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deepgram-dotnet-audio-intelligence

Use when writing or reviewing C# code in this repo that enables Deepgram intelligence overlays on Speech-to-Text requests. Covers `PreRecordedSchema` analytics flags such as `Summarize`, `Topics`, `Intents`, `Sentiment`, `DetectLanguage`, `DetectEntities`, `Diarize`, and `Redact`, plus the smaller live-streaming subset on `LiveSchema`. Use `deepgram-dotnet-speech-to-text` for plain transcription and `deepgram-dotnet-text-intelligence` for analytics on already-transcribed text.

73

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

91%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.

A tight, executable skill body with runnable examples, a useful feature-availability matrix, and a layered reference list. The only gap is the absence of explicit verification checkpoints, which is minor given the non-destructive nature of the task.

DimensionReasoningScore

Conciseness

Lean and dense: feature table, two runnable quick starts, a gotchas list, and a layered API-reference pointer list with no boilerplate or explanations of concepts Claude already knows.

5 / 5

Actionability

Two complete, copy-paste-ready C# examples (REST and live WebSocket), concrete package/auth commands, and a precise key-params list; the gotchas give specific values like `Summarize = "v2"`.

5 / 5

Workflow Clarity

Sequencing is clear via labeled sections (auth -> feature availability -> quick start -> gotchas) but there are no explicit validation/verification checkpoints, which is acceptable since the skill does not describe destructive or batch operations.

4 / 5

Progressive Disclosure

Well-organized sections with a layered API-reference list pointing one level deep to in-repo source files and external docs; no bundle files exist, so the body appropriately keeps the overview inline with clearly signaled external pointers.

4 / 5

Total

18

/

20

Passed

Description

90%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.

A precise, well-scoped description that clearly states capabilities, trigger conditions, and how to disambiguate from sibling skills. Trigger-term coverage is strong but could add common synonyms a user might say.

DimensionReasoningScore

Specificity

Lists concrete actions and a comprehensive set of specific capability flags (Summarize, Topics, Intents, Sentiment, DetectLanguage, DetectEntities, Diarize, Redact) on named schemas, plus disambiguating sibling-skill routing.

5 / 5

Completeness

Explicitly answers 'what' (enables Deepgram intelligence overlays on STT requests via named schema flags) and 'when' ('Use when writing or reviewing C# code in this repo that enables Deepgram intelligence overlays').

5 / 5

Trigger Term Quality

Includes natural trigger phrasing ('writing or reviewing C# code in this repo') and analytics terms (summaries, topics, intents, sentiment), but lacks synonyms/file extensions a user might naturally say.

4 / 5

Distinctiveness Conflict Risk

Names sibling skills (`deepgram-dotnet-speech-to-text`, `deepgram-dotnet-text-intelligence`) with explicit routing for plain transcription and post-transcription analytics, giving a clear niche with minimal conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
deepgram/deepgram-dotnet-sdk
Reviewed

Table of Contents

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