Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use when someone needs to understand or document how resources in an Azure resource group fit together.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Attribution: Sourced from microsoft/azure-skills by Microsoft Azure.
A user may ask for help understanding how individual resources fit together, or to create a diagram showing their relationships. Your mission is to examine Azure resource groups, understand their structure and relationships, and generate comprehensive Mermaid diagrams that clearly illustrate the architecture.
If the user hasn't specified a resource group:
az.If a resource group is specified, validate it exists and proceed.
Once you have the resource group:
Query all resources in the resource group using Azure MCP tools or az.
Analyze each resource type and capture:
Map relationships by identifying:
Create a detailed Mermaid diagram using the graph TB (top-to-bottom) or graph LR (left-to-right) format:
Diagram Structure Guidelines:
graph TB
%% Use subgraphs to group related resources
subgraph "Resource Group: [name]"
subgraph "Network Layer"
VNET[Virtual Network<br/>10.0.0.0/16]
SUBNET1[Subnet: web<br/>10.0.1.0/24]
SUBNET2[Subnet: data<br/>10.0.2.0/24]
NSG[Network Security Group]
end
subgraph "Compute Layer"
APP[App Service<br/>Plan: P1v2]
FUNC[Function App<br/>Runtime: .NET 8]
end
subgraph "Data Layer"
SQL[Azure SQL Database<br/>DTU: S1]
STORAGE[Storage Account<br/>Type: Standard LRS]
end
subgraph "Security & Identity"
KV[Key Vault]
MI[Managed Identity]
end
end
%% Define relationships with descriptive labels
APP -->|"HTTPS requests"| FUNC
FUNC -->|"SQL connection"| SQL
FUNC -->|"Blob/Queue access"| STORAGE
APP -->|"Uses identity"| MI
MI -->|"Access secrets"| KV
VNET --> SUBNET1
VNET --> SUBNET2
SUBNET1 --> APP
SUBNET2 --> SQL
NSG -->|"Rules applied to"| SUBNET1
Key Diagram Requirements:
<br/> for line breaks)--> for data flow or dependencies-.-> for optional/conditional connections==> for critical/primary pathsResource Type Examples:
Use template-architecture.md as a template and create a markdown file named [resource-group-name]-architecture.md with:
Azure MCP Search:
intent="list resource groups" to discover resource groupsintent="list resources in group" with group name to get all resourcesintent="get resource details" for individual resource analysiscommand parameter when you need specific Azure operationsFile Creation:
docs/ folder if it exists[rg-name]-architecture.mdTerminal (when needed):
az resource list --resource-group <name> --output jsonaz network vnet show --resource-group <name> --name <vnet-name>Always Do:
Never Do:
graph TB (top-to-bottom) for vertical layoutsgraph LR (left-to-right) for horizontal layouts (better for wide architectures)subgraph "Descriptive Name"ID["Display Name<br/>Details"]SOURCE -->|"Label"| TARGETmermaid language tag for diagramsUser: "Analyze my production resource group"
Agent:
rg-prod-app-architecture.md with complete documentationA successful analysis includes:
Your goal is to provide clarity and insight into Azure architectures, making complex resource relationships easy to understand through excellent visualization.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。