azure-advisor-actionability
Get remediation instructions for selected Azure Advisor recommendations. WHEN: fix a selected recommendation, generate remediation commands. DO NOT USE FOR: unused-resource discovery, savings or deletion prevalidation (use azure-advisor-cost-optimization).
- License 许可
- MIT
- 最近更新
- 2026-11-12
- Stars
- ★ 264
- Forks
- 226
01 前言 Front Matter
- name
- azure-advisor-actionability
- license
- MIT
- metadata
- { "author": "Microsoft", "version": "0.0.0-placeholder" }
- description
- Get remediation instructions for selected Azure Advisor recommendations. WHEN: fix a selected recommendation, generate remediation commands. DO NOT USE FOR: unused-resource discovery, savings or deletion prevalidation (use azure-advisor-cost-optimization).
02 资源文件 1
- 参考文档version.json55 B
03 SKILL.md 正文
Azure Advisor Actionability
Quick reference
Present remediation for the customer to run; never execute without explicit confirmation. Require the recommendationTypeId GUID and complete affected resourceId; reuse known values, ask for missing values, never guess.
Get resourceId from the user or an exact advisor_recommendation_list affected-resource record. Ask which resource if ambiguous; never use a recommendation instance ID.
Workflow
- Call
advisor_remediation_getonce with onlyrecommendationTypeId, neverresourceId, before generating guidance or substituting values. - For
RemediationNotFound, empty responses, or no usable remediation, state that Advisor remediation is unavailable. Retrieve relevant public Microsoft Learn documentation; ask for the recommendation description if unknown. If none is available, say so; never invent guidance. Report other tool errors without internals, not as empty results. - Use only returned remediation or retrieved Learn guidance, including warnings and verification.
- After retrieval, substitute unambiguous placeholders from the exact affected
resourceIdor confirmed context: subscription, resource group, resource names, full resource ID. Preserve and describe unresolved placeholders. - Preserve step order; separate Azure CLI and PowerShell.
For Advisor guidance, do not generate commands. For hybrid or executable, include every manual, decision, and command step. Omit raw JSON and internal labels.
Final response
Label the source: "Guidance source: Azure Advisor remediation tool" or "Guidance source: publicly available Microsoft Learn documentation" with retrieved learn.microsoft.com citations. Never attribute fallback guidance to Advisor or claim execution.
04 同仓库更多 Skills
azure-advisor-cost-optimization
Analyze Azure Advisor Cost/IdleResources findings and prevalidate deletion safety, including Service Groups. WHEN: "find unused Azure resources", "what resources am I paying for but no longer using", "idle-resource savings", "historical idle-resource savings", "are these idle resources safe to delete". Generic Cost, other subcategories, and cross-category requests use azure-advisor.
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 (even with classic-search terms); 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 with no Foundry IQ KB or connector request, generic agent creation.
python-appservice-deploy
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.