cost-estimation

Forecast Azure spend and price planned resources or workloads. WHEN: "forecast Azure spending", "project next month cost", "compare forecast to my planning target", "how much will Azure cost", "estimate VM cost", "compare storage tiers", "compare Azure regions", "retail price", "EA rate card", "negotiated pricesheet". DO NOT USE FOR: configured budget health or alerts, bill analysis, cost spikes, rightsizing, or commitments.

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Repository: microsoft/GitHub-Copilot-for-Azure
Last source activity: September 22, 2026 at 16:28
Detected SKILL.md language: English
Stars: 259
Forks: 222

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name: cost-estimation
description: Forecast Azure spend and price planned resources or workloads. WHEN: "forecast Azure spending", "project next month cost", "compare forecast to my planning target", "how much will Azure cost", "estimate VM cost", "compare storage tiers", "compare Azure regions", "retail price", "EA rate card", "negotiated pricesheet". DO NOT USE FOR: configured budget health or alerts, bill analysis, cost spikes, rightsizing, or commitments.
license: MIT
metadata: {"author":"Microsoft","version":"0.0.0-placeholder"}

# Azure Cost Estimation ## Quick Reference | Intent | Workflow | Primary tools | |--------|----------|---------------| | Forecast existing spend | [Cost forecast](references/cost-forecast/workflow.md) | `forecast_costs` | | Price planned resources | [Pricing estimate](references/pricing-estimate.md) | Pricing tools | ## When to Use This Skill Use for forecasts, pricing, and planning targets. ## MCP Tools | Tool | Use | |------|-----| | `forecast_costs` | Forecast a scope. | | `get_retail_prices` | Get public prices. | | `start_pricesheet_download`, `get_pricesheet_status` | Get Enterprise Agreement (EA) or Microsoft Customer Agreement (MCA) prices. | Fallback: [API mappings](references/tool-fallback.md). ## Workflow 1. Distinguish forecasts from hypothetical pricing. 2. Confirm scope, assumptions, period, region, OS, and currency. 3. Load the matching workflow and label every value type. 4. Never transform MCP results in a shell or interpreter; request tool-side filtering or bounded follow-up queries. ## Error Handling | Error | Action | |-------|--------| | Ambiguous meter | Ask for OS, term, tier, or usage. | | Forecast unavailable | Explain the history requirement. | | Pricesheet pending | Honor the returned polling interval. | | Multiple currencies | Never combine currencies. | | Server error | Retry once; then report the trace ID. |

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azure-diagnostics

Debug Azure production issues using AppLens, Azure Monitor, resource health, and safe triage, including evidence-only diagnosis without live access. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

2026-10-28

azure-validate

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

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microsoft-foundry

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent, managed harness agent, Copilot harness, voice agent, create/update/invoke/evaluate agent, add tool to agent, agent insights, batch/continuous eval, continuous monitoring, agent CI/CD, optimize/improve prompt, optimize agent instructions, Agent Optimizer, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

2026-10-28

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