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>
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Florian BRUNIAUX
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examples/skills/voice-refine/SKILL.md
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examples/skills/voice-refine/SKILL.md
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---
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name: voice-refine
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description: Transform verbose voice input into optimized Claude prompts
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allowed-tools: Read
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context: inherit
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agent: specialist
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---
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# Voice Refine Skill
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Transform verbose, stream-of-consciousness voice dictation into structured,
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token-efficient prompts for Claude Code.
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## When to Use
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- Input from voice dictation (Wispr Flow, Superwhisper, macOS Dictation)
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- Verbose text >150 words
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- Contains filler words, repetitions, or tangents
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- Natural speech patterns that need structure
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## Transformation Pipeline
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```
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1. DEDUPE → Remove repetitions and filler words
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2. EXTRACT → Identify core requirements and constraints
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3. STRUCTURE → Organize into standard sections
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4. COMPRESS → Reduce to ~30% of original while preserving intent
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```
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## Output Format
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```markdown
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## Contexte
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[Project context, existing stack, relevant files]
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## Objectif
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[Single sentence: what needs to be built/changed]
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## Contraintes
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- [Constraint 1]
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- [Constraint 2]
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- [etc.]
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## Output attendu
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[Expected deliverables: files, format, tests]
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```
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## Flags
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| Flag | Effect |
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|------|--------|
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| `--confirm` | Show refined prompt before sending to Claude (default) |
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| `--direct` | Send refined prompt directly without confirmation |
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| `--verbose` | Keep more detail, less compression |
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| `--en` | Output in English (default: matches input language) |
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## Usage Examples
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### Basic Usage
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```
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/voice-refine
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Alors euh j'aimerais que tu m'aides à faire un truc, en fait j'ai une API
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qui renvoie des données utilisateurs et je voudrais les afficher dans un
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tableau React, mais attention il faut que ça soit paginé parce que y'a
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beaucoup de données, genre des milliers d'utilisateurs, et aussi faudrait
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pouvoir trier par nom ou par date d'inscription, ah et on utilise Tailwind
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dans le projet donc faut que ça matche avec ça...
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```
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### With Flags
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```
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/voice-refine --direct --en
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[voice input in any language → sends English prompt directly]
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```
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## Compression Metrics
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| Metric | Target |
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|--------|--------|
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| Token reduction | 60-70% |
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| Information retention | >95% |
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| Structure clarity | High |
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## Integration with Voice Tools
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### Wispr Flow
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1. Dictate with `Cmd+Shift+Space`
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2. Paste into Claude Code
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3. Run `/voice-refine`
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### Superwhisper
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1. Record with hotkey
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2. Text appears in active window
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3. Run `/voice-refine` to structure
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### macOS Dictation
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1. `Fn Fn` to start
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2. Speak naturally
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3. Run `/voice-refine` to clean up
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## What Gets Removed
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- Filler words: "euh", "um", "like", "you know", "basically"
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- Repetitions: same concept stated multiple ways
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- Tangents: off-topic thoughts
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- Hedging: "maybe", "I think", "probably" (unless relevant)
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- Politeness padding: "please", "could you", "I'd like"
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## What Gets Preserved
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- Technical requirements
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- Constraints and limitations
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- Context about existing code
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- Expected output format
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- Edge cases mentioned
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- Business logic rules
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## See Also
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- `guide/ai-ecosystem.md` - Voice-to-Text Tools section
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- `examples/before-after.md` - Full transformation examples
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examples/skills/voice-refine/examples/before-after.md
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examples/skills/voice-refine/examples/before-after.md
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# Voice Refine - Before/After Examples
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Real-world transformations from verbose voice input to structured prompts.
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---
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## Example 1: React Table Component (French)
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### Before (147 words)
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> Alors euh j'aimerais que tu m'aides à faire un truc, en fait j'ai une API
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> qui renvoie des données utilisateurs et je voudrais les afficher dans un
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> tableau React, mais attention il faut que ça soit paginé parce que y'a
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> beaucoup de données, genre des milliers d'utilisateurs, et aussi faudrait
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> pouvoir trier par nom ou par date d'inscription, ah et on utilise Tailwind
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> dans le projet donc faut que ça matche avec ça, et euh je sais pas si c'est
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> important mais on a déjà un composant Button qu'on utilise partout donc
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> faudrait l'utiliser aussi, et puis j'imagine qu'il faut un état de
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> chargement aussi quand les données arrivent...
