Agent skill

Sqlalchemy Orm

by cohen-liel in cohen-liel/hivemind

SQLAlchemy 2.0 async ORM patterns. An agent skill from cohen-liel/hivemind.

Apache-2.0Auto-check passedDatabases

Install Sqlalchemy Orm

skills CLI
$ npx skills add cohen-liel/hivemind --skill sqlalchemy-orm -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cohen-liel/hivemind sqlalchemy-orm --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/sqlalchemy-orm .claude/skills/sqlalchemy-orm && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sqlalchemy-orm
GitHub stars
110
Token cost
~920 tokens
SKILL.md length
66 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

SQLAlchemy 2.0 async ORM patterns. An agent skill from cohen-liel/hivemind.

  • Defining models
  • SKILL.md covers Database Setup, Model Pattern, CRUD Patterns and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Migrations with SQLAlchemy in Python

What it does

Sqlalchemy Orm is an agent skill from cohen-liel/hivemind. SQLAlchemy 2.0 async ORM patterns. Use when defining models, relationships, queries, or migrations with SQLAlchemy in Python.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering ORMs and data access. It works with SQLAlchemy and Python. The repository describes itself as: One prompt. A full AI engineering team. Go lie on the couch. 🧠. The licence is Apache-2.0.

When your agent uses it

  • Defining models
  • Migrations with SQLAlchemy in Python

Example prompts

  • “/sqlalchemy-orm”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 918dd9b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sqlalchemy Orm loads about 920 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 66 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~920

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cohen-liel/hivemind at commit 918dd9b, republished under its Apache-2.0 licence (© cohen-liel). 66 words, ~920 tokens.

Download SKILL.mdSave it as .claude/skills/sqlalchemy-orm/SKILL.md (or your agent's skills folder).
name
sqlalchemy-orm
description
SQLAlchemy 2.0 async ORM patterns. Use when defining models, relationships, queries, or migrations with SQLAlchemy in Python.

SQLAlchemy 2.0 Async ORM Patterns

Database Setup

python
# database.py
from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
from sqlalchemy.orm import DeclarativeBase

engine = create_async_engine(
    settings.DATABASE_URL,  # postgresql+asyncpg://user:pass@host/db
    pool_size=10,
    max_overflow=20,
    pool_pre_ping=True,  # Verify connection before use
    echo=settings.DEBUG,
)

AsyncSessionLocal = async_sessionmaker(engine, expire_on_commit=False)

class Base(DeclarativeBase):
    pass

Model Pattern

python
from sqlalchemy import String, ForeignKey, func, text
from sqlalchemy.orm import Mapped, mapped_column, relationship

class TimestampMixin:
    created_at: Mapped[datetime] = mapped_column(
        server_default=func.now(), nullable=False
    )
    updated_at: Mapped[datetime] = mapped_column(
        server_default=func.now(), onupdate=func.now(), nullable=False
    )

class User(Base, TimestampMixin):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    email: Mapped[str] = mapped_column(String(255), unique=True, nullable=False, index=True)
    name: Mapped[str] = mapped_column(String(100), nullable=False)
    hashed_password: Mapped[str] = mapped_column(nullable=False)
    is_active: Mapped[bool] = mapped_column(default=True, server_default=text("true"))

    # Relationship
    posts: Mapped[list["Post"]] = relationship("Post", back_populates="author", lazy="select")

class Post(Base, TimestampMixin):
    __tablename__ = "posts"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False, index=True)
    title: Mapped[str] = mapped_column(String(255), nullable=False)
    body: Mapped[str] = mapped_column(nullable=False)

    author: Mapped["User"] = relationship("User", back_populates="posts")

CRUD Patterns

python
# SELECT with filter
async def get_user(db: AsyncSession, user_id: int) -> User | None:
    return await db.get(User, user_id)

async def get_user_by_email(db: AsyncSession, email: str) -> User | None:
    result = await db.execute(select(User).where(User.email == email))
    return result.scalar_one_or_none()

# SELECT with join (avoid N+1)
async def get_posts_with_authors(db: AsyncSession) -> list[Post]:
    result = await db.execute(
        select(Post).options(selectinload(Post.author)).order_by(Post.created_at.desc())
    )
    return list(result.scalars())

