azure-ai-voicelive-py
Build real-time voice AI applications with bidirectional WebSocket communication.
61
52%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/azure-ai-voicelive-py/SKILL.mdQuality
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 technical niche (real-time voice AI with WebSockets) but is too terse and lacks explicit trigger guidance. It does not enumerate concrete actions the skill performs, nor does it include a 'Use when...' clause, making it difficult for Claude to reliably select this skill from a large pool.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user asks about building voice assistants, real-time audio streaming, speech-to-text/text-to-speech pipelines, or WebSocket-based voice communication.'
List specific concrete actions the skill covers, such as 'establish WebSocket connections for audio streaming, handle voice activity detection, integrate with speech recognition and synthesis APIs, manage conversation turn-taking.'
Include natural keyword variations users might say: 'voice assistant', 'audio streaming', 'speech API', 'conversational AI', 'STT', 'TTS', 'real-time audio'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain ('voice AI applications') and a key technical approach ('bidirectional WebSocket communication'), but does not list multiple concrete actions like 'stream audio', 'transcribe speech', 'handle turn-taking', etc. | 2 / 3 |
Completeness | Describes what the skill does 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, 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 'voice AI', 'real-time', and 'WebSocket', but misses common user variations such as 'speech-to-text', 'audio streaming', 'voice assistant', 'STT', 'TTS', 'conversational AI', or specific API names. | 2 / 3 |
Distinctiveness Conflict Risk | The combination of 'voice AI' and 'WebSocket' narrows the domain somewhat, but 'real-time' and 'applications' are generic enough that it could overlap with other real-time communication or general WebSocket skills. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
72%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, actionable SDK reference skill with excellent code examples covering all major use cases of the Azure AI Voice Live SDK. Its main weaknesses are some redundancy between the authentication and quick start sections, boilerplate filler sections at the end, and a lack of explicit validation/verification steps in the workflow for what is inherently a multi-step, stateful WebSocket interaction.
Suggestions
Remove the boilerplate 'When to Use' and 'Limitations' sections which add no SDK-specific value and waste tokens.
Add a brief validation workflow showing how to confirm session.created was received before sending audio, and how to verify session.updated reflects expected configuration before proceeding.
Consolidate the Quick Start and Authentication sections to eliminate the duplicated DefaultAzureCredential connection pattern.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly well-structured but includes some redundancy—the Quick Start section largely duplicates the Authentication section's DefaultAzureCredential example. The voice options table and audio formats table add reference value but the 'When to Use' and 'Limitations' sections are boilerplate filler that Claude doesn't need. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste-ready Python code for every major operation: connection, session configuration, audio streaming, event handling, function calls, manual turn mode, and error handling. All examples use real imports and concrete API calls. | 3 / 3 |
Workflow Clarity | The skill covers many patterns clearly but lacks explicit validation checkpoints or a sequenced workflow for building a complete voice application. There's no feedback loop for verifying the connection is working, audio format is correct, or session configuration was accepted before proceeding to stream audio. | 2 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-organized sections progressing from installation to quick start to advanced patterns, and appropriately references separate files (api-reference.md, examples.md, models.md) for detailed content—one level deep with clear signaling. | 3 / 3 |
Total | 10 / 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 | |
- Repository
- sickn33/antigravity-awesome-skills
- Commit
76cbde3
- Reviewed
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