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.
94
86%
Does it follow best practices?
Impact
95%
1.28xAverage score across 14 eval scenarios
Passed
No known issues
Quality
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 strong skill description that follows best practices closely. It uses third person voice, provides specific capabilities, includes an explicit 'Use when...' clause with natural trigger terms, and is clearly distinguishable from other skills through the ElevenLabs and TTS focus. The description is concise yet comprehensive.
| 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'. These are concrete, actionable capabilities. | 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 in 70+ languages') with an explicit 'Use when...' clause. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'text to speech', 'ElevenLabs', 'voice AI', 'audio', 'voiceovers', 'voice apps', 'synthesizing speech', 'languages'. These are terms users would naturally use when requesting this functionality. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific mention of 'ElevenLabs', 'text to speech', and 'voice AI'. This clearly carves out a niche around TTS/voice synthesis and is unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, well-organized API reference skill with excellent actionability through complete, executable code examples across multiple languages. Its main weaknesses are moderate verbosity in explanatory sections (voice settings descriptions, output format table) and the lack of a cohesive multi-step workflow with validation checkpoints for common tasks like batch audio generation.
Suggestions
Trim explanatory text for voice settings and text normalization—Claude understands these concepts; just list the parameters with their value ranges and defaults.
Reduce the output formats table to the 4-5 most common formats and move the full list to a reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good code examples, but includes some unnecessary explanations Claude already knows (e.g., explaining what text normalization does, what stability/similarity boost mean conceptually, explaining what request stitching solves). The voice settings descriptions and the full output formats table with descriptions add bulk that could be trimmed. | 2 / 3 |
Actionability | Excellent actionability with fully executable code examples in Python, JavaScript, and cURL. Every feature section includes copy-paste ready code with real voice IDs, model IDs, and parameter values. The examples are complete and immediately usable. | 3 / 3 |
Workflow Clarity | The skill covers individual API calls well but lacks a clear multi-step workflow for common use cases like generating long-form audio (request stitching is shown but not as part of a validated workflow). Error handling is present but there's no explicit validation/verification step to confirm audio output quality or completeness. | 2 / 3 |
Progressive Disclosure | Well-structured with a clear quick start, logically organized sections progressing from basic to advanced, and appropriate references to external files (installation.md, streaming.md, voice-settings.md) that are one level deep and clearly signaled. | 3 / 3 |
Total | 10 / 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 | |
- Repository
- elevenlabs/skills
- Commit
0d4db3b
- Reviewed
Table of Contents
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