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azure-ai-voicelive-py

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

51

Quality

57%

Does it follow best practices?

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Adds up to 20 points to the overall score

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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-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

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with executable examples but reads as an inlined API reference rather than a workflow, and its only external references point to missing files. Splitting detailed reference material into the referenced bundle files would improve both structure and disclosure.

Suggestions

Create the referenced references/api-reference.md, references/examples.md, and references/models.md and move the bulk of the inlined event/voice/format catalogues there, keeping SKILL.md an overview.

Frame a short sequenced workflow (connect -> configure session -> stream audio -> handle events -> handle errors) with explicit checkpoints between phases.

Remove the non-informative 'When to Use' filler line or replace it with concrete trigger guidance.

DimensionReasoningScore

Conciseness

The body is mostly lean code and tables that earn their place, with only minor trimmable filler such as the vague closing 'This skill is applicable to execute the workflow or actions described in the overview.'

4 / 5

Actionability

It provides copy-paste-ready executable code across all common cases — installation, auth, session config, audio streaming, event handling, and error handling — with specific commands and complete snippets.

5 / 5

Workflow Clarity

The content is organized as an API reference rather than a sequenced workflow, and lacks explicit validation checkpoints or feedback loops between the connect/configure/stream/handle phases.

3 / 5

Progressive Disclosure

Substantial reference material (event tables, voice/format catalogs) is inlined in SKILL.md, and the signaled references to references/api-reference.md, examples.md, and models.md point to files that do not exist in the bundle.

2 / 5

Total

14

/

20

Passed

Description

46%Weight 40%Scale 1-5

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 is clear and domain-specific but lacks trigger guidance and leans on technical jargon over natural user phrasing. Adding a 'Use when...' clause with everyday terms would lift completeness and trigger quality.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger situations (e.g., building a voice assistant, real-time speech, or audio chat over WebSockets).

Replace some technical jargon ('bidirectional WebSocket communication') with natural terms users would actually say ('two-way voice', 'real-time audio', 'voice chat').

Expand the action list beyond a single 'Build' verb to cover the concrete operations the skill supports (streaming audio, session config, transcription).

DimensionReasoningScore

Specificity

The description names the domain ('real-time voice AI applications') and one concrete technical action ('bidirectional WebSocket communication'), but offers only a single action without comprehensive coverage.

3 / 5

Completeness

It clearly states what the skill does but provides no 'Use when...' clause or equivalent trigger guidance, capping completeness at 3 per the guidelines.

3 / 5

Trigger Term Quality

Terms like 'real-time voice AI' and 'bidirectional WebSocket communication' lean technical; it misses natural phrases a user would say such as 'voice assistant', 'speech', or 'real-time voice chat'.

2 / 5

Distinctiveness Conflict Risk

The niche is specific (real-time voice AI over WebSockets) and tied to a distinct SDK, with only minor overlap risk against closely related Azure/realtime skills.

4 / 5

Total

12

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

14

/

16

Passed

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

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