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The-transit-Project/.github/agents/azure-deploy/prepare/instructions.md
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### Summary of Changes
  1. Documentation Consolidation:
      • Relocated the docs/ folder and all repository .md files (README.md, DEPLOYMENT.md, DOCKER_README.md,
      DOMAINS_README.md, GETTING_STARTED.md, CI_CD_PORTAINER_GUIDE.md, ADMIN_DEPLOYMENT_SUMMARY.md,
      SECURITY_PRIVATE_FILES.md, handoff.md, azure-project-plan.md, plus service-specific READMEs) into .
      • Updated document links in README.md.
  2. AI Agent Project Map:
      • Created PROJECT_MAP.md in the project root containing complete architecture diagrams, service specs, ports, DB
      schemas, environment variables, and developer workflows.
      • Added PROJECT_MAP.md to .gitignore.
  3. Monitoring UI & Infrastructure Integration:
      • Added monitoring_ui service to docker-compose.yml (port 5175).
      • Configured Gitea workflow docker-build.yml for monitoring_ui builds.
      • Added CORS middleware headers in index.js.
      • Added nginx.conf copy step in Dockerfile.

  ──────
  ### Recommended Commit Message

    docs: consolidate project documentation into monitoring_ui and add agent project map

    - Move all markdown documentation files and docs/ folder into monitoring_ui/docs/
    - Update documentation hub index (monitoring_ui/docs/README.md) with relative paths
    - Generate comprehensive AI agent reference map (PROJECT_MAP.md) in repository root
    - Add PROJECT_MAP.md and monitoring_ui build output/env overrides to .gitignore
    - Integrate monitoring_ui service into docker-compose.yml and Gitea CI workflow
    - Configure CORS handling in employee_api for monitoring dashboard access
    ──────
  ### Alternative Short Commit Message

    refactor(docs): move docs to monitoring_ui and create AI agent PROJECT_MAP.md
2026-09-20 23:33:55 +02:00

6.7 KiB

Important: This skill provides guidance and recommended instructions to assist the AI system. Outputs are not guaranteed to be complete, correct, secure, or applicable to every scenario. Results should be reviewed and validated by a human before being applied. The AI model may choose not to follow all instructions exactly, and additional verification may be required.

Prepare — Architecture Planning & Cost Estimation

Quick Reference

Property Value
Best for Mapping app components to Azure services with cost estimation and quota validation
Inputs prereq-output.json + context.json from .copilot-azure/sessions/{id}/
Outputs prepare-plan.json written to session directory
Parent azure-app-onboard

When to Use This Agent

Invoked by the azure-app-onboard orchestrator at Phase 2 when prereq-output.json exists. Not directly user-routable.

Return to orchestrator: When complete, return control to azure-app-onboard. Do NOT directly invoke scaffold or deploy.

When NOT to Use

Scenario Use Instead
Code readiness or prereq scanning azure-app-onboard Step 3 (prereq)
IaC generation from a completed plan azure-app-onboard Step 7 (scaffold)
Deploying resources to Azure azure-app-onboard Step 9 (deploy)
Optimizing existing Azure spend azure-cost
Estimating VM-specific costs azure-compute
Enterprise landing zone architecture azure-enterprise-infra-planner

MCP Tools

Tool Purpose
mcp_azure_mcp_pricing / azure-pricing (router → command: pricing_get) Cost estimation (inline — see Step 6). Fallback: dispatch subagent-pricing.md
mcp_azure_mcp_policy Subscription policy constraints
az rest Quota validation (via sub-agent — see Step 5)
mcp_azure_mcp_cloudarchitect → cloudarchitect_design WAF-aligned architecture design
mcp_azure_mcp_wellarchitectedframework Per-service WAF guidance
mcp_azure_mcp_advisor → advisor_recommendation_list Optimization recommendations

Workflow

# Step Action Reference
1 Read session state Load prereq-output.json + context.json. Resolve subscription Cross-ref subscription-resolution.md if needed
2 Query policy constraints Inline MCP: fetch policy + advisor recommendations mcp_azure_mcp_policy + mcp_azure_mcp_advisor
3 Map components to services Per-component Azure service selection, Dockerfile routing, deploy-as-is. ⛔ Existing Azure Functions components MUST remain separate Azure Functions services. ⛔ You MUST read service-mapping.md and deploy-strategy.md
4 Select SKUs + WAF analysis Budget-aware SKU selection, inline WAF service guidance ⛔ You MUST read sku-matrix.md
5 Validate quotas + region capacity ⛔ Read subagent-quota.md → dispatch as task (NEXT action MUST be task, ⛔ agent_type: "task" — NEVER "general-purpose"). Copy the COMPLETE and UNMODIFIED template text into the task prompt between <<<TEMPLATE_START>>> / <<<TEMPLATE_END>>> delimiters — do NOT summarize. Append the caller-provided inputs listed in subagent-quota.md's Input table AFTER the template block. ⛔ After dispatching, proceed to Step 6 (cost estimation) while the subagent runs. Do NOT run quota checks yourself — the subagent handles it. Collect subagent results before Step 9 (write plan). ⛔ You MUST read subagent-quota.md
6 Estimate costs ⛔ You MUST read pricing-guide.md for methodology, then pricing-guide-services.md for per-service filters. Call the pricing router (mcp_azure_mcp_pricing/azure-pricing) with command: "pricing_get" + a parameters{} object inline per paid service. If MCP unavailable or fails → ⛔ Read subagent-pricing.md → dispatch as task (NEXT action MUST be task, ⛔ agent_type: "task" — NEVER "general-purpose"). Copy the COMPLETE and UNMODIFIED template text into the task prompt between <<<TEMPLATE_START>>> / <<<TEMPLATE_END>>> delimiters — do NOT summarize. Append data (services[], region, budget tier) AFTER the template block. Write results to prepare-plan.json.costEstimate. pricing-guide.md
7 Generate naming Centralized naming: suffix, prefix, all resource names ⛔ You MUST read naming-patterns.md
8 Determine IaC format Existing non-Azure .tf → ask_user Bicep vs TF, write to overrides[].iacFormat. No .tf → default Bicep. (inline)
9 Write prepare-plan.json Per PreparePlan schema. Include postDeployRecommendations, deploymentVariables ⛔ You MUST read prepare-schemas.ts for PreparePlan schema
10 Return summary Structured summary for orchestrator approval gate (inline — 1 line)
11 Validate plan 4-dimension check: Goal Alignment, WAF Alignment, Dependency Completeness, Deployment Viability. Fix inline on failure, document tradeoffs in assumptions[]. All must pass before writing

Step 5 — Post-Quota Validation

⛔ NEVER present a region without checking quota first. Skipping quota validation causes cascading deploy failures and extended healing loops. ⛔ If plan includes PostgreSQL/MySQL, verify offerRestrictionsVerified: true — if false/missing, region is blocked. Do NOT proceed to scaffold with unchecked DB services. ⛔ Paid ≠ unlimited. Every compute SKU — including B1, Consumption, and Serverless tiers — has a per-subscription, per-region quota. Do NOT skip quota checks. (F1/D1/Free are never selected — the compute floor is B1.) ⛔ After region fallback, update ALL services[].region in prepare-plan.json. Do not leave stale values.

Error Handling

Error Remediation
Pricing API 400 Verify --sku included in the query
MCP pricing unavailable Dispatch subagent-pricing.md as task fallback (uses direct HTTP to prices.azure.com)
Prereq output missing Trigger prereq backfill
Quota check fails Fall back to best-effort estimate + disclaimer
Override conflicts Re-run from Step 3 with new constraints