an HTML landing page

Turn specialized knowledge and repeatable workflows into an Agent Skill. Work through concrete usage examples, write SKILL.md, organize reusable scripts and resources, and validate the package before producing a distributable .skill file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn recurring work into a reusable skill
• Package internal knowledge and API instructions
• Revise an existing skill after real use

Create a complete email sequence from the target audience, offer, buying concerns, and brand voice. Get subject line options, preview text, full messages, calls to action, and a timing plan that keeps the tone consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a welcome email sequence after signup
• Creating follow-up emails that address buying concerns
• Planning a promotional email sequence for an offer

Create charts in Python with detailed control over colors, axes, labels, legends, and layouts. Use it to build scientific figures, arrange multiple plots, and export results as PNG, PDF, or SVG files for papers and presentations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating figures for papers and presentations
• Arranging multiple charts in one figure
• Adjusting colors, axes, labels, and legends

Extract text, tables, and images from PDFs, combine or split documents, rotate pages, fill forms, and create new files. It also covers password protection and OCR, which recognizes text in scanned pages for searching and reuse.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text and tables from documents
• Combining PDFs or splitting out selected pages
• Recognizing text in scanned documents

Create and edit Obsidian Bases files to organize notes into tables, cards, lists, or maps. Configure filters, calculated properties, grouping, and summaries to build task trackers, reading lists, and indexes of daily notes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a task table with due dates and progress
• Organizing books and articles into a reading list
• Creating an index of daily notes

Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a registered Dataset class
• Creating a model driven by configuration
• Wiring registration and creation logic in a new module