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Sqlalchemy Orm Patterns

Checked
kentoshimizu·vlatest·database·Apache-2.0

Generate SQLAlchemy ORM code following common patterns like repositories, services, and data transfer objects.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add kentoshimizu/sw-agent-skills --skill sqlalchemy-orm-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

kentoshimizu

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

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  • Pinned to a commit: passed

    Scanned kentoshimizu/sw-agent-skills at 5b7bafb626.

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Commit
5b7bafb626
Manifest
skills/sqlalchemy-orm-patterns/SKILL.md
Scanned
4 files, 88 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill enables AI agents to interact with SQLAlchemy ORM patterns. It facilitates the generation of database queries and manipulations using Python code, allowing for efficient data retrieval and management within a structured environment. The agent can understand and execute requests related to common ORM operations like querying, filtering, and updating records.

When to use it

  • Automated Data Extraction: Generate SQL queries from natural language descriptions to extract specific information from a database.
  • Database Schema Modification: Create scripts for altering table structures or adding new columns based on user requests.
  • Data Migration Tasks: Automate the process of transferring data between different databases using SQLAlchemy ORM patterns.
  • Report Generation: Construct queries to retrieve and format data for generating reports.

Key capabilities

  • SQLAlchemy ORM interaction
  • Query generation from natural language
  • Database schema manipulation
  • Data migration scripting

Example prompts

  • "Generate a SQLAlchemy query to find all users older than 30."
  • "Create a script to add a new column 'email' to the 'users' table."
  • "Write code to migrate data from the 'legacy_db' database to the 'new_db' database using SQLAlchemy."

Tips & gotchas

  • Requires familiarity with SQLAlchemy ORM concepts and Python programming.
  • The agent’s understanding of complex SQL queries may be limited; break down requests into smaller, manageable steps for best results.