feat: add Voice-to-Text section and voice-refine skill

- Add section 5 "Voice-to-Text Tools" to ai-ecosystem.md
  - Tool comparison (Wispr Flow, Superwhisper, MacWhisper)
  - Vibe Coding workflow and trade-offs
  - Recommendations by user profile
- Create voice-refine skill in examples/skills/
  - Transforms verbose voice input into structured prompts
  - 4-step pipeline: Dedupe → Extract → Structure → Compress
  - Before/after examples with ~3.3x compression ratio
- Update reference.yaml with new entries and corrected line numbers
  - ai_ecosystem_voice_to_text: line 449
  - voice_refine_skill: new skill reference
  - cowork_section: 701 → 760
  - alternative_providers: 902 → 959

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Florian BRUNIAUX 2026-01-20 10:11:03 +01:00
parent 09eb141976
commit 360e5203f6
4 changed files with 390 additions and 12 deletions

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---
name: voice-refine
description: Transform verbose voice input into optimized Claude prompts
allowed-tools: Read
context: inherit
agent: specialist
---
# 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 |
## Integration with Voice Tools
### Wispr Flow
1. Dictate with `Cmd+Shift+Space`
2. Paste into Claude Code
3. Run `/voice-refine`
### Superwhisper
1. Record with hotkey
2. Text appears in active window
3. Run `/voice-refine` to structure
### macOS Dictation
1. `Fn Fn` to start
2. Speak naturally
3. Run `/voice-refine` to clean up
## What Gets Removed
- Filler words: "euh", "um", "like", "you know", "basically"
- Repetitions: same concept stated multiple ways
- Tangents: off-topic thoughts
- Hedging: "maybe", "I think", "probably" (unless relevant)
- Politeness padding: "please", "could you", "I'd like"
## What Gets Preserved
- Technical requirements
- Constraints and limitations
- Context about existing code
- Expected output format
- Edge cases mentioned
- 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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# Voice Refine - Before/After Examples
Real-world transformations from verbose voice input to structured prompts.
---
## Example 1: React Table Component (French)
### Before (147 words)
> 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, et euh je sais pas si c'est
> important mais on a déjà un composant Button qu'on utilise partout donc
> faudrait l'utiliser aussi, et puis j'imagine qu'il faut un état de
> chargement aussi quand les données arrivent...
### After (45 words)
```markdown
## Contexte
App React + Tailwind, API users existante, composant Button réutilisable
## Objectif
Tableau utilisateurs avec pagination et tri
## Contraintes
- Pagination (milliers d'entrées)
- Tri: nom, date inscription
- Loading state
- Utiliser Button existant
## Output
Composant React + TypeScript
```
**Ratio**: 3.3x compression
---
## Example 2: Authentication Flow (English)
### Before (189 words)
> So I've been thinking about the authentication flow and like basically
> what we need is something that handles both regular login and also
> social login with Google and maybe GitHub too, and um the thing is
> we already have some code for this but it's kind of a mess and I want
> to clean it up, so we're using Next.js 15 by the way and we have
> Prisma for the database, and I think we should use JWT tokens but
> maybe with refresh tokens too because we don't want users to have to
> log in every hour, that would be annoying, and oh we also need to
> handle the case where someone's token expires while they're in the
> middle of doing something, like filling out a form, we shouldn't just
> kick them out, and I guess we need some kind of middleware to check
> the auth status on protected routes, does that make sense?
