azure-sql
- Repo stars 0
- Author updated Live
- Author repo skills-registry
- Domain
- Data
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
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。
---
name: azure-sql
description: Operate Azure SQL Database, Cosmos DB, and managed database services. Use when this capability i…
category: data
runtime: Python
---
# azure-sql output preview
## PART A: Task fit
- Use case: Operate Azure SQL Database, Cosmos DB, and managed database services. Use when this capability is needed. This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework. runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Microsoft Azure Agent Framework Integration / Architecture Guidance / Agent Framework Capabilities” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Operate Azure SQL Database, Cosmos DB, and managed database services. Use when this capability is needed. This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework. runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Microsoft Azure Agent Framework Integration / Architecture Guidance / Agent Framework Capabilities” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Microsoft Azure Agent Framework Integration / Architecture Guidance / Agent Framework Capabilities”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: azure-sql
description: Operate Azure SQL Database, Cosmos DB, and managed database services. Use when this capability i…
category: data
source: tomevault-io/skills-registry
---
# azure-sql
## When to use
- Operate Azure SQL Database, Cosmos DB, and managed database services. Use when this capability is needed. This skill d…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Microsoft Azure Agent Framework Integration / Architecture Guidance / Agent Framework Capabilities” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "azure-sql" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Microsoft Azure Agent Framework Integration / Architecture Guidance / Agent Framework Capabilities
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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
Source: alphaonedev/openclaw-graph — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review