- Entra App RegistrationGuides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.microsoft/azure-skills1,253
- Entra App RegistrationGuides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.microsoft/azure-skills1,253
- FinetuningFine-tune models on Azure AI 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/azure-skills1,253
- FinetuningFine-tune models on Azure AI 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/azure-skills1,253
- Microsoft FoundryDeploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agemicrosoft/azure-skills1,253
- Microsoft FoundryDeploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agemicrosoft/azure-skills1,253
- PresetIntelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (usmicrosoft/azure-skills1,253
- PresetIntelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (usmicrosoft/azure-skills1,253
- Python Appservice DeployDeploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.microsoft/azure-skills1,253
- Python Appservice DeployDeploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.microsoft/azure-skills1,253
- AccessibilityConsolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, and the Accessibility Planner workflow.microsoft/hve-core1,243
- Adr AuthorAuthoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.microsoft/hve-core1,243
- Architecture DiagramsArchitecture diagram authoring for cloud infrastructure: parse Azure IaC, map relationships, and render either ASCII block diagrams or Mermaid flowcharts based on the caller's chosen output formatmicrosoft/hve-core1,243
- Backlog TemplatesShared work-item templates and conventions for ADO and GitHub backlog handoff across the RAI, Security, SSSC, Accessibility, and Privacy plannersmicrosoft/hve-core1,243
- CavemanUltra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rulesmicrosoft/hve-core1,243
- Code ReviewReview code changes from multiple perspectives with context bootstrap, depth-tier rigor, and structured findings output.microsoft/hve-core1,243
- Customer Card RenderGenerate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipelinemicrosoft/hve-core1,243
- DocumentationCanonical documentation capability for audit, drift, validate, and author modes in hve-core.microsoft/hve-core1,243
- Dt Coaching FoundationDesign Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflowmicrosoft/hve-core1,243
- Dt CurriculumDesign Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared manufacturing reference scenario for teaching and practicemicrosoft/hve-core1,243
- Dt MethodsDesign Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)microsoft/hve-core1,243
- Dt Rpi IntegrationDesign Thinking to RPI handoff knowledge covering the DT-to-RPI handoff contract, DT-aware research/planning/implement/review contexts, subagent handoff workflow, and Method 5 image prompt generationmicrosoft/hve-core1,243
- Gh Code ScanningRetrieves and groups GitHub code scanning alerts by rule and severity using the gh CLImicrosoft/hve-core1,243
- GitlabManage GitLab merge requests and pipelines with a Python CLImicrosoft/hve-core1,243
- Hve Core InstallerDecision-driven HVE-Core installer with multiple clone-based and extension install methods, environment detection, and agent customizationmicrosoft/hve-core1,243
- JiraJira issue workflows for search, issue updates, transitions, comments, and field discovery via the Jira REST API. Use when you need to search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation.microsoft/hve-core1,243
- MuralMural workspace, room, mural, and widget workflows via the Mural REST API exposed through a Python CLI. Use when you need to read or write Mural content or automate widget creation.microsoft/hve-core1,243
- Owasp AgenticOWASP Agentic Security Top 10 knowledge base for identifying, assessing, and remediating AI agent system security risks.microsoft/hve-core1,243
- Owasp CicdOWASP CI/CD Top 10 knowledge base for identifying, assessing, and remediating CI/CD pipeline security risks.microsoft/hve-core1,243
- Owasp DockerOWASP Docker Top 6 knowledge base for identifying, assessing, and remediating Docker container security risks.microsoft/hve-core1,243
- Owasp InfrastructureOWASP Infrastructure Top 10 knowledge base for identifying, assessing, and remediating internal IT infrastructure security risks.microsoft/hve-core1,243
- Owasp LlmOWASP Top 10 for LLM Applications (2025) knowledge base for identifying, assessing, and remediating large language model security risks.microsoft/hve-core1,243
- Owasp McpOWASP MCP Top 10 knowledge base for identifying, assessing, and remediating Model Context Protocol security risks.microsoft/hve-core1,243
- Owasp Top 10OWASP Top 10 for Web Applications (2025) knowledge base for identifying, assessing, and remediating web application security risks.microsoft/hve-core1,243