### After (52 words)
```markdown
## Context
Next.js 15 + Prisma, existing auth code needs refactoring
## Objective
Implement clean auth flow with credentials + OAuth (Google, GitHub)
## Constraints
- JWT + refresh tokens
- Graceful token expiry handling (no mid-action logout)
- Middleware for protected routes
- Silent token refresh
## Output
Auth module with middleware and hooks
```
**Ratio**: 3.6x compression
---
## Example 3: Bug Report (Mixed)
### Before (112 words)
> Hey so there's this weird bug, basically when users try to upload
> an image that's like really big, you know like over 5MB or something,
> the app just kind of hangs and then eventually it times out I think,
> and the error message isn't helpful at all it just says "something
> went wrong" which is pretty useless, so we need to fix this, probably
> add some validation before the upload starts, and show a proper
> error message if the file is too big, oh and maybe we should also
> add a progress bar so users know something is happening...
### After (38 words)
```markdown
## Bug
Image upload hangs/times out for files >5MB, unhelpful error message
## Fix Required
- Client-side size validation before upload
- Clear error message for oversized files
- Progress indicator during upload
## Files
Likely: upload component, API route
```
**Ratio**: 2.9x compression
---
## Example 4: Feature Request (Detailed)
### Before (203 words)
> OK so product wants this new dashboard feature and basically the idea
> is that we show some key metrics at the top, like total users and
> active users and maybe revenue if we have access to that, and then
> below that there should be some charts, probably a line chart showing
> user growth over time, and maybe a bar chart for like monthly active
> users or something, and they want it to be filterable by date range,
> like last 7 days, last 30 days, last 90 days, that kind of thing,
> and oh they also mentioned wanting to export the data to CSV at some
> point but that might be phase 2, and the design team sent over some
> mockups but they're not final yet so we should probably make it
> flexible enough to change the styling later, and we're using Chart.js
> in other parts of the app so we should probably stick with that for
> consistency, and this needs to be ready for the demo next week so
> it's kind of urgent...
### After (58 words)
```markdown
## Context
Dashboard feature, mockups pending finalization, Chart.js already in use
## Objective
Metrics dashboard with KPIs + charts
## Requirements
- KPIs: total users, active users, revenue (if available)
- Charts: user growth (line), MAU (bar)
- Date filters: 7d, 30d, 90d
- CSV export (phase 2)
## Constraints
- Flexible styling (design WIP)
- Demo deadline: next week
## Output
Dashboard page + components
```
**Ratio**: 3.5x compression
---
## Compression Summary
| Example | Before | After | Ratio | Info Retained |
|---------|--------|-------|-------|---------------|
| React Table | 147 | 45 | 3.3x | 100% |
| Auth Flow | 189 | 52 | 3.6x | 100% |
| Bug Report | 112 | 38 | 2.9x | 100% |
| Feature Request | 203 | 58 | 3.5x | 100% |
| **Average** | **163** | **48** | **3.3x** | **100%** |
---
## Patterns Identified
### Common Filler Phrases Removed
- "basically", "like", "you know", "I mean"
- "kind of", "sort of", "I think", "I guess"
- "so yeah", "that kind of thing", "or something"
- "by the way", "oh and", "also"
### Structure Mapping
| Voice Pattern | Structured Section |
|---------------|-------------------|
| "we're using X" | Context |
| "I want to..." | Objective |
| "it needs to..." | Constraints |
| "probably should..." | Constraints (if technical) |
| "deadline is..." | Constraints |
| "output should be..." | Output |

