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Claude Skill

Voice Refine Skill

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.

Reviewed community sourceInstallable8 sections3 related pages
Browse full directoryMore frontendView source

Editor's Note

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. Covers when to use, transformation pipeline, output format.

Editorial Guide

What to do with this skill

Start with the workflow below, then drop into the upstream source only after the page has narrowed the job for you.

What this skill does

Transform verbose voice input into structured, token-efficient Claude prompts.

When to use it

cleaning up voice memos, dictation output, or speech-to-text transcriptions that contain filler words, repetitions, and unstructured thoughts.

Install and setup notes

  • Open the upstream source before treating this page as install-ready, because not every official record is meant to be dropped into a workflow unchanged.
  • Keep the context narrow. These skills are usually strongest when you load only the branch, reference set, or workflow step that matches the current task.
  • If you plan to standardize on this skill for team use, pin the upstream repo and check for updates periodically instead of assuming the official defaults are static.

Example workflow

  1. Start with a concrete task that clearly matches this skill's intended trigger: cleaning up voice memos, dictation output, or speech-to-text transcriptions that contain filler words, repetitions, and unstructured thoughts.
  2. Read the overview and first source section, then choose the smallest branch of guidance or references that solves the task in front of you.
  3. Run the change on a real file, command, or workflow, verify the result, and only then widen the skill into a repeatable team pattern.

Compatible agents

This skill is explicitly marked for Claude Code.

Claude Code

Where to go next

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Browse the wider Claude Code directory if this skill is close but not quite the right fit.

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Install source

This page does not expose a single copy-paste install command in the normalized record. Use the upstream install source below to confirm the exact steps, file paths, and current setup expectations before you add it to your stack.

Page Outline

When to UseTransformation PipelineOutput FormatContexteObjectifContraintesOutput attenduFlags

Source Content

Normalized top-level metadata comes from the directory layer. The body below is the upstream source content for this item.

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

## 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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