elevenlabs

Convert documents and text to audio using ElevenLabs text-to-speech. Use this skill when the user wants to create a podcast, narrate a document, read aloud text, generate audio from a file, or convert text to speech.

Quality

—

Does it follow best practices?

Impact

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No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

87%

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

A compact, highly actionable skill body with executable commands that match the bundled scripts and well-structured sections. The main gap is the podcast workflow's lack of explicit validation/feedback checkpoints before audio generation, which bounds workflow clarity.

Suggestions

Add validation checkpoints to the podcast workflow, e.g. verify extract.py returned non-empty text before drafting the script, and confirm the JSON script parses and each turn is under 3000 chars before running the podcast command.

Include a brief verify/feedback step after generation (e.g. confirm the output MP3 exists and has a non-zero size, or report character usage) so the workflow has an explicit recovery loop.

Note the ELEVENLABS_API_KEY requirement more visibly near the commands so failures from a missing key surface early rather than mid-workflow.

Dimension	Reasoning	Score
Conciseness	Lean body that assumes Claude's competence; it avoids explaining what TTS or PDFs are and reserves prose for genuinely non-obvious guidance (podcast script-writing rules), with every token earning its place.	3 / 3
Actionability	Provides fully executable, copy-paste-ready CLI commands for every subcommand (voices/tts/podcast) plus concrete config and JSON-script examples, and the documented flags match the actual argparse signatures in the bundled scripts.	3 / 3
Workflow Clarity	The podcast workflow is a clear 5-step sequence, but it lacks explicit validation checkpoints (e.g., confirm extract.py produced text, confirm the script JSON is well-formed before generation) for a batch/audio-generation operation, so per the rubric it caps at 2.	2 / 3
Progressive Disclosure	Well-organized into overview/when-to-use/setup/commands/workflow/tips, with one-level-deep references to real bundled scripts (elevenlabs.py, extract.py) that exist on disk; no nested references and no monolithic wall of text.	3 / 3
	Total	11 / 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.

A concise, well-formed description that names the tool, lists concrete actions in third person, and provides explicit trigger guidance covering natural user phrasings. It cleanly satisfies the what/when requirement and is clearly distinguishable.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions in third person ("Convert documents and text to audio", "create a podcast", "narrate a document", "read aloud text", "generate audio from a file", "convert text to speech") rather than vague language.	3 / 3
Completeness	Explicitly answers both what it does (ElevenLabs TTS to audio) and when to use it via a "Use this skill when the user wants to..." clause with enumerated triggers.	3 / 3
Trigger Term Quality	Covers natural phrasings a user would actually say ("create a podcast", "narrate a document", "read aloud text", "convert text to speech", "audio from a file") with good variation rather than technical jargon.	3 / 3
Distinctiveness Conflict Risk	Anchored to a clear niche (ElevenLabs text-to-speech / podcast generation) with distinct triggers unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: sanjay3290/ai-skills
Commit: 9731c77

Reviewed: 4 days ago

Table of Contents

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