azure-ai-voicelive-py
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with...
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill azure-ai-voicelive-py86
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 — 95%
↑ 1.46xAgent success when using this skill
Validation for skill structure
Discovery
75%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 has a clear structure with explicit 'Use this skill when' guidance and targets a specific SDK, making it distinctive. However, it appears truncated (ends with '...') and could benefit from listing more concrete actions and natural trigger terms users might use when seeking voice AI help.
Suggestions
Complete the truncated description to fully specify the use cases and capabilities
Add more natural trigger terms users might say, such as 'speech', 'voice chat', 'live audio streaming', 'conversational AI', or 'voice assistant'
List specific concrete actions like 'stream audio input/output', 'handle voice events', 'manage audio sessions', 'process real-time speech'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (voice AI applications, Azure AI Voice Live SDK) and mentions 'real-time bidirectional audio communication' but the description is truncated and doesn't list multiple concrete actions like 'stream audio', 'handle voice events', or 'process speech'. | 2 / 3 |
Completeness | Clearly answers both what ('Build real-time voice AI applications using Azure AI Voice Live SDK') and when ('Use this skill when creating Python applications that need real-time bidirectional audio communication with...'). Has explicit 'Use this skill when' clause. | 3 / 3 |
Trigger Term Quality | Includes relevant keywords like 'voice AI', 'Azure', 'real-time', 'audio communication', 'Python', and the SDK name, but missing common variations users might say like 'speech', 'voice chat', 'live audio', 'voice streaming', or 'conversational AI'. | 2 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Azure AI Voice Live SDK (azure-ai-voicelive) for Python applications. The specific SDK name and 'real-time bidirectional audio' focus makes it unlikely to conflict with general audio processing or other voice skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted SDK skill that efficiently covers authentication, core operations, and common patterns with executable code examples. The progressive disclosure is excellent with clear navigation to reference materials. The main weakness is the lack of explicit validation steps for connection health and error recovery workflows in a real-time streaming context.
Suggestions
Add a validation/health check pattern showing how to verify successful connection before streaming audio (e.g., waiting for session.created event)
Include a reconnection workflow with explicit steps: detect disconnect -> cleanup -> reconnect -> restore session state
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing executable code examples without explaining concepts Claude already knows. Every section serves a purpose with no padding or unnecessary explanations about what WebSockets or async programming are. | 3 / 3 |
Actionability | Provides fully executable, copy-paste ready Python code throughout. Examples include complete imports, proper async context managers, and specific method calls with realistic parameters. | 3 / 3 |
Workflow Clarity | While individual operations are clear, the skill lacks explicit validation checkpoints for the connection lifecycle. There's no guidance on verifying successful connection, handling reconnection scenarios, or validating audio format compatibility before streaming. | 2 / 3 |
Progressive Disclosure | Excellent structure with a clear quick start, organized sections for different concerns (auth, audio, events), and well-signaled one-level-deep references to detailed API docs, examples, and models at the end. | 3 / 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
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