agent-framework-azure-ai-py

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

Install with Tessl CLI

npx tessl i github:haniakrim21/everything-claude-code --skill agent-framework-azure-ai-py

What are skills?

7.14x

Review — 93%

Does it follow best practices?

Evaluation — 100%

↑ 7.14x

Agent success when using this skill

Validation — 10 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Discovery

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is an excellent skill description that clearly identifies the specific technology stack (Azure AI Foundry, Microsoft Agent Framework), lists concrete capabilities, and provides explicit trigger conditions. The description uses proper third-person voice and includes both high-level purpose and detailed use cases without being verbose.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'creating persistent agents', 'using hosted tools (code interpreter, file search, web search)', 'integrating MCP servers', 'managing conversation threads', 'implementing streaming responses', plus mentions 'function tools, structured outputs, and multi-tool agents'.	3 / 3
Completeness	Clearly answers both what ('Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK') and when ('Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools...'). Has explicit 'Use when...' clause with specific trigger scenarios.	3 / 3
Trigger Term Quality	Includes natural keywords users would say: 'Azure AI Foundry', 'agents', 'AzureAIAgentsProvider', 'code interpreter', 'file search', 'web search', 'MCP servers', 'conversation threads', 'streaming responses', 'function tools', 'structured outputs'. Good coverage of technical terms users working in this domain would naturally use.	3 / 3
Distinctiveness Conflict Risk	Highly distinctive with specific technology stack (Azure AI Foundry, Microsoft Agent Framework Python SDK, agent-framework-azure-ai, AzureAIAgentsProvider). Unlikely to conflict with other agent frameworks or general Python skills due to explicit Azure/Microsoft naming.	3 / 3
	Total	12 / 12 Passed

Implementation

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a high-quality skill document that efficiently teaches Azure AI agent development with the Microsoft Agent Framework. It excels at actionability with complete, executable examples and maintains excellent token efficiency. The main weakness is the lack of explicit validation steps and error handling guidance for multi-step agent operations.

Suggestions

Add validation/error handling examples, such as try/except blocks around agent.run() calls with guidance on common Azure AI service errors

Include a troubleshooting section or validation checkpoint (e.g., 'Verify agent creation succeeded before running queries')

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient, jumping directly into architecture, installation, and executable code examples without explaining what Azure AI or agents are. Every section earns its place with no padding or unnecessary context.	3 / 3
Actionability	All code examples are complete, executable Python with proper imports, async context managers, and realistic patterns. Examples cover the full range from basic agents to multi-tool streaming scenarios with copy-paste ready code.	3 / 3
Workflow Clarity	While the examples show clear patterns and the architecture diagram helps, there are no explicit validation checkpoints or error recovery steps. For operations involving Azure service calls and tool execution, missing validation/feedback loops cap this at 2.	2 / 3
Progressive Disclosure	Excellent structure with quick reference tables, clear section organization, and well-signaled one-level-deep references to detailed documentation (tools.md, mcp.md, threads.md, advanced.md). The main file serves as a comprehensive overview without becoming monolithic.	3 / 3
	Total	11 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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