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azure-app-onboard

End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use azure-cost), code readiness checks only (use azure-app-onboard-prereq).

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=microsoft-skills-github-plugins-azure-skills-skills-azure-app-onboard-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name azure-app-onboard description End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use azure-cost), code readiness checks only (use azure-app-onboard-prereq). license MIT metadata {"author":"Microsoft","version":"1.2.3"} Azure App Onboard ⛔ Every repo goes through the full pipeline (Steps 1–10). No exceptions. Do not skip steps, refuse, or short-circuit based on what you recognize. Follow the Workflow table below sequentially — read each step's references before acting. Quick Reference Property Value Best for Developers who know what to build but not which Azure services to use Inputs Business idea or existing codebase, budget/scale preferences (optional) Outputs Architecture plan, cost estimate, IaC files, deployed Azure resources Phases Discover → Architect → Scaffold → Deploy (self-contained, no external skill calls) When to Use This Skill Deploy existing code without knowing which Azure services to use Check if your existing code is ready to deploy to Azure Move an existing app to Azure without rewriting or with minimal changes Get cost estimates before committing to infrastructure Understand architecture decisions and rejected alternatives Get answers to Azure architecture or service selection questions (e.g., "What database should I use?") Get guided Azure onboarding without prior experience When NOT to Use Scenario Use Instead Run azd up or execute an existing deployment azure-deploy Optimize existing Azure spend azure-cost Generate Bicep/Terraform for a known architecture azure-prepare Validate infrastructure or run preflight checks azure-validate Troubleshoot a running Azure deployment azure-diagnostics Deploy to or manage AKS/Kubernetes directly azure-kubernetes Look up or list existing Azure resources azure-resource-lookup Pipeline Rules ⛔ You MUST read references/pipeline-rules.md at the start of every AppOnboard session. It contains approval gates, phase lifecycle, session artifacts, deploy-as-is, and security baseline rules. Workflow ⛔ Deploy recovery: After deploy gate approval OR before any az deployment / az webapp deploy / az acr build — if you haven't read deploy/SKILL.md , read .copilot-azure/sessions/{id}/deploy-checklist.md first, then deploy/SKILL.md . ⛔ NEVER invoke {"skill": "azure-deploy"} — that is a DIFFERENT skill for a DIFFERENT workflow. ⛔ Post-scaffold transition (MANDATORY): Immediately after scaffold-manifest.json is written, YOUR NEXT ACTION MUST be Step 8 (Deploy Approval Gate) — NOT a summary report, NOT a "here are the generated files" message, NOT a completion signal. Confirm context.json has completedPhases: [...,"scaffold"] + currentPhase: "deploy" (update it yourself if the scaffold subagent didn't). Re-read approval-gates.md § Deploy Gate if evicted from context (scaffold reference loading is heavy), then present the exact prompt: "🚀 Ready to deploy? (Yes / Run manually / Edit plan / Cancel)" . This gate is the LAST content in your response — wait for the user's reply. # Step Action Reference 1 Session check + Azure login Create/resume session, verify Azure CLI auth, resolve subscription + user identity ⛔ You MUST read session-protocol.md 2 Scope triage Check azd markers, triage question. Empty workspace or code-only (no infra) → Step 3 directly. ⛔ Read intent-gathering.md § Scope Triage 3 Prereq scan ⛔ Skip if completedPhases includes "prereq" . Otherwise: invoke {"skill": "azure-app-onboard-prereq"} . Write prereq-output.json , update context.json . Halt if: overallHealth: "blocked" OR routeToSkill set. 4 Gather intent Present prereq results, confirm stack + Azure services, ask remaining questions. ⛔ Read intent-gathering.md § After Prereq Returns 5 Plan architecture Write prepare-plan.json . ⛔ You MUST read prepare/SKILL.md 6 Scaffold approval gate Display plan for user approval BEFORE generating any files. ⛔ Read approval-gates.md § Scaffold Gate 7 Scaffold Generate IaC, self-review. Write scaffold-manifest.json . Update context.json . ⛔ You MUST read scaffold/SKILL.md 8 Deploy approval gate Display validation summary. ⛔ After approval: FIRST read deploy-checklist.md → deploy/SKILL.md. NEVER {"skill": "azure-deploy"} . ⛔ Read approval-gates.md § Deploy Gate 9 Deploy Execute IaC, health-check. Write deploy-result.json . ⛔ You MUST read deploy/SKILL.md 10 Handoff Surface deployment identity, cleanup commands, next steps. ⛔ You MUST read handoff-protocol.md Error Handling Error Remediation Phase fails Halt, report phase + error. User decides: retry, skip, abort. MCP server unavailable Skip affected checks, add disclaimer to costEstimate.assumptions[] and every approval gate. Missing RBAC Report required role + az role assignment command. Shared references: MCP tools (cross-phase tool parameters) | IaC resources (Azure resource docs for troubleshooting)
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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