voice-refine
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.
소스 정보
- 저장소
- FlorianBruniaux/claude-code-plugins
- 최근 소스 활동
- 2026년 6월 4일 07:04
- 감지된 SKILL.md 언어
- 영어
- 스타
- 42
- 포크
- 4
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
파일 탐색기
2 개 파일SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- voice-refine
- description
- 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.
- allowed-tools
- Read
- effort
- low
# 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
```
1. DEDUPE → Remove repetitions and filler words
2. EXTRACT → Identify core requirements and constraints
3. STRUCTURE → Organize into standard sections
4. COMPRESS → Reduce to ~30% of original while preserving intent
```
## Output Format
```markdown
## Contexte
[Project context, existing stack, relevant files]
## Objectif
[Single sentence: what needs to be built/changed]
## Contraintes
- [Constraint 1]
- [Constraint 2]
- [etc.]
## Output attendu
[Expected deliverables: files, format, tests]
```
## 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
```
/voice-refine
Alors euh j'aimerais que tu m'aides à faire un truc, en fait j'ai une API
qui renvoie des données utilisateurs et je voudrais les afficher dans un
tableau React, mais attention il faut que ça soit paginé parce que y'a
beaucoup de données, genre des milliers d'utilisateurs, et aussi faudrait
pouvoir trier par nom ou par date d'inscription, ah et on utilise Tailwind
dans le projet donc faut que ça matche avec ça...
```
### With Flags
```
/voice-refine --direct --en
[voice input in any language → sends English prompt directly]
```
## 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 section
- `examples/before-after.md` - Full transformation examples
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