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guydemo/music

Generate music using ElevenLabs Music API - instrumental tracks, songs with lyrics, and fine-grained composition plans

95

2.30x
Quality

93%

Does it follow best practices?

Impact

99%

2.30x

Average score across 5 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

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 well-crafted skill description that excels across all dimensions. It clearly specifies the capability (ElevenLabs Music API), lists 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.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'instrumental tracks, songs with lyrics, background music, jingles, AI-generated music composition' and mentions specific features like 'prompt-based generation, composition plans for granular control, and detailed output with metadata'.

3 / 3

Completeness

Clearly answers both what ('Generate music using ElevenLabs Music API' with specific capabilities) and when ('Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition').

3 / 3

Trigger Term Quality

Includes natural keywords users would say: 'music', 'instrumental tracks', 'songs with lyrics', 'background music', 'jingles', 'AI-generated music'. These cover common variations of music generation requests.

3 / 3

Distinctiveness Conflict Risk

Clear niche focused specifically on music generation via ElevenLabs API. The triggers are distinct (music, songs, jingles, instrumental) and unlikely to conflict with other skills like audio transcription or text-to-speech.

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 that efficiently teaches music generation with ElevenLabs. It excels at conciseness and actionability with executable examples across three languages, and uses progressive disclosure effectively. The main weakness is the workflow section could benefit from explicit validation steps for verifying generated audio quality or handling streaming errors.

Suggestions

Add a validation step after audio generation (e.g., check file size > 0, verify audio duration matches requested length)

Include error recovery guidance for streaming failures (e.g., what to do if the stream is interrupted mid-generation)

DimensionReasoningScore

Conciseness

Content is lean and efficient with no unnecessary explanations. Assumes Claude knows what lo-fi hip hop is, how APIs work, and basic programming concepts. Every section earns its place.

3 / 3

Actionability

Provides fully executable, copy-paste ready code examples in Python, JavaScript, and cURL. Concrete examples with specific parameters (music_length_ms=30000) and real output handling.

3 / 3

Workflow Clarity

The composition plan workflow shows a clear sequence (create plan → inspect/modify → compose), but lacks explicit validation checkpoints. No guidance on verifying the generated audio or handling partial failures in the streaming response.

2 / 3

Progressive Disclosure

Excellent structure with quick start upfront, methods table for overview, and clear one-level-deep references to installation guide and API reference. Content appropriately split between main skill 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.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

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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