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

v1.0.0

Acerca de este Skill

Perfecto para agentes de base de datos Python que necesitan un modelado de tareas robusto de SQLModel con optimización para PostgreSQL. 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

Perfecto para agentes de base de datos Python que necesitan un modelado de tareas robusto de SQLModel con optimización para PostgreSQL. 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.

¿Por qué usar esta habilidad?

Permite a los agentes definir esquemas de bases de datos seguros y compatibles con async utilizando SQLModel, garantizando la compatibilidad con Better Auth y optimizados para PostgreSQL, con capacidades que incluyen Modelo de usuario, Modelo de tarea y Integridad relacional.

Mejor para

Perfecto para agentes de base de datos Python que necesitan un modelado de tareas robusto de SQLModel con optimización para PostgreSQL.

Casos de uso accionables for sqlmodel-task-models

Definir esquemas de bases de datos robustos para aplicaciones Todo
Garantizar la compatibilidad con Better Auth
Optimizar el rendimiento de la base de datos para PostgreSQL

! Seguridad y limitaciones

  • Requiere SQLModel y PostgreSQL
  • Se requiere compatibilidad con Python

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.

Labs Demo

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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?

Perfecto para agentes de base de datos Python que necesitan un modelado de tareas robusto de SQLModel con optimización para PostgreSQL. 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: Definir esquemas de bases de datos robustos para aplicaciones Todo, Garantizar la compatibilidad con Better Auth, Optimizar el rendimiento de la base de datos para PostgreSQL.

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?

Requiere SQLModel y PostgreSQL. Se requiere compatibilidad con Python.

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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