“age”的搜索结果

使用AgentDB为AI智能体实现会话历史、用户偏好和有效交互模式的保存与检索，分别管理短期和长期记忆，让后续会话能够继续引用。

• 为聊天系统添加会话历史
• 跨会话记住用户偏好
• 复用成功的交互模式

帮助调整AgentDB的数据压缩、搜索索引、缓存和批量操作，并测量性能，以改善内存占用与搜索速度，权衡速度、精度和内存需求。

• 减少AgentDB内存占用
• 兼顾精度与搜索速度
• 规划数百万向量的配置

Create and update prompt-based agents in Azure AI Foundry from a local JSON manifest, a file listing agent definitions. The skill prepares synchronization scripts, pushes instructions to the service, and verifies registered agents.

中文简介正在准备中。当前显示英语简介。

• Registering multiple agents from JSON definitions
• Synchronizing changes to agent instructions
• Preparing a manifest and synchronization script

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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

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

Test how AI agents get started with a product, SDK, or skill by having them attempt real tasks independently. Receive an HTML report with execution records, scores, and concrete suggestions for improving setup and documentation.

中文简介正在准备中。当前显示英语简介。

• Checking whether agents can follow a product's getting-started guide
• Testing whether a SKILL.md delivers its advertised result
• Comparing SDK onboarding across languages and models

Inspect, search, create, and edit data exposed as files through Mirage. Guides agents through the appropriate tools, reading before editing, and retrying changes when a file has been updated since it was read.

中文简介正在准备中。当前显示英语简介。

• Find files in mounted cloud or database data
• Read and edit an existing virtual file
• Create a new file through Mirage

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".

中文简介正在准备中。当前显示原文说明。

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.

中文简介正在准备中。当前显示原文说明。

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).

中文简介正在准备中。当前显示原文说明。

用“点击登录按钮”等自然语言请求浏览器操作，适合难以准确定位页面元素的场景。缺少必要配置时，会给出提示并切换为直接指定元素的操作方式。

• 点击用自然语言描述的按钮
• 输入搜索词并提交
• 操作元素标识经常变化的页面

通过Rube MCP自动执行Agencyzoom日常操作。先查找可用工具及最新输入格式，确认连接状态后再执行所请求的任务。

• 查询Agencyzoom可用操作
• 确认连接后执行任务
• 批量执行多项操作

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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

• 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.

中文简介正在准备中。当前显示英语简介。

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