skill
Azure App Onboard Prereq
نبذة
# Azure App Onboard Prereq — Repository Evaluation
Evaluate a user's repository for build health, app completeness, and Azure deployment feasibility — before infrastructure planning. Produces per-component verdicts (PASS/WARN/FAIL) consumed by downstream phases.
> **Orchestrator relationship:** Called by `azure-app-onboard` at Step 3, or standalone for code readiness checks. When called by orchestrator, return control to `azure-app-onboard` after writing artifacts — do NOT invoke downstream phases directly.
Phase 1 of 4 in AppOnboard pipeline. Session: `.copilot-azure/sessions/{session-id}/`. Reads `context.json`. Writes `components[]`, `repo{}`, `detectedInfra[]`. Produces `prereq-output.json`. Schema: [`prereq-schemas.ts`](references/prereq-schemas.ts) — `PrereqOutput`, `BuildRequirements`. Direct entry supported.
## When NOT to Use
| Signal | Redirect | |--------|----------| | Validate infrastructure (Bicep/TF/azure.yaml) | **azure-validate** | | Generate IaC | **azure-prepare** | | End-to-end idea-to-production | **azure-app-onboard** | | Run `azd up` or deploy | **azure-deploy** |
## Rules
> ⛔ **ABSOLUTE PROHIBITION — `npm install`, `npm test`, `npx jest`, `pytest`, and ALL install/build/test commands are NEVER allowed.** > Under NO circumstances may you run `npm install`, `npm test`, `npx jest`, `pip install`, `pytest`, `dotnet build`, `dotnet restore`, `dotnet test`, `go mod download`, `cargo build`, or ANY package-manager install, build, or test command during the prereq phase. Do NOT run test suites to verify code — check for test config files statically instead. The prereq phase is read-only evaluation + static-only verification. > **ONLY exception — two sanctioned contexts, both consent-gated:** (a) code the agent **modified** during migration/remediation (see [remediation-protocol.md](references/remediation-protocol.md) step 6), or (b) code the agent **wrote** from scratch on the zero-code path (see [zero-code-path.md](references/zero-code-path.md)). In either case, install/build/test runs ONLY via the user-confirmed build-validation gate ([build-check.md](references/build-check.md) Step 3), after the user answers that specific per-command consent prompt. General prior consent never counts.
1. ⛔ **Full pipeline (Steps 1–8), no exceptions.** All prompts → Step 1 directly. Answer specific questions AS PART OF findings (Step 5), not before. 2. ⛔ **No sub-agents for evaluation.** 3-axis evaluation is inline. **Exception**: zero-code-path scaffolding (Step 2). 3. Code/destructive modifications require `ask_user`. Max 3 questions before results. Direct entry: don't repeat orchestrator's intent questions.
## MCP Tools
| Tool | Purpose | |------|---------| | `mcp_azure_mcp_get_azure_bestpractices` | Validate detected stack patterns against Azure best practices | | `mcp_azure_mcp_extension_cli_install` | Check/install required CLI tools (az, azd, func) |
## Workflow
### Step 1: Session Check
**Orchestrator entry:** Session exists — read `context.json`, proceed to Step 2.
**Direct entry:** Check `.copilot-azure/sessions/active-session.json`: - **Exists** → ⛔ read [session-protocol.md](references/session-protocol.md) for resume/fresh gate. Do NOT proceed until user answers. - **Missing** → create session: generate UUID, `New-Item -ItemType Directory -Path ".copilot-azure/sessions/{uuid}" -Force`, write `context.json` + `active-session.json` via `create` tool.
Then: `az account show` → merge `{id, name, tenantId}` into `context.json.azure`. ⛔ Session MUST exist on disk before any scanning.
### Step 2: Scan Workspace
Scan for project files. Detect components, `repo{}`, `detectedInfra[]`, `detectedServices[]`. Classify Terraform providers. Check CLI availability. Stack detection conflicts: user explicit statement wins (write to `context.json`, mark scan as override); scan-only → confirm with user; multiple stacks → show all and ask (see [component-mapping.md](references/component-mapping.md)); no code → [zero-code-path.md](references/zero-code-path.md).
> If no project files, no Dockerfile, AND no index.html → ⛔ read [zero-code-path.md](references/zero-code-path.md).
> ⛔ **Cloud SDK early gate.** Grep for `aws-sdk|@aws-sdk|boto3|google-cloud|@google-cloud|firebase`. If functional deps found → read [cloud-sdk-migration.md](references/cloud-sdk-migration.md), then `ask_user`: **"Redirect to Azure Cloud Migrate"** (set `routeToSkill: "azure-cloud-migrate"`) · **"Continue evaluation anyway"** (finish readiness eval + SDK→Azure mapping, then STOP at Step 8 — no plan until the deps are swapped) · **"Cancel"**.
### Step 3: Per-Component Evaluation
| Sub-step | Action | Reference | |----------|--------|-----------| | 3.1 | **Build check** | ⛔ **You MUST read [build-check.md](references/build-check.md)** | | 3.2 | **Completeness check** | ⛔ **You MUST read [completeness-check.md](references/completeness-check.md)** | | 3.3 | **Deployability check** | ⛔ **You MUST read [deployability-check.md](ref
التثبيت
شغل هذا الأمر
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/azure-app-onboard-prereq ~/.claude/skills/يعمل مع
خطوات التثبيت
Clone the repository and copy the `skills/azure-app-onboard-prereq` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.
أسئلة شائعة
كيف أثبت Azure App Onboard Prereq؟
شغل هذا الأمر في الطرفية:
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/azure-app-onboard-prereq ~/.claude/skills/مع أي أدوات ذكاء اصطناعي تعمل Azure App Onboard Prereq؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Azure App Onboard Prereq؟
طورها Microsoft، وتصدر بترخيص MIT.
هل Azure App Onboard Prereq مجانية؟
نعم، يمكنك استخدامها مجانا وفق ترخيص MIT.
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/customer-support/skills/kb-article ~/.claude/skills/
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/customer-support/skills/customer-research ~/.claude/skills/
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/customer-support/skills/ticket-triage ~/.claude/skills/
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/customer-support/skills/draft-response ~/.claude/skills/
git clone https://github.com/anthropics/knowledge-work-plugins && cp -r knowledge-work-plugins/customer-support/skills/customer-escalation ~/.claude/skills/
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى