azure-ai-voicelive-dotnet

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.

Quality

48%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/azure-ai-voicelive-dotnet/SKILL.md

Quality

Discovery

32%

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

The description identifies a specific technology stack (Azure AI Voice Live SDK for .NET) but reads more like a tagline than a functional skill description. It lacks concrete actions, explicit trigger conditions, and natural user-facing keywords that would help Claude reliably select this skill from a large pool.

Suggestions

Add a 'Use when...' clause specifying triggers like 'when the user asks about Azure AI Voice, real-time voice streaming, speech-to-text with WebSockets, or building .NET voice applications'.

List specific concrete actions the skill covers, such as 'configure WebSocket connections, stream audio input/output, handle voice events, manage conversation sessions, integrate Azure Cognitive Services speech APIs'.

Include natural keyword variations users might say: 'voice assistant', 'speech recognition', 'audio streaming', 'conversational AI', 'Azure speech SDK', '.NET voice app'.

Dimension	Reasoning	Score
Specificity	Names the domain (Azure AI Voice Live SDK, .NET) and a key action ('Build real-time voice AI applications with bidirectional WebSocket communication'), but doesn't list multiple concrete actions like 'stream audio, transcribe speech, synthesize responses'.	2 / 3
Completeness	Describes what the skill is about at a high level but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, a missing 'Use when...' clause caps completeness at 2, and the 'what' is also weak, so this scores a 1.	1 / 3
Trigger Term Quality	Includes relevant keywords like 'Azure AI', 'Voice', '.NET', 'WebSocket', and 'real-time', but misses common user variations such as 'speech-to-text', 'text-to-speech', 'audio streaming', 'voice assistant', or 'conversational AI'.	2 / 3
Distinctiveness Conflict Risk	The combination of 'Azure AI Voice Live SDK' and '.NET' is fairly specific and narrows the domain, but without explicit trigger conditions it could overlap with other Azure SDK skills or general voice/audio processing skills.	2 / 3
	Total	7 / 12 Passed

Implementation

64%

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

This is a solid SDK reference skill with excellent actionability — the code examples are complete, executable, and cover the main use cases well. The main weaknesses are the lack of validation/error recovery steps integrated into the workflow, some boilerplate content that doesn't add value, and the monolithic structure that could benefit from splitting detailed reference material into separate files.

Suggestions

Integrate error handling and validation checkpoints directly into the numbered workflow steps (e.g., 'If session fails to start, check endpoint URL and credentials before retrying').

Remove the generic 'When to Use' and 'Limitations' boilerplate sections — they add no SDK-specific value.

Consider moving the Key Types Reference and Voice/Model tables to a separate REFERENCE.md file, keeping SKILL.md focused on the core workflow.

Dimension	Reasoning	Score
Conciseness	The content is mostly efficient with good code examples, but includes some unnecessary sections like 'When to Use' and 'Limitations' which are generic boilerplate, the 'Related SDKs' table adds marginal value, and some information (like the Reference Links table) could be trimmed. The Best Practices section contains some obvious advice Claude would already know.	2 / 3
Actionability	The skill provides fully executable, copy-paste ready C# code for all key operations: authentication, session setup, event processing, sending messages, and function calling. Code examples are complete with proper imports and realistic patterns.	3 / 3
Workflow Clarity	The core workflow is clearly numbered (1-4) with a logical sequence from session creation through event processing to function calling. However, there are no explicit validation checkpoints or error recovery feedback loops — the error handling section is separate and doesn't integrate into the workflow steps. For a WebSocket-based real-time system, connection failure handling and reconnection guidance is missing.	2 / 3
Progressive Disclosure	The content is well-structured with clear headers and tables for reference, but it's a monolithic document (~200 lines) that could benefit from splitting the detailed function calling example and type reference into separate files. The Reference Links table at the end provides external navigation, but there's no internal progressive disclosure to supplementary skill files.	2 / 3
	Total	9 / 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

Repository: sickn33/antigravity-awesome-skills
Commit: 76cbde3

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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