voice-refine

Solid

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.

AI & Automation 4,957 stars 661 forks Updated today CC-BY-SA-4.0

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Skill Content

# 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 ...

Details

Author
FlorianBruniaux
Repository
FlorianBruniaux/claude-code-ultimate-guide
Created
5 months ago
Last Updated
today
Language
Python
License
CC-BY-SA-4.0

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