sherpa-onnx-tts

Local text-to-speech via sherpa-onnx (offline, no cloud)

Quality

56%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./skills/sherpa-onnx-tts/SKILL.md

Quality

Content

72%

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

A concise and well-structured skill that efficiently communicates how to set up and use sherpa-onnx for local TTS. Its main weaknesses are the vague installation steps (no specific download URLs or commands) and the lack of any verification/validation steps to confirm the setup works before use.

Suggestions

Add specific download URLs or commands for the runtime and voice model (e.g., curl/wget commands or links to the sherpa-onnx releases page) to make the install steps fully actionable.

Add a verification step after installation, such as running a test command to confirm the runtime and model are correctly installed (e.g., 'Verify: `sherpa-onnx-tts --help` should print usage info').

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient. No unnecessary explanations of what TTS is or how sherpa-onnx works internally. Every section serves a clear purpose and there's no padding.	3 / 3
Actionability	Provides concrete config and CLI examples, but the install section is vague—'Download the runtime for your OS' and 'Download a voice model' lack specific URLs, commands, or download instructions. The usage example is copy-paste ready, but the setup path is incomplete.	2 / 3
Workflow Clarity	The install-configure-use sequence is present and logical, but there are no validation checkpoints—no way to verify the runtime installed correctly, that the model is valid, or that the config is correct before attempting TTS. For a multi-step setup process, this is a gap.	2 / 3
Progressive Disclosure	For a simple, single-purpose skill under 50 lines, the content is well-organized into clear sections (Install, Usage) with notes for edge cases. No need for external file references given the scope.	3 / 3
	Total	10 / 12 Passed

Description

40%

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 identifies a clear and distinctive niche (local offline TTS via sherpa-onnx), which is its main strength. However, it is too terse—it lacks specific actions the skill can perform, misses common trigger terms users would naturally use, and critically omits any 'Use when...' guidance for skill selection.

Suggestions

Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user asks to convert text to speech, generate audio, or synthesize voice locally without internet access.'

Include common natural trigger terms users would say: 'TTS', 'speech synthesis', 'read aloud', 'generate audio', 'voice generation', 'convert text to audio'.

List specific concrete actions the skill performs, e.g., 'Converts text to speech audio files, supports multiple voices and languages, generates WAV/MP3 output using sherpa-onnx models.'

Dimension	Reasoning	Score
Specificity	Names the domain (text-to-speech) and the tool (sherpa-onnx), and mentions key characteristics (offline, no cloud), but does not list specific concrete actions like 'convert text to audio files', 'generate speech from documents', etc.	2 / 3
Completeness	Provides a brief 'what' (text-to-speech via sherpa-onnx) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'what' is also quite thin, warranting a 1.	1 / 3
Trigger Term Quality	Includes 'text-to-speech' and 'sherpa-onnx' which are relevant, but misses common user variations like 'TTS', 'speech synthesis', 'read aloud', 'generate audio', 'voice', or 'convert text to speech'.	2 / 3
Distinctiveness Conflict Risk	The combination of text-to-speech, sherpa-onnx, and offline/local constraints creates a very clear niche that is unlikely to conflict with other skills. This is highly distinctive.	3 / 3
	Total	8 / 12 Passed

Validation

81%

Warnings & errors only

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

Validation — 9 / 11 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning

	Total	9 / 11 Passed

Repository: qsimeon/openclaw-engaging
Commit: 4467e04

Reviewed: 3 months ago

Table of Contents

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