Alibaba Cloud AgentRun Highlights Skill and MCP Tool Assets for Practical AI Agents

High-Frequency AI Prompts for Work, Learning, and Teaching guide

High-Frequency AI Prompts for Work, Learning, and Teaching

Practical AI Side Project Course guide

Practical AI Side Project Course

From Chat Boxes to Personal AI Companions: AI Assistants Are Entering the Desktop Execution Era

AI assistants are moving from answering questions toward continuing real tasks. AI agents, MCP tool ecosystems, personal memory, and local workbenches are pushing this shift together. For users, the real value is not another chat box, but less repeated context setup and more continuity from thinking to doing.

Gemini Skills Begin Rolling Out as Workspace Skills Are Delayed

Google’s latest rollout update separates two things that are easy to confuse: skills in the Gemini app and skills inside Workspace. The app rollout begins gradually and is expected to finish by mid-November, while the Workspace launch is delayed pending a revised timeline. For creators, the practical opportunity is to prepare a reusable writing routine rather than assume a scheduled publishing system is already available. This article provides a bounded article-rewrite example, explains where the documented Skills entry point lives, and distinguishes reusable instructions from background scheduling. It also flags account requirements and features still promised for later. The example is a preparation checklist, not a claim of hands-on access or automatic publication.

ElevenLabs Expands Its MCP Connector to Voice, Music, Images, and Video

ElevenLabs updated its MCP connector announcement on October 12, 2026. Through an OAuth sign-in, users can access speech generation, transcription, dubbing, music, sound effects, images, and video from compatible assistants such as Claude, ChatGPT, and Cursor, with outputs stored in an ElevenCreative workspace. The connector removes manual API-key handling and can expose more than 50 models, but that does not remove billing, permission, privacy, or rights obligations. This article gives a minimum workflow from connection to publication: choose the correct workspace, review requested scopes, restrict available tools, test with non-sensitive material, inspect model and cost records, verify consent and asset rights, edit the result, and require a human approval before anything is published externally.

GitHub Copilot Local Sandboxing Is Generally Available

GitHub made local sandboxing generally available on October 7, 2026 for GitHub Copilot CLI, the GitHub Copilot app, and VS Code sessions that use Agent Host. The feature applies operating-system controls to agent-run commands so users can restrict filesystem paths, network access, Git credentials, and supported local tools. GitHub's documentation also sets important boundaries: local sandboxing is off by default, CLI and app settings are separate, remote MCP servers are not sandboxed, and some in-process file tools enforce policy on a best-effort basis rather than through the operating-system sandbox. This guide focuses on verification rather than the toggle itself: enable the feature, test denied reads and writes, test blocked network access, confirm credential masking, inspect MCP placement, and configure fail-closed behavior where the organization requires enforcement.

Google Cloud Introduces the Gemini Agent for Work

Google Cloud introduced the Gemini agent at Gemini at Work on October 8, 2026. Google describes it as a universal work agent that can use an organization's business context, plan work, call skills and tools, connect to business systems, and return completed results inside documents, inboxes, and developer environments. The announcement also highlights model selection, cost controls, security, administration, and governance. Those claims define a product direction, not automatic permission to connect every data source. Before rollout, start with one bounded workflow, list the records and tools the agent can reach, separate read from write access, cap spend, require confirmation before messages or irreversible changes, verify the destination of generated work, and keep a human owner for exceptions and acceptance.

GitHub Copilot for JetBrains Adds MCP Startup and Model Controls

GitHub's October 10, 2026 Copilot for JetBrains update adds enterprise-managed default models, a Fix action that sends diagnostics into inline chat, and a setting that can prevent Copilot and Claude MCP servers from starting automatically. It also improves account switching, conversation navigation, and reliability across sessions, customizations, and worktrees. The release ends support for JetBrains IDE 2025.1, so users need version 2025.2 or later. This guide turns the announcement into a practical acceptance test: update the IDE and plugin, record the selected account and model, keep unneeded MCP servers off, inspect every requested tool, test one harmless diagnostic fix, and confirm that agent sessions still target the intended project and worktree.

阿里云开发者社区：光聪明还不够，Agent “真干活”还缺一套趁手的工具，2026年6月24日

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阿里云帮助中心：创建 MCP 工具