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project-methodology

@kilburn/AIseminar
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High‑level development methodology for AI‑assisted FastAPI + Vue projects.

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SKILL.md

name project-methodology
description High‑level development methodology for AI‑assisted FastAPI + Vue projects.

Project Methodology Skill

This skill encapsulates the overarching philosophy behind this plugin’s workflow. It is intended to be invoked implicitly when coordinating multi‑agent development.

Multi‑agent TDD

  • Tests first. Each new feature begins with a failing test written by the @test‑automator. Tests act as the specification for the desired behaviour.
  • Minimal implementation. The @coder writes the minimal code necessary to satisfy the test and nothing more. Avoid premature optimisation or refactoring.
  • Review and merge. The @reviewer runs the full test suite in a Docker container, then creates a branch, commits the changes and opens a pull request when all tests pass. The @documenter updates documentation accordingly.

Database‑aware development

  • Always inspect the current schema using db:list_tables and db:get_table_schema before modifying models. This aligns code with reality and prevents mismatches.
  • Use Alembic migrations to apply schema changes. Generate migrations via alembic revision --autogenerate -m "description" but do not run them manually; tests and deployments will handle applying them.

Separation of concerns

  • Each agent has a single, focused purpose. This follows the recommended design pattern of granular plugins and minimal token usage.
  • Common knowledge and reusable instructions are extracted into Skills. Skills provide progressive disclosure and are only loaded when needed.

Code conventions

  • Backend: Use asynchronous FastAPI endpoints with dependency injection. SQLAlchemy models should be defined using declarative syntax. Pydantic schemas validate request and response data.
  • Frontend: Build components with the Vue 3 Composition API. Use Pinia for state management and Tailwind CSS classes for styling. API calls should use relative paths (e.g. /api/tasks).
  • Environment configuration: Use .env files and environment variables to configure database credentials, API URLs and other secrets. Do not commit secrets to version control.

Development tips

  • Regularly run docker compose -f docker/docker-compose.yaml ps to check service health and docker compose -f docker/docker-compose.yaml logs -f to view logs. Stop services with docker compose -f docker/docker-compose.yaml down when done.
  • When debugging, reproduce errors inside Docker to ensure environment consistency. Avoid running tests directly on your host machine unless you mirror the container setup.
  • Document your changes as you go. Good documentation improves maintainability and helps others understand your design decisions.