azure-ai-voicelive-dotnet
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill azure-ai-voicelive-dotnet74
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 98%
↑ 2.88xAgent success when using this skill
Validation for skill structure
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 the technology stack (Azure AI Voice Live SDK, .NET) and general capability (real-time voice AI with WebSockets) but lacks the specificity and completeness needed for effective skill selection. The absence of a 'Use when...' clause is a significant gap, and the description would benefit from listing concrete actions and natural trigger terms users might say.
Suggestions
Add a 'Use when...' clause with explicit triggers like 'Use when building voice assistants, real-time speech applications, or when the user mentions Azure Voice, speech-to-text, or voice streaming in .NET'
List specific concrete actions such as 'stream audio input, receive real-time transcriptions, synthesize speech responses, handle voice interruptions'
Include natural user terms like 'voice chat', 'speech recognition', 'audio streaming', 'voice assistant', 'conversational AI'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Azure AI Voice Live SDK, .NET) and mentions one action ('Build real-time voice AI applications'), but lacks comprehensive concrete actions like 'transcribe audio', 'synthesize speech', or 'handle voice commands'. | 2 / 3 |
Completeness | Describes what it does (build voice AI apps with WebSocket) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Includes some relevant keywords ('Azure', 'voice', 'real-time', '.NET', 'WebSocket') but misses common user variations like 'speech-to-text', 'voice recognition', 'audio streaming', 'speech synthesis', or 'voice chat'. | 2 / 3 |
Distinctiveness Conflict Risk | The Azure-specific and .NET focus provides some distinctiveness, but 'voice AI applications' and 'WebSocket communication' could overlap with other voice/audio or real-time communication skills. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
92%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 SDK skill that provides comprehensive, actionable guidance for building real-time voice AI applications. The code examples are complete and executable, the workflow is clearly sequenced, and the content respects Claude's intelligence by avoiding unnecessary explanations. The main weakness is that the document is somewhat long and could benefit from splitting reference material into separate files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing executable code examples without explaining concepts Claude already knows (like what WebSockets are or how .NET packages work). Every section earns its place with concrete, actionable information. | 3 / 3 |
Actionability | Fully executable C# code examples throughout, including complete authentication patterns, session configuration, event handling, and function calling. Code is copy-paste ready with proper using statements and realistic patterns. | 3 / 3 |
Workflow Clarity | Clear numbered workflow (1. Start Session, 2. Process Events, 3. Send Message, 4. Function Calling) with explicit sequencing. The event loop pattern shows proper handling of different event types including error handling. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and tables, but it's a monolithic document (~200 lines) that could benefit from splitting detailed reference tables (Voice Options, Supported Models, Key Types) into separate reference files. The 'Related SDKs' and 'Reference Links' sections are good but inline content is heavy. | 2 / 3 |
Total | 11 / 12 Passed |
Validation
90%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
Table of Contents
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