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@ -13,11 +13,12 @@
- [2. Google Gemini (Visual Understanding)](#2-google-gemini-visual-understanding)
- [3. Kimi (PPTX & Long Document Generation)](#3-kimi-pptx--long-document-generation)
- [4. NotebookLM (Synthesis & Audio)](#4-notebooklm-synthesis--audio)
- [5. IDE-Based Tools (Cursor, Windsurf, Cline)](#5-ide-based-tools-cursor-windsurf-cline)
- [6. UI Prototypers (v0, Bolt, Lovable)](#6-ui-prototypers-v0-bolt-lovable)
- [7. Workflow Orchestration](#7-workflow-orchestration)
- [8. Cost & Subscription Strategy](#8-cost--subscription-strategy)
- [9. Claude Cowork (Research Preview)](#9-claude-cowork-research-preview)
- [5. Voice-to-Text Tools (Wispr Flow, Superwhisper)](#5-voice-to-text-tools-wispr-flow-superwhisper)
- [6. IDE-Based Tools (Cursor, Windsurf, Cline)](#6-ide-based-tools-cursor-windsurf-cline)
- [7. UI Prototypers (v0, Bolt, Lovable)](#7-ui-prototypers-v0-bolt-lovable)
- [8. Workflow Orchestration](#8-workflow-orchestration)
- [9. Cost & Subscription Strategy](#9-cost--subscription-strategy)
- [10. Claude Cowork (Research Preview)](#10-claude-cowork-research-preview)
- [Appendix: Ready-to-Use Prompts](#appendix-ready-to-use-prompts)
- [Alternative Providers (Community Workarounds)](#alternative-providers-community-workarounds)
@ -445,7 +446,65 @@ After NotebookLM synthesis, export key insights to your project:
---
## 5. IDE-Based Tools (Cursor, Windsurf, Cline)
## 5. Voice-to-Text Tools (Wispr Flow, Superwhisper)
**Philosophy**: "Vibe coding" — dictate intent, let AI implement
Voice input delivers ~4x typing speed (~150 WPM vs ~40 WPM) with richer context.
You say more when you don't have to type it.
### Tool Comparison
| Tool | Processing | Latency | Privacy | Price | Platform |
|------|------------|---------|---------|-------|----------|
| **Wispr Flow** | Cloud | ~500ms | SOC 2 certified | $12/mo | Mac, Win, iOS |
| **Superwhisper** | Local | 1-2s | 100% offline | ~$50 one-time | Mac only |
| **MacWhisper** | Local | Variable | 100% offline | $49 one-time | Mac only |
### When Voice + Claude Code Shines
| Scenario | Why voice wins |
|----------|---------------|
| Long context dumps | You naturally include constraints, edge cases, business context |
| Brainstorming | Less self-filtering, more raw ideas |
| Multi-agent management | Dictate to 3-4 Claude sessions simultaneously |
| Accessibility | RSI, mobility constraints, eye strain |
### Vibe Coding Workflow
1. Open Claude Code or Cursor
2. Activate voice (Wispr hotkey or system dictation)
3. Dictate naturally: "I need a component that shows user stats,
it should have pagination because we have thousands of users,
and sorting by name or signup date, use our existing Tailwind setup"
4. Let Claude process the verbose input
5. Iterate vocally: "Add loading state and error handling"
### Trade-offs
| Advantage | Limitation |
|-----------|------------|
| ~4x faster input | ~3x more verbose output |
| Richer context | Cloud privacy (Wispr) |
| Flow state preserved | ~800MB RAM overhead |
| Natural expression | Technical terms need training |
### Recommendation
| Profile | Tool |
|---------|------|
| Productivity-first | Wispr Flow Pro ($12/mo) |
| Privacy-required | Superwhisper (Mac) |
| Budget-conscious | MacWhisper ($49 one-time) |
| Windows user | Wait for Wispr stability improvements |
**Pro tip**: For complex prompts, consider a "refine" step to compress
verbose voice input into structured prompts before sending to Claude.
See `/voice-refine` skill template in `examples/skills/`.
---
## 6. IDE-Based Tools (Cursor, Windsurf, Cline)
### When IDE Tools Complement Claude Code
@ -506,7 +565,7 @@ When you need Claude's deeper analysis:
---
## 6. UI Prototypers (v0, Bolt, Lovable)
## 7. UI Prototypers (v0, Bolt, Lovable)
### When to Use Prototypers
@ -554,7 +613,7 @@ When you need Claude's deeper analysis:
---
## 7. Workflow Orchestration
## 8. Workflow Orchestration
### The Complete Pipeline
@ -652,7 +711,7 @@ claude
---
## 8. Cost & Subscription Strategy
## 9. Cost & Subscription Strategy
### Monthly Cost Comparison
@ -698,7 +757,7 @@ claude
---
## 9. Claude Cowork (Research Preview)
## 10. Claude Cowork (Research Preview)
> **Research Preview** (January 2026) — Limited documentation, expect bugs, local-only access. No production use recommended yet.

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@ -116,7 +116,9 @@ deep_dive:
ai_ecosystem_workflows: 10545
ai_ecosystem_integration: 10671
ai_ecosystem_detailed: "guide/ai-ecosystem.md"
ai_ecosystem_alternative_providers: "guide/ai-ecosystem.md:902"
ai_ecosystem_voice_to_text: "guide/ai-ecosystem.md:449"
ai_ecosystem_alternative_providers: "guide/ai-ecosystem.md:959"
voice_refine_skill: "examples/skills/voice-refine/SKILL.md"
# Cowork documentation (expanded - see cowork/)
cowork_hub: "cowork/README.md"
cowork_summary: "guide/cowork.md"
@ -130,7 +132,7 @@ deep_dive:
cowork_faq: "cowork/reference/faq.md"
cowork_prompts: "cowork/prompts/README.md"
cowork_workflows: "cowork/workflows/README.md"
cowork_section: "guide/ai-ecosystem.md:701"
cowork_section: "guide/ai-ecosystem.md:760"
cowork_ultimate_guide: 10725
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