Microsoft Skill'leri

2974 skill · 61–120 gösteriliyor · filtrelenmiş listede aç

Sweeper PlanPlan a VS Code Sweeper agent-ready issue with the maintainer — fetch the sweeper's review record from its state repo, put the review's open decisions to the maintainer, and write a plan file (.sweeper/plans/issue-<n>.md) for them to edit in their editor; it writes no code and ends there — the sweeper-implement skill implements the approved plan. Use ONLY when the request explicitly asks for the sweeper plan — "sweeper-plan", "plan … with the sweeper", a sweeper record or agent-ready issue to plamicrosoft/vscode193,558
Symbolicate Crash DumpSymbolicate a native VS Code crash dump (.dmp) using electron-minidump. Use when given a crash dump file, asked to symbolicate a crash, resolve missing method names in a native crash backtrace, or attach Electron/Insiders/Stable symbol files. VS Code team members only; requires macOS or Linux.microsoft/vscode193,558
SyncSync the current session branch with its upstream branch, or publish the current session branch to a remote. Use when the user asks to sync a branch, pull latest changes, rebase onto upstream, push current branch, publish branch, or set upstream.microsoft/vscode193,558
Sync UpstreamUpdate a stale session branch by rebasing onto the latest origin. Use when the upstream has moved significantly and the session needs to catch up, resolving conflicts by preserving upstream changes and adapting session work to fit.microsoft/vscode193,558
TroubleshootInvestigate unexpected chat agent behavior by analyzing direct debug logs in JSONL files. Use when users ask why something happened, why a request was slow, why tools or subagents were used or skipped, or why instructions/skills/agents did not load.microsoft/vscode193,558
TroubleshootInvestigate unexpected behavior in the current Copilot agent session by analyzing its event log. Use when the user asks why something happened, why a request was slow, why a tool was or was not used, or why instructions/skills/agents did not load.microsoft/vscode193,558
Unit TestsUse when running unit tests in the VS Code repo. Covers the runTests tool, scripts/test.sh (macOS/Linux) and scripts/test.bat (Windows), and their supported arguments for filtering, globbing, and debugging tests.microsoft/vscode193,558
Update PrUpdate the pull request for the current session. Use when the user wants to push new changes to an existing PR.microsoft/vscode193,558
Update ScreenshotsUpdate the committed blocks-ci screenshot hashes after the "Screenshots & Tests" check fails, or investigate a screenshot diff reported on a PR. Use when asked to update, accept, or refresh component screenshot baselines from CI. This skill should be run as a subagent.microsoft/vscode193,558
Update SkillsCreate or update repository skills and instructions when major learnings are discovered during a session. Use when the user says "learn!", when a significant pattern or pitfall is identified, or when reusable domain knowledge should be captured for future sessions.microsoft/vscode193,558
Ux Css LayoutVS Code CSS conventions, file organization, class naming, standard sizes, SplitView/Grid layout, scrollable content, responsive layout, and text overflow/ellipsis patterns. Use when writing CSS, building layouts, or fixing text truncation issues.microsoft/vscode193,558
Ux ThemingVS Code theming, color tokens, widget styles, focus indicators, and high-contrast theme support. Use when registering colors, styling widgets with theme tokens, or ensuring HC/focus compliance.microsoft/vscode193,558
Validate Ui ScenarioUse when reproducing a UI bug or verifying a fix by driving a real VS Code window end to end and capturing evidence. Writes a scenario file, runs it against a dev build or installed Insiders, and produces a captioned video, per-step screenshots, a Playwright trace, and an HTML report to attach to an issue or pull request.microsoft/vscode193,558
Vscode Dev WorkbenchUse when the user wants to run the vscode.dev server locally and exercise the VS Code workbench or Agents window in the integrated browser against the local `microsoft/vscode` sources. Covers starting the dev server, the `vscode-quality=dev` URL, browser-driven interaction patterns, and optionally wiring up a local mock agent host for the Agents window.microsoft/vscode193,558
Add Adaptive Card FormCreate form-based UI for your Command Palette extension using Adaptive Cards. Use when asked to add forms, user input fields, toggle switches, text inputs, dropdown menus, data entry, surveys, configuration dialogs, or interactive content pages. Supports the Adaptive Cards Designer for visual form building.microsoft/PowerToys139,094
