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deepgram-js-conversational-stt

Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (`/v2/listen`) for turn-aware streaming transcription. Covers `client.listen.v2.createConnection()` / `connect()`, Flux models, and turn events like `TurnInfo`. Use `deepgram-js-speech-to-text` for standard v1 ASR and `deepgram-js-voice-agent` for full-duplex assistants. Triggers include "flux", "v2 listen", "conversational STT", "turn detection", "end of turn", "EOT", and "listen.v2".

80

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is concise, highly actionable, and well-structured, with executable code, concrete file paths, and pointed gotchas rather than generic explanation. Workflow ordering and progressive disclosure are both clear and appropriately layered.

DimensionReasoningScore

Conciseness

Lean and efficient with no conceptual padding: the quick-start code carries minimal commentary, and sections (parameters, gotchas, API reference) each earn their place without explaining basics Claude already knows.

3 / 3

Actionability

Provides fully executable quick-start code, exact source-file paths for the API surface (`src/api/resources/listen/resources/v2/client/{Client,Socket}.ts`), and concrete gotchas (close with `sendCloseStream`, `ping()` is Node-only) — copy-paste ready guidance.

3 / 3

Workflow Clarity

The connect sequence is clearly ordered — createConnection, register handlers, connect(), waitForOpen, sendMedia, sendCloseStream — with the lazy-connection ordering called out as a gotcha; this is a streaming-connection skill rather than a destructive/batch operation, so no validation checkpoint is required.

3 / 3

Progressive Disclosure

Well-organized into clear sections with one-level-deep external references (OpenAPI, AsyncAPI, Context7, product docs) and in-repo source pointers; no bundle files exist, and there are no nested/multi-hop references, satisfying the simple-skill allowance.

3 / 3

Total

12

/

12

Passed

Description

100%

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 specific, trigger-rich, and explicitly disambiguated from sibling skills, cleanly answering both what the skill does and when to use it. It avoids fluff and verbosity while naming concrete API calls and natural trigger terms.

DimensionReasoningScore

Specificity

Lists concrete actions and API surface: `client.listen.v2.createConnection()` / `connect()`, Flux models, and turn events like `TurnInfo` for turn-aware streaming transcription, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Clearly answers both what (turn-aware streaming STT via `/v2/listen` with named API calls and events) and when, opening with an explicit 'Use when writing or reviewing...' clause plus a dedicated triggers sentence.

3 / 3

Trigger Term Quality

Explicit trigger list includes natural terms users would say — 'flux', 'v2 listen', 'conversational STT', 'turn detection', 'end of turn', 'EOT', and 'listen.v2' — giving good coverage of natural phrasings.

3 / 3

Distinctiveness Conflict Risk

Clear niche (v2/Flux conversational STT) with explicit disambiguation — 'Use `deepgram-js-speech-to-text` for standard v1 ASR and `deepgram-js-voice-agent` for full-duplex assistants' — making wrong-skill triggering unlikely.

3 / 3

Total

12

/

12

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-js-sdk
Reviewed

Table of Contents

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