sqlmodel-task-models — community sqlmodel-task-models, community, ide skills

v1.0.0

이 스킬 정보

강력한 SQLModel 작업 모델링 및 PostgreSQL 최적화가 필요한 Python 데이터베이스 에이전트에 적합합니다. This skill should be used when defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

sarimofficial sarimofficial
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Updated: 2/1/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

강력한 SQLModel 작업 모델링 및 PostgreSQL 최적화가 필요한 Python 데이터베이스 에이전트에 적합합니다. This skill should be used when defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

이 스킬을 사용하는 이유

SQLModel을 사용하여 유형 안전 및 비동기 호환 데이터베이스 스키마를 정의하는 에이전트를 가능하게 하며 Better Auth와의 호환성을 보장하고 PostgreSQL에 최적화되며 사용자 모델, 작업 모델 및 관계 무결성 등의 기능을 제공합니다.

최적의 용도

강력한 SQLModel 작업 모델링 및 PostgreSQL 최적화가 필요한 Python 데이터베이스 에이전트에 적합합니다.

실행 가능한 사용 사례 for sqlmodel-task-models

Todo 애플리케이션을 위한 강력한 데이터베이스 스키마를 정의합니다
Better Auth와의 호환성을 보장합니다
PostgreSQL의 데이터베이스 성능을 최적화합니다

! 보안 및 제한 사항

  • SQLModel 및 PostgreSQL가 필요합니다
  • Python 호환성이 필요합니다

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

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FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is sqlmodel-task-models?

강력한 SQLModel 작업 모델링 및 PostgreSQL 최적화가 필요한 Python 데이터베이스 에이전트에 적합합니다. This skill should be used when defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

How do I install sqlmodel-task-models?

Run the command: npx killer-skills add sarimofficial/HackathonlPhase-IV-AI-Powered-Kubernetes-Deployment-Minikube-Helm-kubectl-ai-Kagent-Gordon/sqlmodel-task-models. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for sqlmodel-task-models?

Key use cases include: Todo 애플리케이션을 위한 강력한 데이터베이스 스키마를 정의합니다, Better Auth와의 호환성을 보장합니다, PostgreSQL의 데이터베이스 성능을 최적화합니다.

Which IDEs are compatible with sqlmodel-task-models?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for sqlmodel-task-models?

SQLModel 및 PostgreSQL가 필요합니다. Python 호환성이 필요합니다.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add sarimofficial/HackathonlPhase-IV-AI-Powered-Kubernetes-Deployment-Minikube-Helm-kubectl-ai-Kagent-Gordon/sqlmodel-task-models. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use sqlmodel-task-models immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

sqlmodel-task-models

Install sqlmodel-task-models, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

SQLModel Task Models

This skill providing guidance on defining a robust database schema using SQLModel for the Todo application.

Purpose

Defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

Capabilities

  • User Model: Schema aligned with Better Auth requirements.
  • Task Model: Full CRUD capability with relational mapping to Users.
  • Relational Integrity: Proper foreign key constraints and back-references.
  • Performance: Strategic indexing on user_id and completed fields.
  • Safety: Automated timestamp management (created_at, updated_at).

Implementation Details

Models Definition

python
1from sqlmodel import SQLModel, Field, Relationship 2from typing import List, Optional 3from datetime import datetime 4 5class User(SQLModel, table=True): 6 id: str = Field(primary_key=True) 7 email: str = Field(unique=True, index=True) 8 name: Optional[str] = None 9 created_at: datetime = Field(default_factory=datetime.utcnow) 10 tasks: List["Task"] = Relationship(back_populates="user") 11 12class Task(SQLModel, table=True): 13 id: Optional[int] = Field(default=None, primary_key=True) 14 user_id: str = Field(foreign_key="user.id", index=True) 15 title: str 16 description: Optional[str] = None 17 completed: bool = Field(default=False, index=True) 18 created_at: datetime = Field(default_factory=datetime.utcnow) 19 updated_at: datetime = Field(default_factory=datetime.utcnow) 20 user: Optional[User] = Relationship(back_populates="tasks")

Best Practices

  • Using table=True for models that map to database tables.
  • Explicitly defining indexes for fields used in WHERE clauses (e.g., user_id, completed).
  • Using datetime.utcnow for consistent cross-region timestamping.
  • Keeping user_id as a string to match Better Auth's UUID/ID format.

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