CtrlK
BlogDocsLog inGet started
Tessl Logo

add-read-aloud

Use when the user runs /add-read-aloud or wants the app to speak text with Grok text-to-speech: read-aloud button on assistant replies, auto-speak, TTS, voice output, narration, IVR prompts, speech tags, voice_id. For a two-way voice agent use /add-voice. For speech-to-text use /add-dictation.

78

Quality

98%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

96%Weight 40%Scale 1-5

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

The body is highly actionable and well-sequenced with strong validation checkpoints and no basic-concept padding. Its only weakness is progressive disclosure: everything lives inline in one file rather than being split into referenced bundle files.

Suggestions

Move the large Options table (voice list, languages, replace rules, timestamp/telephony codecs) into a references/ file (e.g. OPTIONS.md) and summarize the common cases inline with a one-level-deep pointer.

Extract the streaming-path relay and AudioContext scheduler code into a scripts/ or references/ file, keeping only a concise batch example and a streaming summary in SKILL.md.

Consider a references/voices.md for the 28 built-in voices and custom-voice workflow so the main body stays a navigable overview.

DimensionReasoningScore

Conciseness

Lean and dense with API-specific gotchas (Safari blob-duration Infinity, autoplay policy, 15k-char split-and-prefetch, browser WebSocket header limits); it assumes Claude's competence and never pads with basic concepts Claude already knows.

5 / 5

Actionability

Fully executable copy-paste code for both paths — server speak(), client readAloud()/stop(), streaming relay via WebSocketServer, streaming AudioContext scheduler, a Python twin, and a curl smoke test — covering the common batch and streaming cases.

5 / 5

Workflow Clarity

A clear 7-step sequence (Map the app → Prepare text → Batch → Streaming → Options → Python twin → Smoke) with explicit validation in step 7 (curl status codes, in-app state checks, text-prep unit tests, key-leak grep) and error-mapping feedback loops (422/404/429→retry).

5 / 5

Progressive Disclosure

Well-organized into clear sections (Docs, Pick the path, Auth, Steps, Options, Out of scope) with external docs cited appropriately, but it is a single self-contained file with no one-level-deep split into reference bundle files; the dense Options/timestamp table could be factored out.

4 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

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 is exemplary: concrete capabilities, comprehensive natural trigger terms, explicit Use-when guidance, and explicit disambiguation from sibling voice skills. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Names the Grok TTS domain and lists multiple concrete actions — "read-aloud button on assistant replies, auto-speak, TTS, voice output, narration, IVR prompts, speech tags, voice_id" — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both: an explicit "Use when the user runs /add-read-aloud or wants the app to speak text with Grok text-to-speech" trigger and a concrete "what" listing the speaker button, auto-speak, and narration capabilities.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including the slash command "/add-read-aloud" and synonyms a user would say — "speak text", "TTS", "voice output", "narration", "IVR prompts", "speech tags", "voice_id".

5 / 5

Distinctiveness Conflict Risk

Clear read-aloud niche and it actively disambiguates siblings — "For a two-way voice agent use /add-voice. For speech-to-text use /add-dictation." — minimizing the chance of triggering the wrong voice skill.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
cursor/plugins
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.