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add-dictation

Use when the user runs /add-dictation or wants speech turned into text with Grok speech-to-text: a mic button that dictates into the composer, live captions, or transcribing recorded audio (files, uploads, URLs) with word timestamps, diarization, subtitles, meeting notes. STT, transcribe, transcription. For a voice agent that talks back use /add-voice.

78

Quality

98%

Does it follow best practices?

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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.

A dense, highly actionable single-file skill with executable code for every path and explicit validation checkpoints. The only weakness is mild: reference-like content (options table, Python twin) is inlined rather than offloaded to separate files, leaving progressive disclosure one notch below the top.

Suggestions

Move the Options table and/or the Python twin into a references/ file (e.g. OPTIONS.md, PYTHON.md) and link to them from the Steps section to deepen progressive disclosure.

Keep a short 'Quick start' batch snippet near the top so the default path is discoverable before the streaming detail.

DimensionReasoningScore

Conciseness

Lean and dense — no tutorials on what STT is or how libraries work; tables, code blocks, and inline comments each earn their place and assume Claude's competence.

5 / 5

Actionability

Fully executable, copy-paste-ready code for the server, client, WebSocket relay, AudioWorklet capture, and a Python twin, plus concrete curl smoke tests covering the common batch and streaming cases.

5 / 5

Workflow Clarity

Steps 1–6 are clearly sequenced (map app → batch/streaming → options → python twin → smoke) with explicit validation in the Smoke step (curl→200, key-bundle search, expected 400) and a feedback loop for the word-vanish boundary case.

5 / 5

Progressive Disclosure

Well-organized into clear sections (Docs, Pick the path, Auth, Steps, Out of scope), but ~155 lines with reference-dense material (the options table and Python twin) kept inline rather than split into one-level-deep reference files.

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.

A highly specific, well-triggered description that explicitly covers what the skill does, when to invoke it, and how it differs from the related /add-voice skill. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'mic button that dictates into the composer, live captions, or transcribing recorded audio (files, uploads, URLs) with word timestamps, diarization, subtitles, meeting notes' — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both: 'what' (mic button, live captions, transcribing recorded audio with timestamps/diarization/subtitles/meeting notes) and 'when' ('Use when the user runs /add-dictation or wants speech turned into text...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural terms and synonyms a user would say — 'speech turned into text', 'speech-to-text', 'STT, transcribe, transcription', 'dictates', 'live captions' — covering the common phrasings.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (speech-to-text only) and explicitly disambiguates the adjacent skill — 'For a voice agent that talks back use /add-voice' — minimizing conflict risk.

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

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