Setup AI Tutor
Sets up and starts the AI Tutor project locally (environment file, dependencies...
Install
npx skills add coleam00/skills --skill setup-ai-tutor -g -a claude-code -y- Repository
- coleam00/skills726
- Category
- Data and ML
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 379 tokens
- Runs scripts
- No, instructions only
What it does
Sets up and starts the AI Tutor project locally (environment file, dependencies, database, migrations, and dev server). Use when standing up the AI Tutor for the first time on a new machine or after a fresh clone. This is sample-project specific; adapt it when you install the AI Layer into your own project.
Set Up the AI Tutor Locally
Run the following commands to set up and start the AI Tutor locally.
Input
None required. Run from the repository root.
Process
1. Create Environment File
cp .env.example .env
Creates your local environment configuration from the example template.
2. Install Dependencies
uv sync
Installs all Python packages defined in pyproject.toml.
3. Start Database
docker-compose up -d db
Starts PostgreSQL in a Docker container.
4. Run Database Migrations
uv run alembic upgrade head
Applies all pending database migrations.
5. Start Development Server
uv run uvicorn app.main:app --reload --port 8123
Starts the FastAPI server with hot-reload on port 8123.
6. Validate Setup
Check that everything is working:
# Test API health
curl -s http://localhost:8123/health
# Test database connection
curl -s http://localhost:8123/health/db
Both should return {"status":"healthy"} responses.
Output
A running local AI Tutor instance.
Access Points
- Swagger UI: http://localhost:8123/docs
- Health Check: http://localhost:8123/health
- Database: localhost (Docker container)
Cleanup
To stop services:
# Stop dev server: Ctrl+C
# Stop database: docker-compose down
Notes
- Port numbers and the exact
docker-composeservice name may differ, checkdocker-compose.yml,.env.example, and the project README for project-specific values before running.
