'selection' 검색 결과

Add mouse, touch, and keyboard interaction to Three.js scenes. Implement object picking, camera navigation, dragging, and transform handles, with examples for selection feedback, coordinate conversion, and limiting the cost of interaction checks.

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• Select 3D objects with clicks or touch
• Add camera rotation and zoom controls
• Drag, rotate, and scale objects

Design how an AI agent finds and loads tools as needed. Compare discovery approaches, organize large tool collections, and assess tool selection accuracy, token costs, and cache reuse without placing every tool definition in the initial context.

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• Designing on-demand loading for many MCP tools
• Comparing tool discovery approaches
• Investigating cache misses after loading tools

Helps build LabArchives connections for electronic lab notebooks and laboratory inventory. Guides endpoint selection, request signing for authentication, and user authorization, with local tools to inspect container files and prepare redacted request plans before remote operations.

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• Plan an electronic lab notebook API connection
• Check authentication for laboratory inventory requests
• Inspect an LA container file locally

Plan and review fluid simulations with FluidSim, from solver selection and resource estimates to output analysis and restart checks. Examine numerical accuracy through grid and time-step comparisons, conservation checks, and explicit limits on computing resources.

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• Selecting a solver and reviewing simulation parameters
• Estimating memory, disk space, and runtime needs
• Inspecting spectra and conservation budgets

Create Appium tests that automate Android and iOS app interactions in Java, Python, or JavaScript. Configure local devices, emulators, simulators, or TestMu AI cloud devices, with guidance on element selection, waits, and gestures.

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• Automate login tests for Android and iOS apps
• Create tests for local emulators and simulators
• Configure real-device tests on TestMu AI cloud

Design recommendation and ranking systems that select the best items for a user or situation. Organize retrieval, enrichment, filtering, scoring, selection, and background actions into six stages, then generate a runnable scaffold for your chosen stack.

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• Designing a personalized content feed
• Reranking retrieved passages for RAG
• Prioritizing suggested tasks

Build Blazor interfaces with Microsoft Fluent UI components. The skill guides library setup, forms, selection controls, dialogs, notifications, and themes, and helps troubleshoot missing interface elements caused by provider configuration or JavaScript integration issues.

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• Setting up Fluent UI in a Blazor application
• Building forms with selection and autocomplete controls
• Adding dialogs and toast notifications

Provides guidance for retrieving China A-share prices and trading volumes through the TDX protocol. The source is currently retired from automatic routing because servers stopped responding, with explicit selection retained for possible future recovery.

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• Reviewing the retired data source and its limitations
• Checking daily and intraday data retrieval methods
• Understanding ticker formats and output columns

Choose how an API, the interface software uses to exchange data, should work. Covers REST, GraphQL, and tRPC selection, consistent responses, pagination, versioning, authentication, request limits, documentation, and security review considerations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between REST, GraphQL, and tRPC
• Standardizing API responses, errors, and pagination
• Planning authentication, request limits, and versioning

Use SAM to identify object regions in images from points, boxes, or existing masks. The skill provides implementation examples for transparent cutouts, automatic mask generation, annotation tools, and model selection based on available resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point or box selection
• Generating object masks automatically

Implement Zoom webhooks, HTTP notifications sent when events occur, such as meetings starting or recordings becoming available. Use reference guidance for event selection, subscriptions, signature verification, endpoint validation, delivery handling, and retries.

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• Receiving notifications when cloud recordings are ready
• Choosing meeting and participant events to subscribe to
• Implementing webhook signature verification

Build server-side Zoom integrations for meeting scheduling, user management, and recording downloads. This reference guides API endpoint selection, OAuth authentication, request limits, and error diagnosis, with examples for automated workflows and event notifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating meeting creation and updates
• Managing Zoom users in bulk
• Downloading recordings after event notifications

Choose research problems, refine new ideas, or rethink stalled projects through structured conversation. Assess feasibility, potential impact, and risks, then develop success criteria, decision points, and backup plans for a clearer research strategy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a thesis research topic
• Assessing risks in a new research idea
• Finding alternatives for a stalled project

Prepare SOX 404 internal control testing, including sample selection, evidence requirements, and audit workpapers. Organize findings about controls over financial reporting, assess deficiencies, and outline remediation plans for review by qualified financial professionals.

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• Prepare workpapers for internal control testing
• Choose audit samples based on control frequency and risk
• Organize control deficiencies and remediation plans

Develop independent solutions to a defined problem, compare them against shared requirements, and combine useful contributions into a coherent recommendation. An independent assessment and evidence checks support the selection, while unresolved tradeoffs and verification needs remain explicit.

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• Comparing concrete solutions to a defined problem
• Developing rough options before choosing an approach
• Comparing architectural or product proposals

Add or update tests for GitButler’s Ratatui terminal interfaces. It guides simulated key input, selection checks, SVG snapshots that record expected screen output, and commands for running tests or updating snapshots.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test cursor movement and selection
• Check screen output after key input
• Update expected SVG snapshots

Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.

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• Retrieve execution details for a slow job
• Check compute capacity contention and queue delays
• Review reserved capacity and autoscaling limits

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

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• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

Set up a new Obsidian vault, a folder for linked notes, or adopt an existing one. Select the working vault and route requests to the appropriate skills for importing sources, answering questions, saving results, or maintenance.

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• Set up a new Obsidian knowledge vault
• Adopt an existing vault
• Configure vault selection across projects

Fine-tune vision models on custom images using Hugging Face Jobs cloud GPUs. Covers object detection, image classification, and segmentation—identifying image regions—with dataset validation, hardware selection, cost estimates, monitoring, and saving trained models to the Hub.

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• Train an object detector on custom images
• Fine-tune an image classifier
• Adapt SAM/SAM2 to custom image masks

Train or fine-tune language and vision models on Hugging Face Jobs without a local GPU. Covers dataset checks, hardware and cost planning, training monitoring, Hub storage, and GGUF conversion for local use.

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• Fine-tune a language model without a local GPU
• Validate preference data before DPO training
• Estimate training costs and choose GPU hardware

Test Omnigent’s GitHub Copilot SDK integration on a live local server. Build test agents, run real conversations, and inspect authentication, model selection, tool connections, policy enforcement, and leftover processes to investigate integration failures.

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• Checking Copilot authentication with a real conversation
• Testing model selection and tool connections
• Verifying sub-agent dispatch and policy enforcement

Test Omnigent’s Antigravity SDK integration against a live local server. Build test agents and run real conversations to check Gemini authentication, model selection, tool connections, and failures across the full execution path.

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• Test authentication and real Gemini responses
• Verify tool connections and sub-agent delegation
• Investigate model selection failures

Turn three to six stages of marketing, hiring, or selection data into a vertical funnel infographic. A single HTML file shows counts, stage conversion rates, overall conversion, and a brief explanation of losses.

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• Visualizing the path from visitors to paying customers
• Showing applicant counts across hiring stages
• Comparing candidate counts during a selection process