تشغيل أي مهارة في Manus بنقرة واحدة

sqlmodel

النجوم٢

التفرعات٠

آخر تحديث٣١ مايو ٢٠٢٦ في ٢١:١٤

Python ORM package for working with SQL databases. Use when creating database models, performing CRUD operations, or building database-backed APIs.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

تشغيل في Manus

المصدر

saattrupdan

saattrupdan/dotfiles

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

تشغيل في Manus

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

مطوّرو البرمجياتمهن الحاسوب والرياضيات·SOC 15-1252

مستكشف الملفات

2 ملفات

SKILL.md

readonly

name	sqlmodel
description	Python ORM package for working with SQL databases. Use when creating database models, performing CRUD operations, or building database-backed APIs.
tagline	SQLModel ORM for Python database models
last-updated	"2026-05-09T00:00:00.000Z"
autoload	{"tools":["read","write","edit"],"paths":["/models//.py","/db//.py","/database//.py","/models.py","/db.py","*/database.py"]}

SQLModel

المزيد من هذا المستودع

نفس المستودع

saattrupdan/dotfiles

GitHub CLI (gh) — the official command-line interface to GitHub. Use when the user needs to create or manage pull requests, issues, repositories, GitHub Actions, gists, API calls, authentication, or any other GitHub workflow from the terminal. Also use for scripting GitHub automation, querying the GraphQL/REST API, managing forks/clones, and viewing workflow run logs. Prefer gh over web browsing or the raw REST API.

2026-07-052

gmail

saattrupdan/dotfiles

CLI for Gmail via Google's REST API — list, search, read, send, draft, label, delete. Use for all Gmail email operations.

2026-07-042

saattrupdan/dotfiles

Draft, post, and review Dan's LinkedIn posts (handle saattrupdan) via the `linkedin` CLI, which drives the real LinkedIn web UI with agent-browser. Use when the user wants to write/post a LinkedIn post, save or view a draft, or fetch their recent posts with engagement stats. Also use whenever drafting LinkedIn content, to match Dan's voice and formatting.

2026-07-012

xlsx

saattrupdan/dotfiles

Edit Microsoft Excel .xlsx files in place while preserving all formatting — surgical raw-OOXML cell editing that keeps styles, charts, data validations, formulas and named ranges intact. Use when filling in or revising .xlsx workbooks (bid sheets, budgets, forms, trackers) rather than regenerating them.

2026-06-302

docx

saattrupdan/dotfiles

Edit Microsoft Word .docx files in place while preserving all formatting — surgical raw-OOXML editing, Word comments, page breaks, character-limit fields. Use when filling in or revising .docx documents (grant applications, forms, reports) rather than regenerating them.

2026-06-252

agent-browser

saattrupdan/dotfiles

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

2026-06-122

sqlmodel

SQLModel

Create a Table with SQLModel - Use the Engine

Create Rows - Use the Session - INSERT

Automatic IDs, None Defaults, and Refreshing Data

Read Data - SELECT

Filter Data - WHERE

Indexes - Optimize Queries

Read One Row

Read a Range of Data - LIMIT and OFFSET

Update Data - UPDATE

Delete Data - DELETE

Connect Tables - JOIN - Intro

Create Connected Tables

Create and Connect Rows

Read Connected Data

Update Data Connections

Remove Data Connections

Relationship Attributes - Intro

Define Relationships Attributes

Create and Update Relationships

Read Relationships

Remove Relationships

Relationship back_populates

Cascade Delete Relationships

Type annotation strings

Many to Many - Intro

Create Models with a Many-to-Many Link

Create Data with Many-to-Many Relationships

Update and Remove Many-to-Many Relationships

Link Model with Extra Fields

Code Structure and Multiple Files

FastAPI and Pydantic - Intro

Simple Hero API with FastAPI

FastAPI Response Model with SQLModel

Multiple Models with FastAPI

Read One Model with FastAPI

Read Heroes with Limit and Offset with FastAPI

Update Data with FastAPI

Update with Extra Data (Hashed Passwords) with FastAPI

Delete Data with FastAPI

Session with FastAPI Dependency

FastAPI Path Operations for Teams - Other Models

Models with Relationships in FastAPI

Test Applications with FastAPI and SQLModel

المزيد من هذا المستودع

المزيد من هذا المستودع

SQLModel

Create a Table with SQLModel - Use the Engine

Create Rows - Use the Session - INSERT

Automatic IDs, None Defaults, and Refreshing Data

Read Data - SELECT

Filter Data - WHERE

Indexes - Optimize Queries

Read One Row

Read a Range of Data - LIMIT and OFFSET

Update Data - UPDATE

Delete Data - DELETE

Connect Tables - JOIN - Intro

Create Connected Tables

Create and Connect Rows

Read Connected Data

Update Data Connections

Remove Data Connections

Relationship Attributes - Intro

Define Relationships Attributes

Create and Update Relationships

Read Relationships

Remove Relationships

Relationship back_populates

Cascade Delete Relationships

Type annotation strings

Many to Many - Intro

Create Models with a Many-to-Many Link

Create Data with Many-to-Many Relationships

Update and Remove Many-to-Many Relationships

Link Model with Extra Fields

Code Structure and Multiple Files

FastAPI and Pydantic - Intro

Simple Hero API with FastAPI