Add Dock BandAdd dock band support to your Command Palette extension for persistent toolbar widgets. Use when asked to add dock support, toolbar buttons, persistent UI widgets, taskbar integration, live-updating status displays, quick-access buttons, or always-visible controls. Supports single buttons, multi-button strips, and live-updating content.microsoft/PowerToys139,094
Add Extension SettingsAdd a settings page to your Command Palette extension. Use when asked to add settings, preferences, configuration options, toggles, text inputs, dropdowns, or user-customizable behavior. Covers ToggleSetting, TextSetting, ChoiceSetSetting, and persistence.microsoft/PowerToys139,094
Add Fallback CommandsAdd fallback commands to your Command Palette extension for catch-all search behavior. Use when asked to add search functionality, query matching, direct input handling, calculator-style evaluation, URL opening, command execution, or results that appear when no other extension matches. Used by 14 of 20 built-in extensions.microsoft/PowerToys139,094
Powertoys VerificationVerify PowerToys behavior end-to-end with the winapp CLI across two scenarios: (A) a module's release checklist against the installed build; (B) PR validation — derive each PR's checklist from its description + diff, then drive it against the installed build (a merged/shipped PR, or a whole release/hotfix set) or by building + sideloading the module when the PR isn't in the build yet (unmerged or not-yet-released). Drive each item via UIA invoke / Named Events / settings.json edits / clipboard /microsoft/PowerToys139,094
Publish ExtensionPublish your Command Palette extension to the Microsoft Store or WinGet. Use when asked to publish, distribute, release, deploy to store, create MSIX packages, submit to WinGet, set up CI/CD for releases, or automate builds with GitHub Actions.microsoft/PowerToys139,094
Release Note GenerationToolkit for generating PowerToys stable or preview release notes from GitHub milestones, commit ranges, or Azure DevOps release-candidate builds. Use when asked to create release notes, summarize milestone PRs, generate changelog, prepare a draft preview release, calculate PR deltas across main and stable, update release documentation, manage PR milestones, or prepare and validate release assets.microsoft/PowerToys139,094
Ui Tests Local VmRun PowerToys UITest.Next suites in persistent Hyper-V VMs over PowerShell Direct. Validate full default and constrained suites on Windows 10 and Windows 11, plus applicable ARM64 guests, then automatically hand implementation tasks to ui-tests-pipeline-ci for commit/push and CI validation. Local green is not end-to-end completion. Use for agentic UI-test iteration, reusable standard-user desktops, payload staging, evidence export, VM customization, clean baselines, or hosts without nested virtumicrosoft/PowerToys139,094
Ui Tests MigrationCreate, migrate, and stabilize PowerToys UI tests with Microsoft.PowerToys.UITest.Next and winappcli, through local VM success, commit/push, and CI validation. Use for ports, new UITest projects, flaky CI tests, persistent Hyper-V validation, Settings IPC authentication/test signing, Explorer/Shell selection, preview handlers, thumbnail providers, hotkey activation, stateful process lifecycle, composed WinUI/WebView visual baselines, or foreground failures. Covers APIs, scaffolding, test design,microsoft/PowerToys139,094
Ui Tests Pipeline CiMicrosoft FTE-only completion workflow for PowerToys UI-test implementation: automatically continue after successful local VM suites, commit and push scoped changes, queue CI, wait synchronously, and stabilize through Azure CLI and Azure DevOps REST APIs. No separate push/run-CI request is needed for create, migrate, or stabilize tasks unless the user limited scope. Also use for explicit UITests CI, setup preflight, 401/403 diagnosis, build reuse, recordings/artifacts, and the three-run limit. Kmicrosoft/PowerToys139,094
Winmd Api SearchFind and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).microsoft/PowerToys139,094
Wpf To Winui3 MigrationGuide for migrating PowerToys modules from WPF to WinUI 3 (Windows App SDK). Use when asked to migrate WPF code, convert WPF XAML to WinUI, replace System.Windows namespaces with Microsoft.UI.Xaml, update Dispatcher to DispatcherQueue, replace DynamicResource with ThemeResource, migrate imaging APIs from System.Windows.Media.Imaging to Windows.Graphics.Imaging, convert WPF Window to WinUI Window, migrate .resx to .resw resources, migrate custom Observable/RelayCommand to CommunityToolkit.Mvvm somicrosoft/PowerToys139,094
Playwright CliAutomate browser interactions, test web pages and work with Playwright tests.microsoft/playwright97,144
