Mascota

This repository is prepared with a quality and secrets baseline so project implementation can start safely.

What's included

• Code quality guardrails (EditorConfig + pre-commit checks).
• Secrets-scanning baseline (gitleaks config + pre-commit hook).
• CI workflow to enforce standards on pull requests.
• Product design notes for Mascota in docs/design/clock-pet.md.
• Alexa interaction model starters with PetIntent in:
  • skill-package/interactionModels/custom/en-US.json
  • skill-package/interactionModels/custom/es-ES.json

Quick start

1. Install pre-commit:

   pip install pre-commit

2. Install hooks:

   pre-commit install

3. Run all checks locally:

   pre-commit run --all-files

Define PetIntent (Console or JSON file)

lambda/clock_pet/handlers/interaction.py expects a custom intent named PetIntent.

Option A: Alexa Developer Console (UI)

1. Open your skill at https://developer.amazon.com/alexa/console/ask.
2. Go to Build → Interaction Model → Intents.
3. Click Add Intent.
4. Enter intent name: PetIntent.
5. Add sample utterances, for example:
   • pet
   • pet mascota
   • wake up mascota (matches current help/fallback guidance)
   • pat
   • show eyes
6. Save model and click Build Model.

Option B: By file (recommended)

1. Use the checked-in model file for your locale:
   • English (US): skill-package/interactionModels/custom/en-US.json
   • Spanish (ES): skill-package/interactionModels/custom/es-ES.json
2. In Alexa Console, open JSON Editor under Interaction Model.
3. Paste the locale file content (or merge PetIntent into your existing model).
4. Save and Build Model.

If you use SMAPI/ASK CLI later, this same file can be deployed as part of your skill package.