azure-sql
- Repo stars 0
- Author repo skills-registry
azure-sql
Microsoft Azure Agent Framework Integration
This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework.
# Python
pip install semantic-kernel
# .NET / C#
dotnet add package Microsoft.SemanticKernel.Agents
Docs: https://learn.microsoft.com/en-us/agent-framework/overview/
Use the Microsoft Agent Framework for all Azure provisioning and operational actions. This skill provides architecture guidance, cost modeling, and pre-flight requirements — the framework handles execution.
Architecture Guidance
Consult this skill for:
- Azure service selection and trade-off analysis
- Cost estimation and optimization strategy
- Pre-flight Entra ID / RBAC permission requirements
- IaC approach (Bicep vs ARM vs Terraform AzureRM)
- Integration patterns with Microsoft 365 and other Azure services
- Multi-agent workflow design using Agent Framework graph-based runtime
Agent Framework Capabilities
| Capability | Description |
|---|---|
| Agents | Individual LLM agents with tool + MCP server support |
| Workflows | Graph-based multi-agent pipelines with checkpointing |
| Providers | Azure OpenAI, OpenAI, Anthropic, Ollama, and more |
| MCP | Native MCP client for external service integration |
| Human-in-the-loop | Built-in approval and intervention checkpoints |
Reference
- Microsoft Agent Framework Overview
- Agents
- Workflows
- MCP Tools
- Azure Pricing Calculator
- Microsoft Entra ID
<!-- tomevault:4.0:skill_md:2026-05-22 -->Source: alphaonedev/openclaw-graph — distributed by TomeVault.
- Fluxly category
- Data
- Author-declared agents
- No explicit declaration found; this is not inferred or tested compatibility
- Static check
- 88 / 100 · heuristic scan, not runtime safety proof
- Author / version / license
- @tomevault-io · no license declared
- Fluxly token estimate
- Lean
- Fluxly setup estimate
- Guided setup
- External API key
- No requirement detected
- Detected OS requirements
- Unspecified
- Runtime requirements
- Python
- Detected file/system behavior
-
- Read-only
- Write / modify
- Shell exec
- Detected network behavior
- Local-only
- Install commands
- None (reference only)
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
The current SKILL.md does not define a fixed output example. This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework. Docs: https://learn.microsoft.com/en-us/agent-framework/overview/ Use the Microsoft Agent Framework for all Azure provisioning and operational actions. This…
Consult this skill for: Azure service selection and trade-off analysis Cost estimation and optimization strategy
Capability · Description Agents · Individual LLM agents with tool + MCP server support Workflows · Graph-based multi-agent pipelines with checkpointing
Microsoft Agent Framework Overview Agents Workflows
# azure-sql
## Microsoft Azure Agent Framework Integration
This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework.
```bash
# Python
pip install semantic-kernel
# .NET / C#
dotnet add package Microsoft.SemanticKernel.Agents
```
**Docs:** https://learn.microsoft.com/en-us/agent-framework/overview/
Use the Microsoft Agent Framework for all Azure provisioning and operational actions. This skill provides architecture guidance, cost modeling, and pre-flight requirements — the framework handles execution.
## Architecture Guidance
Consult this skill for:
- Azure service selection and trade-off analysis
- Cost estimation and optimization strategy
- Pre-flight Entra ID / RBAC permission requirements
- IaC approach (Bicep vs ARM vs Terraform AzureRM)
- Integration patterns with Microsoft 365 and other Azure services
- Multi-agent workflow design using Agent Framework graph-based runtime
## Agent Framework Capabilities
| Capability | Description |
|---|---|
| Agents | Individual LLM agents with tool + MCP server support |
| Workflows | Graph-based multi-agent pipelines with checkpointing |
| Providers | Azure OpenAI, OpenAI, Anthropic, Ollama, and more |
| MCP | Native MCP client for external service integration |
| Human-in-the-loop | Built-in approval and intervention checkpoints |
## Reference
- [Microsoft Agent Framework Overview](https://learn.microsoft.com/en-us/agent-framework/overview/)
- [Agents](https://learn.microsoft.com/en-us/agent-framework/agents/)
- [Workflows](https://learn.microsoft.com/en-us/agent-framework/workflows/)
- [MCP Tools](https://learn.microsoft.com/en-us/agent-framework/agents/tools/hosted-mcp-tools)
- [Azure Pricing Calculator](https://azure.microsoft.com/en-us/pricing/calculator/)
… Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.
sections -> Microsoft Azure Agent Framework Integration → Architecture Guidance → Agent Framework Capabilities → Reference
terms -> Docs · This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework. · Use the Microsoft Agent Framework for all Azure provisioning and operational actions. · --- > Source: [alphaonedev/openclaw-graph](https://github.com/alphaonedev/openclaw-graph) — distributed by [TomeVault](https://tomevault.io).
files/cmd -> learn.microsoft.com/en-us/agent-framework/overview · learn.microsoft.com/en-us/agent-framework/agents · learn.microsoft.com/en-us/agent-framework/workflows · learn.microsoft.com/en-us/agent-framework/agents/tools/hosted-mcp-tools · azure.microsoft.com/en-us/pricing/calculator · learn.microsoft.com/en-us/entra/identity · alphaonedev/openclaw-graph · github.com/alphaonedev/openclaw-graph
body sha256 -> 69eb522919d7
Decide Fit First
Design Intent
How To Use It
Boundaries And Review