text-to-speech
Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 70+ languages.
93
Does it follow best practices?
Validation for skill structure
Discovery
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.
This is a well-crafted skill description that excels across all dimensions. It clearly identifies the specific capability (ElevenLabs TTS), provides multiple concrete use cases, includes an explicit 'Use when...' clause with natural trigger terms, and occupies a distinct niche that won't conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Convert text to speech', 'generating audio from text', 'creating voiceovers', 'building voice apps', 'synthesizing speech in 70+ languages'. Uses third person voice correctly. | 3 / 3 |
Completeness | Clearly answers both what ('Convert text to speech using ElevenLabs voice AI') and when ('Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech'). Explicit 'Use when...' clause present. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'text to speech', 'audio', 'voiceovers', 'voice apps', 'speech', 'ElevenLabs'. These are terms users naturally use when seeking TTS functionality. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche with distinct triggers around voice/audio/TTS/ElevenLabs. Unlikely to conflict with other skills as it specifically targets text-to-speech conversion with a named service (ElevenLabs). | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill with excellent actionability and conciseness. It provides comprehensive, executable examples across multiple languages and clearly documents all API options. The main weakness is the lack of explicit validation steps for multi-request workflows like request stitching, where verifying audio quality between chunks would be valuable.
Suggestions
Add a validation step in the request stitching section to verify audio quality before proceeding to the next chunk (e.g., checking file size, duration, or playing back to confirm no artifacts)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing only necessary information without explaining concepts Claude already knows. Each section delivers actionable content without padding or unnecessary context. | 3 / 3 |
Actionability | Provides fully executable, copy-paste ready code examples in Python, JavaScript, and cURL. Includes specific voice IDs, model IDs, and concrete parameter values that can be used immediately. | 3 / 3 |
Workflow Clarity | While individual operations are clear, the skill lacks explicit validation checkpoints. The request stitching section shows a multi-step process but doesn't include verification steps to confirm audio quality or successful generation before proceeding. | 2 / 3 |
Progressive Disclosure | Excellent structure with a quick start section followed by detailed features, and clear one-level-deep references to installation, streaming, and voice settings documentation. Content is appropriately split between overview and reference files. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
81%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 | |
- Reviewed
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