- Zavalivesite DemoBuild / prep / run / teardown lifecycle for the "SQL and AI for Developers in Action" (azuresqlcontainer) live-site demo — the Azure SQL preview container, one-command demo prep, idempotent container start, connectivity test, and teardown. Use when the user asks to prep/build/start/recreate/test/reset/teardown the live site (Zava On-Call Console) demo environment. NOT for incident triage — that is the live-site-sql skill.microsoft/sqlaiinaction3
- Agentic OptimizationAnalyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data.microsoft/code-optimizations-skills2
- Ai News Briefing어제(전일) Microsoft, AWS, Google, Anthropic의 AI 관련 최신 뉴스를 수집·정리하여 한국어 리포트로 작성하고, Word 문서와 PowerPoint 슬라이드로 만들어 사용자에게 이메일로 발송한다. 원문 제목은 영어로 병기한다. Use when user asks "어제 AI 뉴스 정리해줘", "아침 AI 브리핑", "AI 대형 벤더 동향 리포트", "Microsoft AWS Google Anthropic 최신 소식", "어제자 AI 업계 소식 보내줘", "AI 뉴스 브리핑 보내줘". Do NOT use for: 일반 IT 뉴스 요약, 특정 제품 심층 분석, 실시간(오늘) 뉴스 모니터링, AI 외 산업 동향.microsoft/KoreaCopilotAgent2
- Daily Work Wrapup매일 오후 7시(KST)에 실행되는 데일리 업무 마무리 브리핑. 오늘 진행된 업무(회의·이메일·Teams 챗·문서)와 내일 예정된 업무를 정리해 한국어 Word 문서(.docx)로 만들고, 사용자 본인 메일로 발송한다. Use when user asks to "데일리 브리핑", "업무 정리", "오늘 뭐 했지", "daily wrapup", "하루 마무리 정리", "오늘 한 일 정리해줘", "내일 일정 정리", "오늘 업무 요약". Do NOT use for: 아침 브리핑(daily-briefing 사용), 특정 회의 요약 (meeting-intel 사용), 주간/월간 보고서(stakeholder-comms 사용).microsoft/KoreaCopilotAgent2
- Deck Design Studio서로 완전히 다른 20가지 디자인 스타일로 발표 덱을 만드는 Copilot Cowork 스킬. 사용자가 'design 03으로 발표 덱 만들어줘', 'Glass Panels 스타일로'처럼 디자인을 지정하면 해당 design 파일을 읽어 그 팔레트·폰트·모티프·레이아웃을 타이틀(표지)부터 본문까지 정확히 적용한다. 같은 내용도 디자인 번호만 바꾸면 완전히 다른 룩으로 생성된다. 다크/라이트 다양하게 구성. 회사·행사 템플릿을 새 디자인 번호로 추가해 재사용할 수 있다. Use when user asks '발표 덱/PPT/슬라이드 만들어줘', 'design NN으로', '디자인 골라서 덱 만들어줘', '회사 템플릿을 디자인으로 추가해줘'. Do NOT use for: 단순 텍스트 요약, Word(.docx) 문서 작성.microsoft/KoreaCopilotAgent2
- Deep AnalysisCross-resource deep analysis of a specific distributed trace. Takes an operation ID and correlates telemetry across multiple Application Insights resources to build a unified picture of a distributed operation.microsoft/code-optimizations-skills2
- Demo Video SubtitleCopilot·Microsoft 365 데모 영상에 한국어 자막을 다는 Skill. ffmpeg으로 프레임을 뽑아 화면(어떤 앱·어떤 에이전트·어떤 동작인지)을 vision으로 정확히 파악하고, Microsoft 공식 제품·기능 용어(리서치 도구/Researcher, Copilot in Word·PowerPoint·Excel, 분석가/Analyst, Cowork, Work IQ 등)를 정확히 반영해 타임코드 SRT를 만든 뒤, 영상에 구워넣거나(soft mux) 사이드카 SRT로 산출한다. 트리거: '데모 영상 자막', '이 영상에 자막 달아줘', 'subtitle/캡션', 'SRT 만들어줘', 'Copilot 데모 자막'. 화면 녹화 데모(리서치→Word→PowerPoint 흐름 등)에 최적화. 제외: 순수 음성 받아쓰기만 필요한 오디오 전용 파일(그건 화면 파악 단계를 생략).microsoft/KoreaCopilotAgent2
- Download Profile TraceDownload a profiler trace file from Application Insights Profiler. Use this when asked to download, save, or export a profiler trace or .etl/.nettrace file.microsoft/code-optimizations-skills2
- Download SnapshotDownload a snapshot dump file from Application Insights Snapshot Debugger. Use this when asked to download, save, or export a snapshot or .dmp file for offline debugging.microsoft/code-optimizations-skills2
- Enable ProfilerGuide users through enabling the Application Insights Profiler for .NET on their platform. Use this when asked to enable the profiler, set up profiling, or when profiler data is missing.microsoft/code-optimizations-skills2
- Enable Snapshot DebuggerGuide users through enabling the Application Insights Snapshot Debugger for .NET on their platform. Use this when asked to enable the snapshot debugger, set up snapshot collection, or when snapshot data is missing.microsoft/code-optimizations-skills2
- Error ExplorationExplore errors in Application Insights — exceptions, failed requests, and failed dependencies. Use this when asked to find errors, investigate failures, identify reliability issues, or recommend which errors to fix.microsoft/code-optimizations-skills2
