'applications' 검색 결과

Design LLM applications using patterns for answers grounded in documents, agents that use tools, and prompt testing. Implementation examples also cover monitoring response quality, latency, costs, and failures during operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an assistant that answers from internal documents
• Choosing an architecture for an agent that uses tools
• Comparing and versioning prompts

Set up Langfuse to record LLM application activity, costs, and response times. Manage prompt versions, organize evaluation datasets, and compare results to investigate failures and guide improvements using recorded evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Comparing prompt versions and evaluation scores
• Monitoring LLM costs and response times

Build LlamaIndex applications that retrieve relevant material before generating answers, a method called RAG. Connect documents, websites, and databases to support document questions, conversational search, structured summaries, and checks of answer relevance and source consistency.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building question answering over internal documents
• Creating a chatbot that remembers the conversation
• Searching information across files, websites, and databases

Turn applications into a ranked shortlist using only the job’s stated criteria, with evidence for each score. Prepare candidate replies, coordinate interview times, and create an onboarding checklist while leaving hiring decisions to the owner.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Shortlisting applicants against the job’s stated criteria
• Drafting interview invitations and rejection replies
• Coordinating interview times

Assess applications against a role's written scoring criteria, recording strengths, gaps, and supporting resume quotes. Save a structured review and propose tentative interview times for strong matches, while leaving all advancement and rejection decisions to the hiring manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing unscreened applications against written criteria
• Checking the resume evidence behind a candidate's score
• Recording strengths and gaps for hiring manager review

Build multi-page Next.js applications from JSON specifications. This skill guides route setup, shared layouts, page metadata, and server-side rendering, which prepares pages on the server, with optional data loading before display.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a multi-page app from JSON specifications
• Share navigation and layouts across pages
• Load server data before rendering a page

Manage applications in KubeSphere, from Helm and YAML deployment templates to repository synchronization, version review, and publication. The skill also guides inspection of installed applications and troubleshooting of installation or upgrade issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding and synchronizing application repositories
• Reviewing and publishing application template versions
• Checking installed applications

Manage recruiting in Ashby with natural language requests from Claude Code. Create and update candidates, create jobs and applications, review interview schedules and candidate notes, and combine records to report on hiring progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Registering candidates and updating contact details
• Creating jobs and linking candidates to applications
• Reviewing interview schedules and candidate notes

Test local web applications with Python scripts using Playwright, a browser automation tool. Verify interface behavior, investigate problems, capture screenshots, and inspect browser logs, with a helper that manages one or more application servers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify buttons, links, and form behavior
• Investigate problems in dynamic web interfaces
• Capture screenshots of local applications

Guides building AI applications that search documents before answering questions, an approach called RAG. Covers importing files and web data, creating searchable indexes, adding conversational interfaces, and evaluating whether answers match the retrieved material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a question-answering system for internal documents
• Create a chatbot that remembers conversation context
• Search information across files, web pages, and databases

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Evaluating answers against test datasets
• Monitoring production latency and costs

Guides building chatbots and tool-using agents with LangChain. Covers conversation history, model provider integration, and RAG, which retrieves relevant documents to inform answers, plus tracing to inspect application behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a chatbot that remembers conversation history
• Create document question answering with source references
• Build an agent that uses custom tools

Build Apple platform applications with Swift, including SwiftUI screens and state management. Design reusable interfaces with protocols, implement asynchronous tasks, protect shared data with actors, and check code through builds, performance profiling, and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building SwiftUI screens and state management
• Fixing concurrency issues with async/await and actors
• Designing protocol-based application architecture

Build Django web applications and REST APIs with Django REST Framework. This skill guides data models, input validation, views, authentication, permissions, and tests, while improving how applications retrieve related records from the database.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a REST API with Django
• Design data models and relationships
• Reduce database queries for related records

Build C# applications with .NET 8+, including ASP.NET Core APIs and Blazor interfaces. Get models, endpoints, services, and configuration, with guidance on database access, asynchronous operations, cancellation, authentication, performance tuning, and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a REST API with ASP.NET Core
• Implement database access with Entity Framework Core
• Create Blazor components and manage application state

Write, review, and debug Rust applications, including ownership and borrowing rules that govern memory use. Covers trait-based APIs, explicit error handling, asynchronous work with tokio, and tests with Cargo validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolve ownership, borrowing, and lifetime errors
• Design APIs with traits
• Implement asynchronous tasks with tokio

Build Solana applications using Helius for transaction submission, token and NFT queries, and wallet analysis. It also guides live data streams and webhooks, which notify applications when selected blockchain events occur.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a live wallet activity dashboard
• Query tokens and NFTs held by an address
• Notify an application about transfers or swaps

Use the new Process APIs in .NET 11 applications to run external commands, capture output and errors, and manage child processes. Guidance covers waiting for completion, reading output, and controlling whether processes survive their parent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing output and errors from external commands
• Stopping child processes when the parent exits
• Reading process output one line at a time

Test local web applications with Python scripts using Playwright, a browser automation tool. Verify interface behavior, investigate problems, capture screenshots, and inspect browser logs, with a helper that manages one or more application servers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify buttons, links, and form behavior
• Investigate problems in dynamic web interfaces
• Capture screenshots of local applications

Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join), BLOCKING vs POLLING connect modes, the computer-use tools (screenshot, click, type, key, scroll), screenshot-budget and action-batching discipline, MCP tool forwarding (forwarded___ tools), session lifecycle and expire-on-delete, and troubleshooting connection errors. Use when building or debugging an agent that drives a remote Windows desktop or GUI application via WorkSpaces Applications / AppStream — including "dcv session not ready", "client_disconnected", 400 signing-region, POLLING/connection_status, SAML assertion, or forwarded tool questions. Not for Amazon WorkSpaces Personal/Core virtual desktops or general AppStream fleet administration unrelated to agent access.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert knowledge for Azure Managed Applications development including limits & quotas, security, configuration, and deployment. Use when designing createUiDefinition UIs, JIT access, managed identities, StorageAccountSelector, or Bicep-based catalog publishing, and other Azure Managed Applications related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Resource Manager (use azure-resource-manager), Azure Lighthouse (use azure-lighthouse), Azure Partner Solutions (use azure-partner-solutions).

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Manages GitOps deployments via the ArgoCD REST API and argocd CLI. Triggers application syncs through /api/v1/applications/{name}/sync, monitors health status via /api/v1/applications/{name}, and manages rollbacks using /api/v1/applications/{name}/rollback for Kubernetes workloads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive legal applications skill covering civil/criminal/administrative litigation workflows, trial defense strategies, legal document drafting (complaints, answers, appeals, retrial petitions, enforcement applications, representation opinions, defense statements, legal opinions, etc.), arbitration (commercial & labor), mediation, enforcement procedures, evidence rules, and litigation risk assessment. Trigger when users ask about: lawsuit/litigation/trial, legal documents, court defense, evidence/cross-examination, arbitration, enforcement, legal strategy, filing a case, appeal, retrial, representation, pleading, or any legal procedural guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Integrate PocketBase as a Go library using the github.com/castle-x/goutils/pocketbase (gopb) package to build single-binary full-stack applications. Use when building Go applications that need user authentication, embedding PocketBase into Go binary, registering custom API routes, managing default users, serving embedded SPA frontend, or deploying single-binary applications. NOT for using PocketBase as a standalone separate process.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.