Playwright Component TestingSet up component testing with Playwright using a story gallery — scaffold stories and a gallery dev page driven by the built-in mount fixture, no dedicated component-testing runtime. Use when asked to test React or Vue components in isolation with Playwright, or to migrate off @playwright/experimental-ct-react / -vue.microsoft/playwright97,144
Playwright DevExplains how to develop Playwright - add APIs, MCP tools, CLI commands, and vendor dependencies.microsoft/playwright97,144
Playwright DevopsDevOps workflows for Playwright - CI failure analysis, workflow debugging, and release operations.microsoft/playwright97,144
Playwright Test ResultsQuery Playwright CI test results from the aggregated DuckDB database. Answers questions about flaky tests, failure rates, slow tests, and per-run/SHA/PR results without hunting through GitHub artifacts.microsoft/playwright97,144
Playwright TraceInspect Playwright trace files from the command line — list actions, view requests, console, errors, snapshots and screenshots.microsoft/playwright97,144
Playwright TriageTriage a Playwright bug report by reproducing it from the information in the issue. Use when asked to triage, reproduce, or verify a GitHub issue (a new bug report, or an existing report with a new comment).microsoft/playwright97,144
Azure Openai To ResponsesMigrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, switch from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions to responses, gpt-5 migration, azure openai python migration, chatmicrosoft/ai-agents-for-beginners76,779
Azure Openai To ResponsesMigrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, switch from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions to responses, gpt-5 migration, azure openai python migration, chatmicrosoft/ai-agents-for-beginners76,779
Azure Openai To ResponsesMigrasi aplikasi Python dari Azure OpenAI Chat Completions ke Responses API. Meliputi migrasi klien AzureOpenAI/AsyncAzureOpenAI ke endpoint v1, penstriman, alat, output berstruktur, multi-sesi, pengesahan EntraID, dan pemeriksaan keserasian model. Berfokus pada Python dan khusus untuk Azure OpenAI. GUNA UNTUK: migrasi ke responses API, bertukar dari chat completions, openai responses, peningkatan openai SDK, migrasi responses API, berpindah dari completions ke responses, migrasi gpt-5, migrasi microsoft/ai-agents-for-beginners76,779
Azure Openai To ResponsesShift Python apps dem from Azure OpenAI Chat Completions go Responses API. E cover AzureOpenAI/AsyncAzureOpenAI client shift go v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, plus model compatibility checks. Na Python-focused, Azure OpenAI-specific. USE FOR: shift go responses API, change from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions go responses, gpt-5 migration, azure openai python migration, chat complemicrosoft/ai-agents-for-beginners76,779
Azure Openai To ResponsesIlipat ang mga Python app mula sa Azure OpenAI Chat Completions papuntang Responses API. Saklaw nito ang pag-migrate ng AzureOpenAI/AsyncAzureOpenAI client sa v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, at mga pagsusuri sa compatibility ng modelo. Nakatuon sa Python, para sa Azure OpenAI. GAMITIN PARA SA: pag-migrate sa responses API, paglipat mula sa chat completions, openai responses, pag-upgrade ng openai SDK, migration sa responses API, paglipat mula completiomicrosoft/ai-agents-for-beginners76,779
Deploying Scalable AgentsTake a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Mimicrosoft/ai-agents-for-beginners76,779
Deploying Scalable AgentsTake a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Mimicrosoft/ai-agents-for-beginners76,779
Deploying Scalable AgentsTake one working agent prototype go scalable, observable production deployment for Microsoft Foundry. E cover deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy one agent go production, scale one agentmicrosoft/ai-agents-for-beginners76,779
Deploying Scalable AgentsDalhin ang isang gumaganang prototype ng agent sa isang scalable, observable na production deployment sa Microsoft Foundry. Saklaw nito ang mga deployment pattern (client-hosted, hosted agents, agent workflows), ang lifecycle ng agent, model routing, response caching, evaluation gates, human-in-the-loop approval, observability gamit ang OpenTelemetry, cost optimisation, at smoke-testing ng mga deployed na agent gamit ang AI Smoke Test action. Batay sa Lesson 16 ng AI Agents for Beginners. GAMITImicrosoft/ai-agents-for-beginners76,779
Jupyter NotebookUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.microsoft/ai-agents-for-beginners76,779
Jupyter Notebookاستخدمه عندما يطلب المستخدم إنشاء أو تهيئة أو تعديل دفاتر Jupyter (`.ipynb`) للتجارب أو الاستكشافات أو الدروس التعليمية؛ فضّل القوالب المضمّنة وقم بتشغيل سكربت المساعدة `new_notebook.py` لتوليد دفتر بدءٍ نظيفmicrosoft/ai-agents-for-beginners76,779
