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deepgram-java-text-to-speech

Use when writing or reviewing Java code in this repo that calls Deepgram Text-to-Speech v1 (`/v1/speak`) for audio synthesis. Covers one-shot REST via `client.speak().v1().audio().generate(...)` and streaming synthesis via `client.speak().v1().v1WebSocket()`. Use `deepgram-java-voice-agent` for full-duplex assistants instead of one-way synthesis. Triggers include "tts", "text to speech", "speak", "aura", "streaming tts", and "speak websocket".

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 a tight, executable reference for both REST and WebSocket TTS synthesis, with well-organized sections, justified inline notes, and clearly signaled external sources of truth. It assumes Claude's competence while surfacing the non-obvious gotchas that matter.

DimensionReasoningScore

Conciseness

The body is code-first and lean; prose is limited to genuinely non-obvious notes (e.g. "Log write failures rather than throwing from the WebSocket callback thread") and does not re-explain concepts Claude already knows, so every token earns its place.

3 / 3

Actionability

Provides fully executable, import-complete Java for REST, WebSocket, and async paths plus a verified parameter list, making the examples copy-paste ready rather than pseudocode.

3 / 3

Workflow Clarity

Each synthesis flow is an unambiguous sequence (connect → sendText → sendFlush → sendClose with handler registration) with error-logging feedback; there are no destructive or batch operations that would demand additional validation checkpoints.

3 / 3

Progressive Disclosure

No bundle files exist, and the body is organized into clearly signaled one-level references — in-repo source paths and external OpenAPI/AsyncAPI/doc URLs — with no nested multi-hop references, matching the score-3 anchor for clear overview plus well-signaled navigation.

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, well-triggered, and self-disambiguating, covering both REST and WebSocket synthesis paths while explicitly handing off full-duplex use cases. It answers what and when concisely without fluff.

DimensionReasoningScore

Specificity

Names multiple concrete actions: "one-shot REST via `client.speak().v1().audio().generate(...)`" and "streaming synthesis via `client.speak().v1().v1WebSocket()`", matching the score-3 anchor listing several specific actions.

3 / 3

Completeness

Explicitly answers both what (Deepgram TTS v1 audio synthesis via REST and WebSocket) and when ("Use when writing or reviewing Java code in this repo that calls Deepgram Text-to-Speech v1"), satisfying the score-3 anchor for both with explicit triggers.

3 / 3

Trigger Term Quality

Lists natural terms a user would say — "tts", "text to speech", "speak", "aura", "streaming tts", and "speak websocket" — giving good coverage of common variations rather than jargon.

3 / 3

Distinctiveness Conflict Risk

Carves a clear Java/Deepgram-TTS-v1 niche and actively reduces conflict by redirecting full-duplex assistants to `deepgram-java-voice-agent`, so it is unlikely to trigger for the wrong skill.

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-java-sdk
Reviewed

Table of Contents

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