'copilot' 검색 결과

Define security controls for AI coding agents used by a team. Covers command and file permissions, secret scanning, isolated execution environments, code review gates, and audit trails, with configuration examples to adapt.

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• Set team rules before introducing AI coding agents
• Restrict access to credentials and infrastructure files
• Design an isolated environment for agent execution

Translate an English MkDocs documentation set into a chosen language while preserving folder structure and Markdown formatting. Update shared content references, navigation labels, notice labels, and language configuration, and check that every source file has been translated.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add another language to English MkDocs documentation
• Translate shared content alongside documentation pages
• Update multilingual navigation and notice labels

Prevent recurring coding-agent mistakes by turning repository evidence into specific instructions, automated checks, regression tests, and failure records. Also checks whether guidance has become outdated and documents changes, verification results, and follow-up work in an adoption report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create agent instructions tailored to a repository
• Turn recurring mistakes into regression checks and failure records
• Detect outdated guidance and broken verification commands

Analyze local documents or public web pages and produce a Word report with source screenshots beside each factual claim. Yellow highlights identify the supporting passages so readers can visually check the analysis against the original.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review an analysis alongside its source passages
• Analyze Word documents or PDFs with visual evidence
• Turn a public web page analysis into a Word report

Configure GitHub Dependabot to keep dependencies, the packages a project relies on, updated. Organize update pull requests into groups, set schedules and exclusion rules, and configure security updates across projects with multiple packages or package systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create or revise dependabot.yml
• Group dependency updates into fewer pull requests
• Configure updates across a monorepo

Set up a dedicated workspace for a new workstream, with a journal and a folder for structured signals. Record its purpose, scope, and first steps so later sessions can pick up the context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a new workstream
• Giving a topic its own workspace and history
• Preparing context for the next session

Builds an evidence map for a disputed decision, linking supporting evidence, counterevidence, qualifications, and missing facts to precise source passages. Produces a structured JSON artifact that makes the reasoning and unresolved questions available for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing evidence for a disputed technical choice
• Synthesizing research with conflicting findings
• Reviewing a proposal's evidence and unresolved questions

Design, refine, or review web and iOS interfaces using the product’s existing components and visual style. Consult relevant screen examples when useful, then inspect the result for layout problems, inaccessible controls, and broken interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing screens that fit an existing product
• Refining a dashboard or simplifying an interface
• Reviewing layouts and interactions before release

Guides development of ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK, covering server tools, React interfaces, and shared state. This skill is deprecated and directs users to mcp-app-builder.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a ChatGPT app with interactive widgets
• Implement MCP server tools and React widgets
• Manage widget state and context shared with ChatGPT

Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an MCP server's tools and data resources
• Implementing reusable prompts and response formats
• Adding interactive React widgets to an MCP server

Guides development of MCP servers that let AI access external actions and data using mcp-use. Covers project setup, tools, reusable prompts, interactive React interfaces, authentication, validation, and deployment through task-specific reference guides.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting an MCP server project with mcp-use
• Adding tools and read-only data resources
• Building interactive React widgets

Reorganize long AGENTS.md, CLAUDE.md, and similar instruction files into a short main file with links to topic-specific documents. Identifies conflicting rules and deletion candidates, then checks links and coverage so instructions remain organized and accessible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Shorten an oversized AGENTS.md
• Split CLAUDE.md into topic-specific files
• Resolve conflicting agent instructions

Route data analysis, large-file processing, and web retrieval through context-mode tools, returning only relevant results to the conversation. This helps preserve the context window, the limited amount of information an AI can work with at once.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Counting or filtering large datasets
• Retrieving relevant information from web pages
• Collecting and searching results from multiple commands

Compare major AI coding tools and consult practical guidance on prompts, project instructions, debugging, workflows, and costs. Use the reference to choose suitable tools and identify why an AI-assisted coding task is stuck.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing AI coding tools for a task
• Improving prompts and project instructions
• Troubleshooting stalled AI coding tasks

Select technologies for AI and machine learning features in .NET 8+ applications. Get task-specific plans or implementation guidance for structured predictions, text generation, document retrieval, tool-using agents, and running pretrained models locally or in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing libraries for classification or prediction in .NET
• Adding text generation or summarization to an application
• Designing document retrieval with source-backed AI answers

Validate changes to Squad coordinator and agent templates through real sessions using a locally built CLI. Check generated files, agent behavior, and saved state, then record evidence, scenario verdicts, and progress for pull request reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validating coordinator prompt and agent charter changes
• Checking state persistence across branch changes
• Testing initialization in empty repositories or monorepos

Coordinate independent Squad AI teams across repositories using procedures for questions, review requests, and task delegation. Choose between direct CLI sessions, reading team metadata, and asynchronous requests based on repository access and task needs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Asking another Squad about architecture or past decisions
• Requesting a pull request review across repositories
• Delegating work to another repository's AI team

Use this skill when a user wants to create, run, or analyze evaluation suites for Microsoft 365 Copilot declarative agents with the public @microsoft/m365-copilot-eval CLI. Trigger on intents such as "evaluate my agent", "test my agent", "run my evals", "create eval prompts", "add multi-turn tests", "tune evaluator thresholds", "why is my agent failing", or "set up eval environment variables".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "microsoft_agents", "AgentApplication", "start_agent_process", "TurnContext", "Copilot Studio client", "CloudAdapter".

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Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "Microsoft.Agents", "AddAgentApplicationOptions", "AgentApplication", "AddAgentAspNetAuthentication", "Copilot Studio client", "IAgentHttpAdapter".

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Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up GitHub Copilot OpenTelemetry capture: configure the VS Code export settings, generate a local Grafana stack and dashboard, or generate the Azure collector, infrastructure, and dashboard for an organization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Orchestrate Project Osmos for long-running Fabric and OneLake data-engineering outcomes, including task status, messages, follow-ups, cancellation, and deletion. Osmos tasks are remote service tasks, not local background agents. In Fabric portal Copilot, direct interaction is unsupported; point users to GitHub Copilot CLI. Use spark-cli for direct non-Osmos Spark work. Triggers: "Project Osmos", "Project Osmos task status", "check my Osmos task".

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Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page. Generates per-target service code (CSRF-handled) and AI site settings; delegates Web API settings, table permissions, and web roles to `/integrate-webapi` and `/create-webroles`. Use whenever a user wants AI/Copilot output that condenses Dataverse content on a Power Pages site — an AI summary, AI-generated overview or "key insights" across a record or list, a search-results summary, a case/incident summary, or recommendation-chip refinement — even when phrased as "AI-generated paragraph", "insights", or "overview". Do NOT use for: generative pages in model-driven apps (use the model-apps `genpage` skill), Copilot Studio agents/chatbots, summarizing documents or PDFs, Power BI dashboards, plain keyword search with no AI summary, or plain Dataverse CRUD (use `/integrate-webapi`).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.