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Alembic

Organization
TerminalSkills
alembic

Manage database migrations with Alembic. Use when a user asks to version database schemas, create migration scripts, handle schema changes in production, or manage SQLAlchemy model migrations.

Overview

PublisherTerminalSkills
Repositoryskills
Skill namealembic
Stars
155
Forks
21
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TerminalSkills on GitHub. Read the source before you install it.

Installation

Install the Alembic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TerminalSkills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alembic .claude/skills/alembic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alembic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alembic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alembic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Alembic

Overview

Alembic is the migration tool for SQLAlchemy. It tracks database schema changes as versioned Python scripts — like Git for your database. Supports autogeneration from model changes, branching, and data migrations.

Instructions

Step 1: Setup

bash
pip install alembic
alembic init alembic
python
# alembic/env.py — Configure with async SQLAlchemy
from alembic import context
from sqlalchemy.ext.asyncio import create_async_engine
from models import Base
import asyncio

config = context.config
target_metadata = Base.metadata

def run_migrations_online():
    connectable = create_async_engine(config.get_main_option("sqlalchemy.url"))

    async def do_run():
        async with connectable.connect() as connection:
            await connection.run_sync(do_migrations)

    def do_migrations(connection):
        context.configure(connection=connection, target_metadata=target_metadata)
        with context.begin_transaction():
            context.run_migrations()

    asyncio.run(do_run())

run_migrations_online()

Step 2: Create Migrations

bash
# Auto-generate from model changes
alembic revision --autogenerate -m "add projects table"

# Create empty migration (for data migrations)
alembic revision -m "backfill user roles"
python
# alembic/versions/001_add_projects.py — Generated migration
def upgrade():
    op.create_table('projects',
        sa.Column('id', sa.String(36), primary_key=True),
        sa.Column('name', sa.String(100), nullable=False),
        sa.Column('owner_id', sa.String(36), sa.ForeignKey('users.id')),
        sa.Column('created_at', sa.DateTime, server_default=sa.func.now()),
    )
    op.create_index('ix_projects_owner_id', 'projects', ['owner_id'])

def downgrade():
    op.drop_index('ix_projects_owner_id')
    op.drop_table('projects')

Step 3: Data Migrations

python
# alembic/versions/002_backfill_roles.py — Data migration
from alembic import op
import sqlalchemy as sa

def upgrade():
    # Add column
    op.add_column('users', sa.Column('role', sa.String(20), server_default='member'))

    # Backfill existing rows
    conn = op.get_bind()
    conn.execute(sa.text("UPDATE users SET role = 'admin' WHERE email LIKE '%@mycompany.com'"))

def downgrade():
    op.drop_column('users', 'role')

Step 4: Commands

bash
alembic upgrade head          # apply all pending migrations
alembic downgrade -1          # rollback one migration
alembic history               # show migration history
alembic current               # show current revision
alembic upgrade +1            # apply next migration only

Guidelines

  • Always review autogenerated migrations — they may miss renames (detected as drop+create).
  • Run migrations in CI before deploying — catch schema issues early.
  • Data migrations should be idempotent — safe to run multiple times.
  • Use op.batch_alter_table() for SQLite (which doesn't support ALTER TABLE well).
  • Never edit applied migrations — create new ones instead.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Alembic AI skill do?

Manage database migrations with Alembic. Use when a user asks to version database schemas, create migration scripts, handle schema changes in production, or manage SQLAlchemy model migrations.

Why use Alembic on TypingMind?

Because you install it once and use it with any model. Alembic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alembic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TerminalSkills/skills/tree/main/skills/alembic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Alembic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alembic?

As many as you like. As long as a model supports skills, you can use Alembic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alembic AI skill free?

Yes. It is published on GitHub by TerminalSkills under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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