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project-methodology

Enforce a standardized methodology for multi-agent FastAPI and Vue development.

Updated Oct 28, 2025
Search Tags:#tdd#methodology#fastapi#vue#multi-agent#docker#alembic
One-click install
npx skills add https://github.com/kilburn/AIseminar --skill project-methodology
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-methodology
Source: https://github.com/kilburn/AIseminar/tree/main/task-scheduler-in-vue-tailwind-and-fastapi/.claude/skills/project-methodology
Command: npx skills add https://github.com/kilburn/AIseminar --skill project-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multi-agent AI development on complex projects like FastAPI + Vue applications requires a clear, consistent methodology. This Skill defines the workflow, ensuring agents work cohesively, follow best practices, and maintain code quality, leading to faster, more reliable development cycles.

Core Features & Use Cases

  • Multi-agent TDD: Guides agents through a Test-Driven Development cycle, ensuring features are test-first and minimally implemented, reducing bugs.
  • Database-aware Development: Emphasizes inspecting schemas and using Alembic for safe, controlled database changes, preventing data loss and inconsistencies.
  • Separation of Concerns: Promotes granular agent roles and the use of Skills for reusable knowledge, optimizing token usage and improving maintainability.
  • Use Case: When initiating a new development sprint, use this Skill to align all AI agents on the project's core principles, ensuring a structured, efficient, and high-quality development process from day one.

Quick Start

Using the project-methodology skill, explain the core principles of multi-agent TDD.

Frequently Asked Questions about project-methodology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement test-driven development across FastAPI and Vue projects?▼

Test-driven development for FastAPI and Vue involves writing tests first, then minimal implementation. This Skill standardizes that TDD workflow across multi-agent teams, ensuring features are validated before code ships, reducing bugs and maintaining code quality throughout backend services and frontend components.

What's the best way to manage database migrations safely in FastAPI projects?▼

Use Alembic for controlled database migrations with automated revision tracking. This Skill emphasizes inspecting schemas before changes and managing migrations through Alembic to prevent data loss and inconsistencies across your FastAPI application lifecycle.

How do I coordinate multiple AI agents on a FastAPI and Vue development project?▼

Multi-agent AI development requires a consistent methodology defining roles, workflows, and best practices. This Skill provides a structured approach for agents to work cohesively on FastAPI backends and Vue frontends using TDD, dependency injection, SQLAlchemy models, and Docker-based testing.

Can I use Docker with FastAPI and Vue for local testing and debugging?▼

Yes. This Skill specifies Docker-based testing and debugging workflows for FastAPI services with Vue frontends, enabling consistent local and CI environments. Docker containerization supports reproducible testing across multi-agent development teams.

What patterns should I follow for Vue 3 frontend development with FastAPI backends?▼

Vue 3 Composition API, Pinia state management, Tailwind CSS styling, and relative API calls create a cohesive frontend pattern. This Skill standardizes these patterns alongside asynchronous FastAPI endpoints with dependency injection and Pydantic schemas for type-safe API contracts.

Why use minimal implementation in test-driven development for team projects?▼

Minimal implementation focuses code review and iteration cycles on essential features, reducing scope creep and token usage in multi-agent workflows. This Skill enforces minimal implementation paired with review, merge, and documentation updates to maintain efficiency and code quality.

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