- Get Profile HotpathFetch and display the hot path from an Application Insights Profiler trace. Use this when asked to get the profiler hot path, call tree, or trace analysis for an App Insights resource.microsoft/code-optimizations-skills2
- Get Snapshot Debug InfoFetch exception details, call stack, and variable values from an Application Insights Snapshot Debugger snapshot. Use this when asked to inspect a snapshot, view exception info, debug an exception, or see variable values from a crash.microsoft/code-optimizations-skills2
- Korean Proofread회사에서 쓰는 한국어 문서를 두 축으로 다듬는 교열 스킬. (1) 회사 문서답게 정확하게: 국립국어원 어문 규범과 공공언어 원칙에 따라 맞춤법, 띄어쓰기, 문법, 주어와 서술어의 호응, 높임법, 문서 유형별 형식(공문, 보도자료, 이메일, 보고서, 발표 자료, 사내 공지)을 점검한다. (2) AI 티 안 나게: 줄표와 가운뎃점 남용, 번역투, 상투어, 균질한 리듬 같은 'AI가 쓴 티'를 걷어내 자연스러운 한국어로 만든다. 논리 허점도 함께 본다. 한글 산출물을 만들거나 맞춤법, 문법, 교열, 검수, 윤문, 가독성, AI 티 제거를 요청할 때 적용. /pptx, /docx, /malgun-typography, /weekly-report의 최종 QA 단계로 쓴다. 트리거 예: 'AI 티 없애줘', '이 공문 다듬어줘', '보도자료 검수', '자연스럽게 고쳐줘', '맞춤법 확인'. 제외: 번역 자체, 내용 추가·삭제를 동반한 재집필.microsoft/KoreaCopilotAgent2
- Perf OptimizationGuide for analyzing performance issues based on profiler and code optimizations, including CPU, latency, and throughput. Use this when asked to investigate performance bottlenecks or optimize application performance.microsoft/code-optimizations-skills2
- Pr ReviewLocal PR review in your session — exhaustive (5 independent review lenses with quality synthesis) or prompt-shot (single-pass five-check framework). No GitHub comment posted. Use when the user wants a local code review of a branch diff, staged changes, or PR before pushing/merging.microsoft/amplifier-app-actions2
- Pre Push ReviewPre-PR self-review using the same criteria as the automated review-pr-opened GitHub Action. Catches stale mock patch targets, dead imports with noqa suppressors, fixture env-var leaks, and silent ineffective patches BEFORE they are flagged by CI. Run before pushing any branch to a PR on microsoft/amplifier-resolve. Triggers on: "review before push", "pre-PR check", "self-review before pushing", "catch issues before CI", "is this ready to push".microsoft/amplifier-app-actions2
- Today Wisdom하루에 어울리는 명언 하나를 골라 한국어와 원문, 저자, 짧은 해설과 함께 전해주는 스킬. 동기부여·지혜·일과 성공 등 다양한 주제를 섞어서 제공한다. Use when user asks to "오늘의 명언", "명언 하나", "동기부여 해줘", "오늘의 한마디".microsoft/KoreaCopilotAgent2
- Agent BrowserDrive a real browser to inspect or interact with a web page or app — navigate, take screenshots, read console and network, fill simple forms — for verification tasks, not unattended automation.microsoft/amplifier-app-paperclip1
- Ai Governance Session BuilderCreate, update, and audit guided AI governance co-implementation session kits in this repository. Use for a session, implementation module, implementation runbook, delivery-lead content, or Marp briefing. It keeps schema-version 2 manifests, implementation artifacts, safety checks, sources, and decks aligned.microsoft/frontier-ai-governance-rvas1
- Azure AiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.microsoft/frontier-ai-governance-rvas1
- Azure AigatewayConfigure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.microsoft/frontier-ai-governance-rvas1
- Azure AigatewayConfigure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.microsoft/azcapman1
- Azure Capacity ManagementThis skill should be used when the user asks about Azure capacity management, quota operations, or capacity planning for SaaS ISVs running workloads in their own Azure subscriptions under EA or MCA. Also covers AI/GPU model quota and capacity (Azure OpenAI/Foundry TPM, PTU, cross-region capacity discovery), VM capacity reservations, region/SKU availability lookups, capacity-forecasting-scoped cost data (cost forecast/query APIs, not general cost optimization), Azure AI Gateway/APIM rate-limitingmicrosoft/azcapman1