- PowerpointPowerPoint slide deck generation and management using python-pptx with YAML-driven content and stylingmicrosoft/hve-core1,243
- Pr ReferenceGenerates PR reference XML with commit history and unified diffs between branches, with extension and path filtering. Use when creating pull request descriptions, preparing code reviews, analyzing branch changes, discovering work items from diffs, or generating structured diff summaries.microsoft/hve-core1,243
- Privacy StandardsPrivacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholdsmicrosoft/hve-core1,243
- Prompt AnalyzeExecute prompt evaluation for existing prompt artifacts and produce an analysis report without modifying files.microsoft/hve-core1,243
- Prompt BuilderCreate or update prompt artifacts through the full prompt-builder phase loop, routing refactor and analyze requests to the specialized skills.microsoft/hve-core1,243
- Prompt RefactorRefactor existing prompt artifacts against explicit requirements through the full prompt-builder loop.microsoft/hve-core1,243
- Python FoundationalFoundational Python best practices, idioms, and code quality fundamentalsmicrosoft/hve-core1,243
- Rai PlannerOn-demand RAI planner reference pack covering Phase 1 capture, Phase 2 risk classification, Phase 5 impact assessment, and Phase 6 review and backlog handoff.microsoft/hve-core1,243
- Rai StandardsConsolidated Responsible AI standards reference: NIST AI RMF 1.0, AI STRIDE threat-modeling overlay, EU AI Act risk tiers, and an open-standards catalog with phase mappingmicrosoft/hve-core1,243
- Requirements AuthorRequirements authoring guide for BRD and PRD across Discover, Define, and Govern with canonical templates and handoff contractsmicrosoft/hve-core1,243
- Rpi ImplementExecute approved implementation phases, update tracking artifacts, and hand off review-ready results.microsoft/hve-core1,243
- Rpi PlanCreate implementation-ready planning artifacts and validation evidence for RPI tasks.microsoft/hve-core1,243
- Rpi QuickUmbrella RPI playbook that sequences Research, Plan, Implement, Review, and Discover for one-shot task execution with quality gates.microsoft/hve-core1,243
- Rpi ResearchResearch-only RPI playbook that gathers task evidence, writes dated research artifacts under .copilot-tracking/research/, and hands off planning-ready findings. Use when the user needs evidence, alternatives, or task framing first.microsoft/hve-core1,243
- Rpi ReviewReview-only RPI playbook that validates implementation evidence, checks phase completion, and closes the loop with explicit next steps. Use when the user needs review coverage or acceptance evidence.microsoft/hve-core1,243
- Secure By DesignSecure by Design principles knowledge base for assessing security-first design, development, and deployment across the software lifecycle.microsoft/hve-core1,243
- Security PlanningSecurity planning reference set for operational buckets, STRIDE analysis, standards mapping, NIST control families, and backlog scaffolding.microsoft/hve-core1,243
- Security Reviewer FormatsFormat specifications and data contracts for the security reviewer orchestrator and its subagents.microsoft/hve-core1,243
- Supply Chain SecuritySoftware supply chain security reference for OpenSSF Scorecard, SLSA, Sigstore, SBOM, and posture/backlog taxonomies.microsoft/hve-core1,243
- Telemetry FoundationsDeclarative OpenTelemetry-aligned telemetry vocabulary and instrumentation conventions for traces, metrics, logs, and PII handlingmicrosoft/hve-core1,243
- Tts VoiceoverText-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation controlmicrosoft/hve-core1,243
- Vally TestsAuthors Vally conformance tests for prompts, instructions, agents, and skills, including refusals for jailbreak, prompt-injection, harmful-elicitation, TOS, CoC, and PII-extraction stimulimicrosoft/hve-core1,243
- VexOpenVEX v0.2.0 specification reference plus VEX management playbooks - Brought to you by microsoft/hve-core.microsoft/hve-core1,243
- Video To GifVideo-to-GIF conversion with FFmpeg two-pass optimizationmicrosoft/hve-core1,243
- Vscode PlaywrightVS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentationmicrosoft/hve-core1,243
- Pr ReviewMulti-dimensional review of a PR or feature branch in the microsoft/winappcli repo. Activate when a contributor asks to "review my PR", "review my changes", "vet my branch before pushing", "do a full review", "PR review", "review this feature", or similar. Fans out parallel sub-agents covering security, correctness/edge cases, CLI UX, alternative-solution check, test coverage, docs & samples sync, packaging/release impact, and a multi-model cross-check. Reports a consolidated finding list to stdmicrosoft/winappCli1,125