arogyareddy/https-github.com-florianbruniaux-claude-code-ultimate-guide/voice-refine
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Transform verbose voice input into structured, token-efficient Claude prompts. Use when cleaning up voice memos, dictation output, or speech-to-text transcriptions that contain filler words, repetitions, and unstructured thoughts.
Install
npx vskill@latest install arogyareddy/https-github.com-florianbruniaux-claude-code-ultimate-guide/voice-refineSKILL.md
Voice Refine Skill
Transform verbose, stream-of-consciousness voice dictation into structured, token-efficient prompts for Claude Code.
When to Use
- Input from voice dictation (Wispr Flow, Superwhisper, macOS Dictation)
- Verbose text >150 words
- Contains filler words, repetitions, or tangents
- Natural speech patterns that need structure
Transformation Pipeline
Output Format
Flags
| Flag | Effect | |
|---|---|---|
--confirm | Show refined prompt before sending to Claude (default) | |
--direct | Send refined prompt directly without confirmation | |
--verbose | Keep more detail, less compression | |
--en | Output in English (default: matches input language) |
Usage Examples
Basic Usage
With Flags
Compression Metrics
| Metric | Target | |
|---|---|---|
| Token reduction | 60-70% | |
| Information retention | >95% | |
| Structure clarity | High |
Filtering Rules
Remove: filler words ("euh", "um", "like", "basically"), repetitions, tangents, hedging ("maybe", "probably" unless relevant), politeness padding ("please", "could you").
Preserve: technical requirements, constraints, existing code context, expected output format, edge cases, business logic rules.
See Also
guide/ai-ecosystem.md- Voice-to-Text Tools sectionexamples/before-after.md- Full transformation examples
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingexamples/skills/voice-refine/SKILL.md
Popularity
- 7-day trend score
- 5
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