- Azure CostAzure cost management: query costs, forecast spending, optimize to reduce waste. WHEN: "Azure costs", "Azure bill", "cost breakdown", "how much am I spending", "forecast spending", "optimize costs", "reduce spending", "orphaned resources", "rightsize VMs", "cost spike", "reduce storage costs", "AKS cost". DO NOT USE FOR: deploying resources, provisioning, diagnostics, or security audits.microsoft/azcapman1
- Azure Cost Health CheckOpen Azure Cost Health Check for read-only cost, forecast, budget, governance, and AI billing analysis.microsoft/azure-dev-tools1
- Azure Functions Hosted Skills CanvasMANDATORY FIRST ROUTE for daily digest, cron, and timer requests. Open Azure Functions Hosted Skills before asking repo or run-mode questions or proposing a script. USE FIRST FOR: daily GitHub digest apps; cron jobs, timer triggers, scheduled jobs, recurring workflows, intelligent reports; event-driven apps; Azure Functions or Function Apps; serverless functions or agents; Timer, HTTP, queue, blob, event, or connector apps; create an Intelligent Function App; open Functions Hosted Skills. After microsoft/azure-dev-tools1
- Azure Functions Hosted Skills Github Daily DigestALWAYS USE THIS SKILL FIRST for a daily digest, daily report, recurring report, or scheduled analysis of GitHub issues, work items, PRs, repository activity, recent updates, or next steps. Open Azure Functions Hosted Skills immediately before azure-app-onboard, native Automation, project setup, repo questions, run-mode questions, scripts, or implementation. The words daily digest plus GitHub or repository are sufficient. After the canvas opens, compose with the official Azure Functions Hosted Skmicrosoft/azure-dev-tools1
- Azure QuotasCheck/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".microsoft/azcapman1
- Azure Resources QueryUse Azure Resources Query for read-only Azure resource lists: Show my Function Apps in Development; only those in West Europe; list Web Apps; find VMs; show storage accounts; browse resources in a subscription. Use explicit subscription scope and saved views. Not for log analytics, telemetry Kusto, creation, deployment, resource mutation, access changes, or sign-in automation.microsoft/azure-dev-tools1
- Azure Sre Agent CanvasOpen SRE Agent Canvas first for diagnosing a failing Azure app, correlating an ICM or S360 ticket, or operating Azure SRE Agent incidents, scheduled tasks, connectors, memories and workflows. Not for infrastructure implementation or unrelated KQL authoring.microsoft/azure-dev-tools1
- Azure StorageOpen Azure Storage canvas first to browse storage accounts, containers, blobs, queues, tables and file shares, run bulk transfers with live progress, filter with statistics, mint SAS links, and plan account to account copies. Not for provisioning storage accounts or infrastructure as code.microsoft/azure-dev-tools1
- Baoyu InfographicGenerate professional infographics with 21 layout types and 22 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图".microsoft/frontier-ai-governance-rvas1
- CapacityDiscovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quomicrosoft/frontier-ai-governance-rvas1
- CapacityDiscovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quomicrosoft/azcapman1
