cost-analysis

Analyze actual Azure spend, bill changes, and AKS or AI costs. WHEN: "Azure cost breakdown", "most expensive resources", "why did my bill increase", "cost spike", "unexpected charge", "Cosmos DB charges", "Foundry model costs", "AKS cluster cost", "namespace cost", "enable AKS cost analysis", "idle AKS capacity". DO NOT USE FOR: forecasts, pricing estimates, rightsizing, commitments, or budgets.

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Dépôt: microsoft/skills
Dernière activité de la source: 23 septembre 2026 à 11:05
Langue détectée de SKILL.md: anglais
Étoiles: 3 063
Forks: 351

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Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

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Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/microsoft/skills/tree/main/.github/plugins/azure-cost/skills/cost-analysis.

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npx skills add https://github.com/microsoft/skills --skill cost-analysis

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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

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SKILL.md

Instructions source · Aperçu en lecture seule

name: cost-analysis
description: Analyze actual Azure spend, bill changes, and AKS or AI costs. WHEN: "Azure cost breakdown", "most expensive resources", "why did my bill increase", "cost spike", "unexpected charge", "Cosmos DB charges", "Foundry model costs", "AKS cluster cost", "namespace cost", "enable AKS cost analysis", "idle AKS capacity". DO NOT USE FOR: forecasts, pricing estimates, rightsizing, commitments, or budgets.
license: MIT
metadata: {"author":"Microsoft","version":"1.1.1"}

# Azure Cost Analysis ## Quick Reference | Intent | Workflow | Primary tools | |--------|----------|---------------| | Query historical spend | [Cost query](references/cost-query/workflow.md) | `query_costs` | | Explain a spike | [Cost investigation](references/cost-investigation.md) | `query_costs`, Resource Graph | | Analyze AKS spend | [AKS cost analysis](references/aks-cost-analysis.md) | `query_aks_costs`, Resource Graph | | Analyze AI service spend | [AI cost analysis](references/ai-cost-analysis.md) | `query_costs` | ## When to Use This Skill Use for spend, anomalies, and AKS or AI allocation. ## MCP Tools Use cost tools and Resource Graph first. If an operation is unavailable, follow [fallback and safety](references/tools-and-safety.md). ## Workflow 1. Confirm scope, period, currency, and breakdown. 2. Load only the matching workflow above. 3. Never transform MCP results in a shell or interpreter; request tool-side totals, grouping, sorting, or bounded follow-up queries. 4. Respect row limits and label incomplete data. 5. Separate measured cost from inferred causes and recommendations. ## Error Handling | Error | Action | |-------|--------| | Access denied | Name the required scope and role. | | Empty result | Distinguish no data from unavailable data. | | Multiple currencies | Report each currency separately. | | Server error | Retry once; then stop with the trace ID. |

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discover-azure-skills

Searches the Azure skills catalog and recommends installable agent skills by matching an Azure task to skill metadata and plugin installation guidance. WHEN: before starting any task that involves an Azure or Microsoft-cloud service, product, or data source, when no currently loaded skill or tool already covers it.

2026-09-24

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 create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, 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).

2026-09-24

foundry-iq

Foundry IQ knowledge bases. WHEN: make local or Blob documents searchable; create/diagnose KBs; triage unsupported connectors or multi-source KB creation/reconfiguration; connect existing KB to agents (including multi-source KBs); create/reuse a Search service; retrieve from an existing knowledge base with citations; no brand words needed. Read its procedure before query/target questions. NOT: other KB providers, repository-file search, classic Azure AI Search index/query/app work, generic agent creation.

2026-09-24

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