CtrlK
BlogDocsLog inGet started
Tessl Logo

azure-ai-voicelive-dotnet

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.

57

Quality

66%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/azure-ai-voicelive-dotnet/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

78%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 complete, executable code and a clear sequenced workflow. Its weaknesses are modest verbosity in prescriptive sections and a monolithic structure with no progressive disclosure of reference material into separate files.

Suggestions

Move the Key Types Reference, Related SDKs, and Reference Links tables into a separate reference file and link to it from SKILL.md to improve progressive disclosure.

Add explicit validation/feedback checkpoints in the core workflow (e.g., confirm the session is connected before sending audio, retry/abort guidance on SessionUpdateError).

Trim the prescriptive 'Best Practices' list and de-duplicate the endpoint/auth scaffolding repeated across sections.

DimensionReasoningScore

Conciseness

Mostly efficient executable code and tables with no padding about basic concepts; minor over-explanation (e.g., repeated endpoint/auth scaffolding, some prescriptive 'best practices' prose) could be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready code across installation, auth, session configuration, event processing, and function calling, with tables covering common cases.

5 / 5

Workflow Clarity

Clear sequenced core workflow (start session, process events, send message, function calling) with an error-handling section, but it lacks explicit validation checkpoints and feedback loops for a stateful WebSocket session.

4 / 5

Progressive Disclosure

Well-organized sections, but the ~267-line body inlines API reference tables, type reference, related SDKs, and external links rather than splitting them into one-level-deep reference files; no bundle files exist.

3 / 5

Total

16

/

20

Passed

Description

53%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 clearly identifies the SDK and its primary capability but is generic on triggers and lacks an explicit 'when to use' clause. It is distinct but not comprehensive enough to score above mid-range.

Suggestions

Add an explicit 'Use when...' trigger clause naming concrete user phrases such as 'build a real-time voice assistant', 'Azure Voice Live', or 'bidirectional voice WebSocket'.

Enumerate a few more concrete capabilities (e.g., send audio, receive streamed text/audio responses, function calling) to raise specificity toward comprehensive coverage.

Include natural synonyms and the package/SDK name variants users would actually say to improve trigger-term quality.

DimensionReasoningScore

Specificity

Names the domain ('Azure AI Voice Live SDK for .NET') with 1-2 concrete actions ('Build real-time voice AI applications', 'bidirectional WebSocket communication') but does not comprehensively list multiple specific capabilities.

3 / 5

Completeness

Provides a clear 'what' but the description itself lacks a 'Use when...' trigger clause; per the rubric a missing explicit trigger caps completeness at 3.

3 / 5

Trigger Term Quality

Includes relevant terms like 'real-time voice AI applications' and 'bidirectional WebSocket communication' but misses common natural variations, synonyms, and file extensions a user would actually say.

3 / 5

Distinctiveness Conflict Risk

Scoped to a specific named SDK ('Azure AI Voice Live SDK for .NET') giving it a clear niche with only minor overlap risk against closely related Azure AI skills.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.