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azure-ai-voicelive-dotnet

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

68

2.88x
Quality

52%

Does it follow best practices?

Impact

98%

2.88x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/azure-ai-voicelive-dotnet/SKILL.md

The canonical home for this skill is azure-ai-voicelive-dotnet in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

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 key use cases well. The main weaknesses are moderate verbosity (some sections like Related SDKs and Best Practices could be trimmed), and the lack of explicit validation/error recovery steps in the workflow. The content would benefit from splitting reference material into separate files and adding connection verification checkpoints.

Suggestions

Add explicit validation checkpoints to the workflow, such as verifying session connection succeeded before configuring, and checking session state before sending audio.

Move reference tables (Key Types, Voice Options, Supported Models, Related SDKs, Reference Links) into a separate REFERENCE.md file and link to it from the main skill.

Trim the Best Practices section to only non-obvious, SDK-specific guidance — remove generic advice like 'never hardcode API keys' and 'use using statement' that Claude already knows.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with good code examples, but includes some unnecessary sections like 'Related SDKs' table, 'When to Use' boilerplate, and the 'Reference Links' table that add bulk. The 'Best Practices' section contains some obvious advice Claude would already know (e.g., 'Never hardcode API keys', 'Use using statement').

2 / 3

Actionability

The skill provides fully executable, copy-paste ready C# code for all major operations: authentication, session setup, event processing, function calling, and error handling. 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 and function calling. However, there are no explicit validation checkpoints — no guidance on verifying the session connected successfully, no error recovery loops, and no verification that audio is flowing correctly before proceeding.

2 / 3

Progressive Disclosure

The content is well-structured with clear headers and tables for reference, but it's a monolithic document with no references to separate files for detailed topics like audio configuration, function calling patterns, or advanced scenarios. The reference tables and voice/model options could be split out to keep the main skill leaner.

2 / 3

Total

9

/

12

Passed

Description

40%Scale 1-3

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 clear, distinctive technology niche (Azure AI Voice Live SDK for .NET) which helps with differentiation, but it lacks explicit trigger guidance ('Use when...') and doesn't enumerate specific concrete actions the skill enables. The trigger terms are somewhat narrow and miss common user phrasings for voice AI tasks.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about building voice AI apps with Azure, real-time speech processing in .NET, or bidirectional audio streaming.'

List more specific concrete actions such as 'configure voice endpoints, handle audio streams, manage WebSocket sessions, implement turn-taking, process speech-to-text and text-to-speech.'

Include natural trigger term variations users might say, such as 'speech-to-text', 'text-to-speech', 'voice assistant', 'Azure Cognitive Services', 'conversational AI', or 'audio streaming'.

DimensionReasoningScore

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 configuring endpoints, handling audio streams, managing sessions, etc.

2 / 3

Completeness

Describes what the skill is about (Azure AI Voice Live SDK for .NET, real-time voice AI with WebSocket), but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'what' is also only moderately detailed, warranting 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', 'voice assistant', 'audio streaming', 'Azure Cognitive Services', or 'conversational AI'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'Azure AI Voice Live SDK', '.NET', and 'bidirectional WebSocket communication' is highly specific and creates a clear niche that is unlikely to conflict with other skills.

3 / 3

Total

8

/

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.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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