'age' 검색 결과

Send signed messages between AI agents, check inboxes, and reply to requests. Supports file attachments, message types, and priorities, with basic messaging running locally and separate identities for each agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sending work requests to another agent
• Checking an agent inbox and replying
• Handing off context with attached files

Connect agentmemory to coding agents such as Claude Code and Codex while preserving existing server settings. It guides configuration, host restarts, and checks that memory tools are available and can save and retrieve information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting agentmemory to a coding agent
• Checking supported agents and connection methods
• Investigating an incorrect configuration path

Audit website images for search visibility and loading performance, then prioritize fixes. Check descriptive text, file sizes, and loading settings, convert files to WebP or AVIF, and add creator and copyright metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit product and article images for SEO issues
• Convert large images to WebP or AVIF
• Fix image loading settings and layout shifts

Guides image classification and search with OpenAI's CLIP by comparing images with text descriptions, without additional training. Includes batch processing, image-text matching, and category-based checks for potentially inappropriate images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify images using text labels without additional training
• Search an image collection with natural-language descriptions
• Compare how closely images match text descriptions

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

Move NuGet package versions from individual .NET projects into a shared management file. The skill audits version conflicts, preserves project conditions, validates builds before and after conversion, and produces comparison files and a migration report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adopting central NuGet package version management
• Aligning inconsistent package versions across projects
• Moving shared version properties into central declarations

Manage Python and R packages for notebook work. Resolve missing-package errors, check installed versions, install into the selected runtime, and restart the kernel when needed, with guidance on using separate environments for different dependency requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolve missing-package errors in a notebook
• Check installed package versions
• Separate project dependencies into a named environment

Get guidance on using APM, a package manager for AI agents, to install and share reusable instructions, skills, and server configurations. Covers dependencies, package creation, authentication, policy checks, CLI commands, and troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install and restore AI-agent packages
• Configure MCP and LSP servers
• Create and share APM packages

Audit a specific web page using Google Search Console data and its live HTML. Assess content quality, search intent, readability, metadata, structured data, and internal links, then produce a scored SEO report with suggested fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing the SEO of a specific blog post
• Checking content and technical issues on a landing page
• Planning page improvements using search performance data

Build Python agents with Agentica SDK using function decorators or agent instances. Examples cover conversation memory, external tools, MCP connections for tool access, multi-agent coordination, typed results, and logging to help implement and debug agent behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add agent behavior to existing Python functions
• Build a chatbot that remembers conversation history
• Connect agents to external tools through MCP

Microsoft Entra Agent ID (preview) for creating OAuth2-capable AI agent identities via Microsoft Graph beta API. Covers Agent Identity Blueprints, BlueprintPrincipals, Agent Identities, required permissions, sponsors, and Workload Identity Federation. Includes Microsoft Entra SDK for AgentID (containerized sidecar) for polyglot agent authentication (Docker/Kubernetes), 3P agent integration, autonomous and interactive agent patterns. Triggers: "agent identity", "agent id", "Agent Identity Blueprint", "BlueprintPrincipal", "entra agent", "agent identity provisioning", "Graph agent identity", "entra sidecar", "agent id sidecar", "auth sidecar", "3P agent", "third-party agent identity", "polyglot agent auth".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Authoring and managing Agentforce agent definitions using the declarative Agent Script DSL (.agent files) and associated metadata types. Use when creating agents in source control, debugging agent metadata, or understanding the metadata lifecycle of GenAiPlugin/GenAiPlanner/BotVersion types. Triggers: 'how do I deploy an Agentforce agent using source control', 'what metadata types make up an Agentforce agent', 'agent test run command failing in CI pipeline', 'GenAiPlugin vs GenAiPlanner metadata relationship'. NOT for Apex-based agent actions (use custom-agent-actions-apex). NOT for UI-based agent creation (use agentforce-agent-creation).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

“로그인 버튼을 눌러 주세요”처럼 자연어로 브라우저 조작을 요청합니다. 요소를 지정하기 어려운 화면에 적합하며 필요한 설정이 없으면 다른 조작 방식으로 전환합니다.

• 말로 설명한 버튼 클릭
• 검색어 입력 후 제출
• 요소 식별 정보가 바뀌는 화면 조작

Automate Agenty tasks through Rube MCP, a connection to external tools. The skill discovers available operations and their required inputs, checks the Agenty connection, and executes tasks using the tools it finds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Agenty operations
• Running Agenty tasks through an agent
• Processing multiple Agenty operations together

Plan large sets of search-focused pages using templates and data. The skill helps assess keyword demand, design useful page variations, organize internal links, choose a publishing platform, and check quality before launch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning service pages for different locations
• Designing comparison page templates
• Building a directory from existing data

Find npm and PyPI packages that imitate trusted package names to exploit typing mistakes. Compare spelling similarity, publication dates, downloads, and maintainer details, then rank suspicious candidates and produce reports or blocklists for further review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing project dependencies for misleading package names
• Monitoring names similar to important packages
• Investigating a suspected misspelled package installation

Helps configure persistent storage for GKE applications, including disk selection, storage requests, shared files through Filestore, and volume expansion. It also explains how disk compatibility and zone placement affect workload scheduling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating persistent storage for a GKE application
• Sharing files across multiple Pods with Filestore
• Expanding an existing storage volume

Create specialized Agent Zero profiles by defining their roles, working methods, and delegation criteria. The skill prepares configuration files and instructions, with optional custom tools, extensions, and model preset selection when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a specialist agent for data analysis
• Define when to delegate work to an agent
• Customize an agent's workflow and response format

Automate Agenty tasks through Rube MCP, a connection to external tools. The skill discovers available operations and their required inputs, checks the Agenty connection, and executes tasks using the tools it finds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Agenty operations
• Running Agenty tasks through an agent
• Processing multiple Agenty operations together

Configure Django file storage on AWS S3 using django-storages and boto3. Separate public and private files, create temporary download or upload links, configure CloudFront delivery, and test storage behavior without accessing real S3 buckets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving Django static files and uploads to S3
• Separating public files from private documents
• Creating temporary download and direct upload links

Turn an idea, existing code, or a previous Codex conversation into a runnable OpenAI Agents SDK app. Supports local verification, focused evaluations of agent behavior, and local deployment through the Deployment Manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a runnable agent prototype from an idea
• Adapt existing code into an agent app
• Turn a previous Codex conversation into an app

Manage a shared skill library for Claude Code, Codex, Cursor, and other agents. Search, install, update, and deploy skills to selected agents, organize reusable groups and tags, and check where each skill is available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy shared skills to Claude Code and Codex
• Check and update installed skills
• Organize skills with tags and reusable groups

Switch the Manager Agent's primary language model with a script that checks connectivity before saving configuration. You can also set how much context the model accepts and whether extended thinking is enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Change the Manager's saved primary model
• Correct a model's context window setting
• Disable extended thinking for a model