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Claude 0ac6249087 feat: translate final remaining Spanish text in AgenticReadinessTab 
- Translate Quick Wins insights ("have >60% volume in T1+T2")
- Translate attention alerts ("has X% in HUMAN → prioritize in Wave 1")
- Translate balanced distribution message
- Translate "have at least one tier AUTOMATE queue"
- Translate "Show less" / "View all" buttons
- Add t parameter to SkillsReadinessTable component
- All AgenticReadinessTab text now 100% bilingual (en/es)

https://claude.ai/code/session_01GNbnkFoESkRcnPr3bLCYDg
2026-02-08 14:41:56 +00:00
..
components
feat: translate final remaining Spanish text in AgenticReadinessTab
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config
Initial commit - ACME demo version
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locales
feat: translate final remaining Spanish text in AgenticReadinessTab
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styles
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utils
fix: translate remaining Spanish UI strings and comments to English
2026-02-07 11:26:26 +00:00
.gitignore
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ANALISIS_SCREEN3_HEATMAP.md
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ANALISIS_SCREEN4_VARIABILIDAD.md
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App.tsx
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CAMBIOS_IMPLEMENTADOS.md
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CHANGELOG_v2.1.md
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CHANGELOG_v2.2.md
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CHANGELOG_v2.3.md
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CLEANUP_PLAN.md
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CLEANUP_REPORT.md
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CODE_CLEANUP_SUMMARY.txt
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COMPARATIVA_VISUAL_MEJORAS.md
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constants.ts
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CORRECCIONES_FINALES_CONSOLE.md
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CORRECCIONES_FINALES_v2.md
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CORRECCIONES_RUNTIME_ERRORS.md
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data.xlsx
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datos-limpios.xlsx
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DEPLOYMENT.md
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Dockerfile
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dockerignore
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ESTADO_FINAL.md
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FEATURE_SEGMENTATION_MAPPING.md
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GENESYS_DATA_PROCESSING_REPORT.md
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GUIA_RAPIDA.md
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i18n.ts
Add English language support with i18n implementation
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IMPLEMENTACION_QUICK_WINS_SCREEN3.md
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INDEX_DELIVERABLES.md
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index.html
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index.tsx
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INFORME_CORRECCIONES.md
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informe-limpieza.txt
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MEJORAS_SCREEN2.md
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MEJORAS_SCREEN3_PROPUESTAS.md
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metadata.json
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NOTA_SEGURIDAD_XLSX.md
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package-lock.json
Add English language support with i18n implementation
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package.json
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pantalla-completa 2.png
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process_genesys_data.py
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QUICK_REFERENCE_GENESYS.txt
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QUICK_START.md
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README_FINAL.md
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README.md
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screen1.png
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screen2.png
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screen3.png
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screen4.png
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SETUP_LOCAL.md
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skills-mapping.xlsx
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start-dev.bat
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STATUS_FINAL_COMPLETO.md
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tsconfig.json
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types.ts
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VERSION.md
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vite-env.d.ts
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vite.config.ts
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README.md

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/drive/1BsN7Hj59Uxudfk5jNrmH_E1S6uDd8caP

Run Locally

Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
  3. Run the app: npm run dev
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