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azure-ai-voicelive-py

Build real-time voice AI applications with bidirectional WebSocket communication.

48

Quality

52%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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

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

SKILL.md
Quality
Evals
Security

Quality

Content

72%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 strong, actionable SDK reference skill with excellent code examples and good progressive disclosure to reference files. Its main weaknesses are moderate redundancy between the authentication and quick start sections, and the lack of an explicit end-to-end workflow with validation checkpoints for what is inherently a multi-step, connection-sensitive process. The boilerplate 'When to Use' section at the end adds no value.

Suggestions

Remove or consolidate the redundant DefaultAzureCredential code between the Authentication and Quick Start sections to improve conciseness.

Add an explicit end-to-end workflow section with numbered steps and validation checkpoints (e.g., verify connection established, confirm session.created event received before sending audio, handle reconnection on failure).

Remove the generic 'When to Use' section at the bottom, which adds no actionable information.

DimensionReasoningScore

Conciseness

The skill is fairly comprehensive 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 useful reference value but the overall document is quite long (~250 lines) with some content that could be offloaded to reference files.

2 / 3

Actionability

The skill provides fully executable, copy-paste ready Python code throughout—connection setup, session configuration, audio streaming, event handling, function calls, error handling. All examples use real imports, real method signatures, and concrete parameters.

3 / 3

Workflow Clarity

The skill presents clear patterns for individual operations (send audio, receive audio, handle events, manual turn mode) but lacks an explicit end-to-end workflow with sequenced steps and validation checkpoints. For a WebSocket-based real-time system with potential connection failures, there are no explicit verification steps or feedback loops for connection health or audio pipeline validation.

2 / 3

Progressive Disclosure

The skill provides a clear overview with well-organized sections (Quick Start → Core Architecture → Patterns → Reference tables) and appropriately defers detailed content to one-level-deep references (api-reference.md, examples.md, models.md) that are clearly signaled at the end.

3 / 3

Total

10

/

12

Passed

Description

32%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 domain (real-time voice AI with WebSockets) but is too terse and lacks both specific concrete actions and explicit trigger guidance. It would benefit significantly from listing specific capabilities and adding a 'Use when...' clause with natural user terms.

Suggestions

Add a 'Use when...' clause with trigger terms like 'voice assistant', 'audio streaming', 'speech-to-text', 'real-time audio', 'conversational AI', or 'WebSocket audio'.

List specific concrete actions such as 'stream audio input/output', 'handle voice activity detection', 'manage WebSocket connections for audio', 'integrate with speech APIs'.

Include common file types or framework names users might mention (e.g., 'OpenAI Realtime API', 'Twilio', 'LiveKit') to improve trigger term coverage and distinctiveness.

DimensionReasoningScore

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', 'handle turn-taking', 'transcribe speech', 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', or 'conversational AI'.

2 / 3

Distinctiveness Conflict Risk

The combination of 'voice AI' and 'WebSocket' is somewhat distinctive, 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

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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