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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.

48

Quality

52%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

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

Quality

Content

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 key workflows. The main weaknesses are the lack of validation/error recovery checkpoints in the workflow (important for WebSocket-based real-time communication) and the monolithic structure that packs reference tables, best practices, and configuration details into a single file. Some trimming of boilerplate sections and splitting reference material would improve token efficiency.

Suggestions

Add validation checkpoints to the workflow: verify session connection succeeded before configuring, handle WebSocket disconnection/reconnection, and add a feedback loop for retry on transient errors.

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

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

DimensionReasoningScore

Conciseness

The skill 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 repeats installation info, and the 'Best Practices' section contains guidance Claude could infer. The reference tables and voice/model tables add bulk that could be in separate files.

2 / 3

Actionability

The skill provides fully executable, copy-paste ready C# code for all core 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 sequenced (1-4 steps) and the event loop pattern is well-demonstrated. However, there are no validation checkpoints — no guidance on verifying the session connected successfully, no error recovery flow if WebSocket drops, and no feedback loop for handling connection failures in this real-time streaming context.

2 / 3

Progressive Disclosure

The content is reasonably structured with clear headers, but it's a long monolithic file (~250 lines) with reference tables, model lists, and audio configuration details that could be split into separate reference files. No bundle files exist to offload this content, and the reference links section at the end provides external navigation but not internal progressive disclosure.

2 / 3

Total

9

/

12

Passed

Description

40%

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 and distinctive technology niche (Azure AI Voice Live SDK for .NET) which makes it unlikely to conflict with other skills. However, it lacks explicit trigger guidance ('Use when...'), lists only one high-level action rather than specific capabilities, and misses common natural language terms users might use when needing this skill.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when building .NET applications that need real-time voice interaction, audio streaming, or speech processing with Azure AI services.'

List more specific concrete actions, e.g., 'Stream audio input/output, manage voice sessions, handle turn-taking, configure speech recognition and synthesis parameters.'

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

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 'stream audio', 'transcribe speech', 'synthesize voice responses', etc.

2 / 3

Completeness

Describes what the skill is about (Azure AI Voice Live SDK for .NET, real-time voice AI) 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 fairly thin, warranting a 1.

1 / 3

Trigger Term Quality

Includes some relevant keywords like 'Azure', 'voice', 'real-time', '.NET', 'WebSocket', but misses common user variations like 'speech-to-text', 'text-to-speech', 'audio streaming', 'voice assistant', 'conversational AI', or 'Azure Cognitive Services'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'Azure AI Voice Live SDK', '.NET', and 'bidirectional WebSocket communication' creates a very specific niche that is unlikely to conflict with other skills. This is clearly distinguishable from general voice, audio, or Azure 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
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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