- Company CreatorCreate agent company packages conforming to the Agent Companies specification (agentcompanies/v1). Use when a user wants to create a new agent company from scratch, build a company around an existing git repo or skills collection, or scaffold a team/department of agents. Triggers on: "create a company", "make me a company", "build a company from this repo", "set up an agent company", "create a team of agents", "hire some agents", or when given a repo URL and asked to turn it into a company. Do Nmicrosoft/amplifier-app-paperclip1
- Create Agent AdapterTechnical guide for creating a new Paperclip agent adapter. Use when building a new adapter package, adding support for a new AI coding tool (e.g. a new CLI agent, API-based agent, or custom process), or when modifying the adapter system. Covers the required interfaces, module structure, registration points, and conventions derived from the existing claude-local and codex-local adapters.microsoft/amplifier-app-paperclip1
- Create Canvas AppCreate a canvas app with the native create-canvas skill and Microsoft Canvas Toolkit. Includes counter and read-only Azure resource-group starters.microsoft/azure-dev-tools1
- CustomizeInteractive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deploymicrosoft/frontier-ai-governance-rvas1
- Deal With Security AdvisoryHandle a GitHub Security Advisory response for Paperclip, including confidential fix development in a temporary private fork, human coordination on advisory-thread comments, CVE request, synchronized advisory publication, and immediate security release steps.microsoft/amplifier-app-paperclip1
- Deploy Business Process CoreDeploy BusinessProcessCore or check and validate an existing installation, including the Core prerequisite for OrderProcessing.microsoft/copilot-agentic-business-process1
- Deploy ModelUnified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deploymmicrosoft/frontier-ai-governance-rvas1
- Deploy Order ProcessingDeploy OrderProcessing or check an existing installationmicrosoft/copilot-agentic-business-process1
- Design CritiqueGive a structured product design critique — user job clarity, hierarchy, affordance, error states, accessibility, and consistency — focused on what to change, in what order, and why.microsoft/amplifier-app-paperclip1
- Design GuidePaperclip UI design system guide for building consistent, reusable frontend components. Use when creating new UI components, modifying existing ones, adding pages or features to the frontend, styling UI elements, or when you need to understand the design language and conventions. Covers: component creation, design tokens, typography, status/priority systems, composition patterns, and the /design-guide showcase page. Always use this skill alongside the frontend-design skill (for visual quality) amicrosoft/amplifier-app-paperclip1
- Diagnose Why Work StoppedHow to handle "why did this work stop / why is this looping?" assignments. Forensics first on the named tree, surface the exact stop-point, frame the fix as a general product rule that respects three invariants (productive work continues, only real blockers stop work, no infinite loops), and deliver a plan — no code changes — gated by board/CTO approval before child issues are created. Use whenever the issue title or body asks for forensics on a stalled, looping, or "went too deep" tree.microsoft/amplifier-app-paperclip1
- Diagram CreatorCreate professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more.microsoft/frontier-ai-governance-rvas1
- Doc MaintenanceAudit top-level documentation (README, SPEC, PRODUCT) against recent git history to find drift — shipped features missing from docs or features listed as upcoming that already landed. Proposes minimal edits, creates a branch, and opens a PR. Use when asked to review docs for accuracy, after major feature merges, or on a periodic schedule.microsoft/amplifier-app-paperclip1