# INSERT
async def create_user(db: AsyncSession, data: UserCreate) -> User:
    user = User(**data.model_dump())
    db.add(user)
    await db.flush()  # Get ID without committing
    await db.refresh(user)
    return user

# UPDATE
async def update_user(db: AsyncSession, user_id: int, data: dict) -> User:
    await db.execute(update(User).where(User.id == user_id).values(**data))
    return await get_user(db, user_id)

# Bulk insert
async def bulk_create_posts(db: AsyncSession, posts: list[dict]):
    await db.execute(insert(Post), posts)

Rules

  • Use selectinload() or joinedload() for relationships — never lazy load in async
  • Use expire_on_commit=False in async sessions
  • flush() to get IDs mid-transaction, commit() only at end of request
  • Rollback on exception (handled by Depends(get_db))
  • Use mapped_column() not Column() (SQLAlchemy 2.0 style)
  • Add index=True on all ForeignKeys and frequently filtered columns
  • pool_pre_ping=True to handle connection drops

© cohen-liel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/sqlalchemy-orm of cohen-liel/hivemind.

Open the folder on GitHubat commit 918dd9b

Compare with similar skills

Sqlalchemy Orm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sqlalchemy Orm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sqlalchemy Orm this skillcohen-liel/hivemind110—~920Automated safety check: PassApache-2.0
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Supabase Pythonalinaqi/maggy707—~4kAutomated safety check: NotesMIT
Python Database Patternsaiskillstore/marketplace4301 repos~1.2kAutomated safety check: NotesNone
Fastcrudbenavlabs/fastcrud1.6k—~5kAutomated safety check: PassMIT
Mastering Python SkillSpillwaveSolutions/agent-brain120—~1.4kAutomated safety check: NotesMIT

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Categories

Questions about Sqlalchemy Orm

What does Sqlalchemy Orm do?

SQLAlchemy 2.0 async ORM patterns. An agent skill from cohen-liel/hivemind. Sqlalchemy Orm is an agent skill from cohen-liel/hivemind.0 async ORM patterns.

When should I use Sqlalchemy Orm?

Sqlalchemy Orm fits situations like: defining models; migrations with SQLAlchemy in Python.

How do I install Sqlalchemy Orm in Claude Code?

Run `npx skills add cohen-liel/hivemind --skill sqlalchemy-orm -a claude-code`. Or copy the skill folder (.claude/skills/sqlalchemy-orm in cohen-liel/hivemind) into .claude/skills/sqlalchemy-orm in your project. Claude Code loads it when a task matches its description.

How do I install Sqlalchemy Orm in Codex?

Run `npx skills add cohen-liel/hivemind --skill sqlalchemy-orm -a codex`. Or copy the skill folder (.claude/skills/sqlalchemy-orm in cohen-liel/hivemind) into .agents/skills/sqlalchemy-orm in your project. Codex loads it when a task matches its description.

Can I use Sqlalchemy Orm in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cohen-liel/hivemind --skill sqlalchemy-orm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sqlalchemy-orm, .gemini/skills/sqlalchemy-orm, .github/skills/sqlalchemy-orm and .opencode/skills/sqlalchemy-orm in your project.

What does Sqlalchemy Orm need to run?

SKILL.md names no scripts, command-line tools or credentials: Sqlalchemy Orm is instructions for the agent only. Our summary lists: Python 3.

Does Sqlalchemy Orm access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sqlalchemy Orm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sqlalchemy Orm use?

Sqlalchemy Orm is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sqlalchemy Orm use?

About 920 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sqlalchemy Orm?

Skills that share tags, products or a category with Sqlalchemy Orm: Using Relational Databases (ancoleman/ai-design-components, 526 stars), Supabase Python (alinaqi/maggy, 707 stars), Python Database Patterns (aiskillstore/marketplace, 430 stars) and Fastcrud (benavlabs/fastcrud, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sqlalchemy Orm?

cohen-liel (a GitHub user) maintains it in cohen-liel/hivemind, which has 110 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on April 18, 2026.

Source: cohen-liel/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.