Jupyter NotebookИзползвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (`.ipynb`) за експерименти, изследвания или уроци; предпочитайте вградените шаблони и стартирайте помощния скрипт `new_notebook.py`, за да генерирате чист начален файл на тетрадка.microsoft/ai-agents-for-beginners76,779
Jupyter Notebookব্যবহার করুন যখন ব্যবহারকারী পরীক্ষার, অনুসন্ধানের, বা টিউটোরিয়ালের জন্য Jupyter নোটবুকগুলি (`.ipynb`) তৈরি, স্ক্যাফোল্ড, বা সম্পাদনার অনুরোধ করে; বান্ডিলকৃত টেমপ্লেটগুলিকে অগ্রাধিকার দিন এবং একটি পরিষ্কার সূচনা নোটবুক তৈরি করার জন্য সহায়ক স্ক্রিপ্ট `new_notebook.py` চালান।microsoft/ai-agents-for-beginners76,779
Jupyter NotebookPoužijte, když uživatel požádá o vytvoření, inicializaci nebo úpravu Jupyter notebooků (`.ipynb`) pro experimenty, průzkumy nebo návody; upřednostněte zabudované šablony a spusťte pomocný skript `new_notebook.py`, abyste vygenerovali čistý výchozí notebook.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookBruges når brugeren beder om at oprette, opsætte eller redigere Jupyter-notebooks (`.ipynb`) til eksperimenter, udforskninger eller vejledninger; foretræk de medfølgende skabeloner og kør hjælpeskriptet `new_notebook.py` for at generere en ren start-notebook.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookVerwenden Sie, wenn der Benutzer darum bittet, Jupyter-Notebooks (`.ipynb`) für Experimente, Erkundungen oder Tutorials zu erstellen, aufzusetzen oder zu bearbeiten; bevorzugen Sie die mitgelieferten Vorlagen und führen Sie das Hilfsskript `new_notebook.py` aus, um ein sauberes Start-Notebook zu erzeugen.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookΧρησιμοποιήστε όταν ο χρήστης ζητά να δημιουργήσει, να δομήσει ή να επεξεργαστεί σημειωματάρια Jupyter (`.ipynb`) για πειράματα, εξερευνήσεις ή σεμινάρια; προτιμήστε τα συνημμένα πρότυπα και εκτελέστε το βοηθητικό σκριπτ `new_notebook.py` για να δημιουργήσετε ένα καθαρό αρχικό σημειωματάριο.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookUsar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (`.ipynb`) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar `new_notebook.py` para generar un cuaderno inicial limpio.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookKasuta, kui kasutaja palub luua, üles ehitada või redigeerida Jupyteri märkmikke (`.ipynb`) katsetuste, uurimiste või juhendite jaoks; eelista kaasasolevaid malle ja käivita abiskript `new_notebook.py`, et genereerida puhas algne märkmik.microsoft/ai-agents-for-beginners76,779
Jupyter Notebookزمانی استفاده شود که کاربر درخواست ایجاد، ساختاردهی یا ویرایش دفترچه‌های Jupyter (`.ipynb`) برای آزمایش‌ها، کاوش‌ها یا آموزش‌ها را دارد؛ از قالب‌های همراه ترجیحاً استفاده کنید و اسکریپت کمکی `new_notebook.py` را اجرا کنید تا یک دفترچهٔ آغازین تمیز تولید شود.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookKäytetään, kun käyttäjä pyytää luomaan, alustamaan tai muokkaamaan Jupyter-muistikirjoja (`.ipynb`) kokeita, tutkimuksia tai opetusohjelmia varten; käytä mieluummin mukana olevia mallipohjia ja suorita apuohjelmaskripti `new_notebook.py` luodaksesi puhtaan aloitusmuistikirjan.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookÀ utiliser lorsque l'utilisateur demande de créer, structurer ou modifier des notebooks Jupyter (`.ipynb`) pour des expériences, explorations ou tutoriels ; privilégiez les modèles fournis et exécutez le script d'aide `new_notebook.py` pour générer un notebook de départ propre.microsoft/ai-agents-for-beginners76,779
Jupyter Notebookउपयोग तब करें जब उपयोगकर्ता प्रयोगों, खोजों, या ट्यूटोरियल्स के लिए Jupyter नोटबुक (`.ipynb`) बनाने, स्कैफोल्ड करने, या संपादित करने के लिए कहे; पैकेज किए गए टेम्पलेट्स को प्राथमिकता दें और एक साफ शुरुआत वाला नोटबुक बनाने के लिए सहायक स्क्रिप्ट `new_notebook.py` चलाएँ।microsoft/ai-agents-for-beginners76,779
Jupyter NotebookHasználható, amikor a felhasználó Jupyter notebookok (`.ipynb`) létrehozását, felépítését vagy szerkesztését kéri kísérletekhez, felfedezésekhez vagy oktatóanyagokhoz; részesítse előnyben a csomagolt sablonokat, és futtassa a segédprogramot `new_notebook.py`, hogy egy tiszta kezdő notebookot generáljon.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookGunakan saat pengguna meminta untuk membuat, membangun kerangka, atau mengedit notebook Jupyter (`.ipynb`) untuk eksperimen, eksplorasi, atau tutorial; utamakan templat bawaan dan jalankan skrip pembantu `new_notebook.py` untuk menghasilkan notebook awal yang bersih.microsoft/ai-agents-for-beginners76,779
Jupyter NotebookUsa quando l'utente chiede di creare, strutturare o modificare notebook Jupyter (`.ipynb`) per esperimenti, esplorazioni o tutorial; privilegia i modelli inclusi ed esegui lo script di supporto `new_notebook.py` per generare un notebook di partenza pulito.microsoft/ai-agents-for-beginners76,779