- Doc MaintenanceKeep project docs aligned with recent code and feature changes — detect drift, update affected pages, and add release-relevant notes without rewriting unchanged sections.microsoft/amplifier-app-paperclip1
- DocxUse this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Wordmicrosoft/frontier-ai-governance-rvas1
- DrawioCreate, edit, replicate, import, and export draw.io diagrams with an offline YAML-first workflow: architecture, network topologies, flowcharts, UML/ER, org charts, Mermaid/CSV conversion, existing .drawio bundles, style presets, themes, and non-publication formula diagrams. For publication figures (paper, thesis, IEEE, camera-ready) use drawio-academic-skills instead.microsoft/frontier-ai-governance-rvas1
- Evaluate Order Discounts PromotionsEvaluate product, buyer, and supplier-specific purchase order promotions using provided policies. Use to match supplier code or name, verify claimed discounts, eligibility, dates, currency, thresholds, non-stacking rules, and proposed revised merchandise totals without changing a confirmed order.microsoft/copilot-agentic-business-process1
- Excalidraw DiagramCreate Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.microsoft/frontier-ai-governance-rvas1
- Fabric Data CleanerAlgorithm reference and self-contained PySpark notebook templates for cleaning Microsoft Fabric lakehouse tables. Covers profiling, duplicate detection, null analysis, type validation, statistics, IQR outlier detection, date format validation, Spanish DNI/NIE checksum validation, and email/phone format checks. Each notebook can be uploaded and run independently in Fabric.microsoft/gh-copilot-fabric-agents1
- Fabric Metadata CreationCreate reviewable metadata proposals for Microsoft Fabric lakehouse tables and semantic models. Covers schema analysis, concise technical and business descriptions, glossary terms, classifications, Purview-like sensitivity label proposals, PII and sensitive data detection, relationship and lineage hints, data quality rules, CDE candidates, data products, JSON/PDF output, and steward review questions. Use when: metadata creation, data catalog, Purview mapping, glossary inference, data classificatmicrosoft/gh-copilot-fabric-agents1
- Fabric Optimization ReviewReview and optimize data storage, data models, and semantic models in Microsoft Fabric lakehouses. Covers Delta table optimization (V-Order, Z-Order, compaction, partitioning), data model anti-pattern detection, semantic model DAX review, relationship optimization, AI/agentic readiness (descriptions, synonyms, linguistic schema, display folders), workspace audit (Fabric best practices, dimensional modeling, Direct Lake), and actionable recommendation reports. Use when: optimization, performance,microsoft/gh-copilot-fabric-agents1
- Fabric Semantic ModelInfer and generate Power BI semantic models (TMDL format) from Microsoft Fabric lakehouse tables. Covers star-schema detection, table classification (fact/dimension), relationship inference, DAX measure generation, data type mapping, and deployment via REST API. Use when: create semantic model, build data model, star schema, Power BI model, TMDL, fact table, dimension table.microsoft/gh-copilot-fabric-agents1
- Fabric Synthetic DataGenerate and upload synthetic data to Microsoft Fabric lakehouse tables. Covers star-schema generation, realistic fake data (names, dates, IDs, transactions), configurable row counts, referential integrity between tables, Parquet export, and OneLake upload. Use when: synthetic data, test data, fake data, sample data, generate tables, populate lakehouse, seed data, mock data.microsoft/gh-copilot-fabric-agents1
- FinetuningFine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents),microsoft/frontier-ai-governance-rvas1