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### After (45 words)
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```markdown
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## Contexte
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App React + Tailwind, API users existante, composant Button réutilisable
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## Objectif
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Tableau utilisateurs avec pagination et tri
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## Contraintes
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- Pagination (milliers d'entrées)
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- Tri: nom, date inscription
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- Loading state
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- Utiliser Button existant
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## Output
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Composant React + TypeScript
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```
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**Ratio**: 3.3x compression
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---
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## Example 2: Authentication Flow (English)
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### Before (189 words)
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> So I've been thinking about the authentication flow and like basically
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> what we need is something that handles both regular login and also
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> social login with Google and maybe GitHub too, and um the thing is
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> we already have some code for this but it's kind of a mess and I want
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> to clean it up, so we're using Next.js 15 by the way and we have
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> Prisma for the database, and I think we should use JWT tokens but
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> maybe with refresh tokens too because we don't want users to have to
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> log in every hour, that would be annoying, and oh we also need to
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> handle the case where someone's token expires while they're in the
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> middle of doing something, like filling out a form, we shouldn't just
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> kick them out, and I guess we need some kind of middleware to check
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> the auth status on protected routes, does that make sense?
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### After (52 words)
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```markdown
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## Context
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Next.js 15 + Prisma, existing auth code needs refactoring
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## Objective
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Implement clean auth flow with credentials + OAuth (Google, GitHub)
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## Constraints
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- JWT + refresh tokens
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- Graceful token expiry handling (no mid-action logout)
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- Middleware for protected routes
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- Silent token refresh
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## Output
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Auth module with middleware and hooks
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```
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**Ratio**: 3.6x compression
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---
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## Example 3: Bug Report (Mixed)
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### Before (112 words)
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> Hey so there's this weird bug, basically when users try to upload
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> an image that's like really big, you know like over 5MB or something,
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> the app just kind of hangs and then eventually it times out I think,
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> and the error message isn't helpful at all it just says "something
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> went wrong" which is pretty useless, so we need to fix this, probably
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> add some validation before the upload starts, and show a proper
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> error message if the file is too big, oh and maybe we should also
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> add a progress bar so users know something is happening...
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### After (38 words)
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```markdown
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## Bug
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Image upload hangs/times out for files >5MB, unhelpful error message
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## Fix Required
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- Client-side size validation before upload
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- Clear error message for oversized files
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- Progress indicator during upload
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## Files
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Likely: upload component, API route
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```
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**Ratio**: 2.9x compression
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---
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## Example 4: Feature Request (Detailed)
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### Before (203 words)
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> OK so product wants this new dashboard feature and basically the idea
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> is that we show some key metrics at the top, like total users and
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> active users and maybe revenue if we have access to that, and then
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> below that there should be some charts, probably a line chart showing
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> user growth over time, and maybe a bar chart for like monthly active
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> users or something, and they want it to be filterable by date range,
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> like last 7 days, last 30 days, last 90 days, that kind of thing,
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> and oh they also mentioned wanting to export the data to CSV at some
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> point but that might be phase 2, and the design team sent over some
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> mockups but they're not final yet so we should probably make it
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> flexible enough to change the styling later, and we're using Chart.js
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> in other parts of the app so we should probably stick with that for
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> consistency, and this needs to be ready for the demo next week so
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> it's kind of urgent...
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### After (58 words)
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```markdown
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## Context
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Dashboard feature, mockups pending finalization, Chart.js already in use
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## Objective
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Metrics dashboard with KPIs + charts
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## Requirements
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- KPIs: total users, active users, revenue (if available)
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- Charts: user growth (line), MAU (bar)
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- Date filters: 7d, 30d, 90d
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- CSV export (phase 2)
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## Constraints
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- Flexible styling (design WIP)
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- Demo deadline: next week
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## Output
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Dashboard page + components
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```
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**Ratio**: 3.5x compression
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---
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## Compression Summary
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| Example | Before | After | Ratio | Info Retained |
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|---------|--------|-------|-------|---------------|
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| React Table | 147 | 45 | 3.3x | 100% |
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| Auth Flow | 189 | 52 | 3.6x | 100% |
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| Bug Report | 112 | 38 | 2.9x | 100% |
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| Feature Request | 203 | 58 | 3.5x | 100% |
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| **Average** | **163** | **48** | **3.3x** | **100%** |
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---
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## Patterns Identified
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### Common Filler Phrases Removed
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- "basically", "like", "you know", "I mean"
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- "kind of", "sort of", "I think", "I guess"
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- "so yeah", "that kind of thing", "or something"
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- "by the way", "oh and", "also"
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### Structure Mapping
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| Voice Pattern | Structured Section |
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|---------------|-------------------|
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| "we're using X" | Context |
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| "I want to..." | Objective |
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| "it needs to..." | Constraints |
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| "probably should..." | Constraints (if technical) |
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| "deadline is..." | Constraints |
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| "output should be..." | Output |
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