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Rails Migrations

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marckohlbrugge
rails-migrations

Write and review Rails database migrations safely, including reversible changes, lock-aware operations, and rollout sequencing. Use when adding or changing schema, indexes, constraints, or backfills.

Overview

Publishermarckohlbrugge
Repository37signals-skills
Skill namerails-migrations
Stars
724
Forks
56
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Rails Migrations 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.
    https://github.com/marckohlbrugge/37signals-skills/tree/main/skills/rails-migrations
  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/marckohlbrugge/37signals-skills.git /tmp/37signals-skills
mkdir -p .claude/skills
cp -r /tmp/37signals-skills/skills/rails-migrations .claude/skills/rails-migrations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rails Migrations 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 Rails Migrations 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 Rails Migrations 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.

Rails Migrations

Use for schema changes and migration safety.

Rules

  • Make migrations reversible whenever possible (reversible blocks with explicit up/down SQL for data moves).
  • Use raw SQL for data manipulation inside migrations; avoid referencing app models that drift over time.
  • Avoid long table locks on large tables; split risky work into multiple deploy-safe steps.
  • Separate schema changes from heavy data backfills.
  • Prefer database operations that remain safe when rerun (table_exists? / column_exists? guards where migrations may run against varied states).
  • Small inline backfills are fine in one migration (add column → execute "UPDATE ..." → tighten constraint); anything long-running moves out of the migration path entirely.

Script Backfills (not everything is db:migrate)

Long-running or risky data backfills live in script/migrations/*.rb, run manually (e.g. via Kamal), not in the deploy migration window:

  • Document preconditions and run instructions in the header comment.
  • Preflight queries print scope before mutating.
  • Idempotent: skip rows already processed (next if Entry.exists?(...)) so reruns are safe.
  • Batched (find_each / in_batches), never one giant write.

Safe Patterns

  • Add nullable column -> backfill -> enforce NOT NULL.
  • Add index concurrently when supported/needed.
  • Dedupe data (raw SQL delete of older duplicates) in the same migration immediately before adding a unique index.
  • Data-only migrations are legitimate: find_each + update! up, update_all down.
  • Batched backfills instead of one giant write.

Constraints: a deliberate choice, not a default

  • Prefer DB-level uniqueness indexes over AR validates uniqueness (the validation races; the index doesn't).
  • Foreign keys are a tradeoff: Fizzy deliberately removed all FKs (foreign_key: false on references) for DDL speed and shard-friendliness, keeping integrity in Rails. Either posture is fine — but make it consistent and documented, not accidental.
  • Enforce odd invariants with cheap schema tricks where CHECK constraints are awkward: e.g. singleton tables via a singleton_guard column defaulting to 0 with a unique index.
  • Atomic per-tenant counters: account.increment!(:cards_count) for sequence numbers + unique [account_id, number] index; a locked sequence row (first_or_create! under lock, increment!) for global ID sequences.

Multi-Tenant Index Strategy

  • When tenanting an app, replace global indexes with [account_id, ...] composites in a dedicated migration phase; drop now-redundant single-column indexes and comment why.
  • Scoped uniqueness lives at the DB level: add_index :tags, [:account_id, :title], unique: true.

Multi-Database / Multi-Adapter Apps

  • Solid Queue/Cache/Cable each get their own database with separate migrations_paths and schema files.
  • Supporting SQLite + MySQL from one codebase: early-return adapter guards in migrations (return if connection.adapter_name == "SQLite"), adapter-specific DDL (FTS5 vs sharded fulltext), and dual schema dumps (schema.rb / schema_sqlite.rb via per-config schema_dump).
  • SQLite in production: set default_transaction_mode: immediate to reduce SQLITE_BUSY under concurrent writers.
  • Disable dump_schema_after_migration in production.

Staged Rollout Playbooks

  • Column replacement

    • Deploy 1: add new nullable column.
    • Deploy 2: dual-write / backfill.
    • Deploy 3: read from new column.
    • Deploy 4: enforce constraints, then drop old column later.
  • Constraint hardening

    • Add data cleanup/backfill first.
    • Add index/constraint only after data is compliant.
    • Flip application behavior to rely on constraint once live.
  • Destructive changes

    • First deprecate reads/writes in app code.
    • Remove usage in a separate deploy.
    • Drop columns/tables only after confirmation window.

Red Flags

  • Irreversible migrations without explicit reason.
  • Combining schema rewrite + heavy data migration in one step.
  • Large backfills inside transaction-heavy default migrations (move to script/migrations/).
  • Dropping columns/tables without staged deprecation.
  • Referencing app models in migrations (model behavior drifts; use SQL or inline minimal AR classes).
  • Adding a unique index without first deduping existing data.
  • validates uniqueness with no backing unique index.

Frequently asked questions

What does the Rails Migrations AI skill do?

Write and review Rails database migrations safely, including reversible changes, lock-aware operations, and rollout sequencing. Use when adding or changing schema, indexes, constraints, or backfills.

Why use Rails Migrations on TypingMind?

Because you install it once and use it with any model. Rails Migrations 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 Rails Migrations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/marckohlbrugge/37signals-skills/tree/main/skills/rails-migrations. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rails Migrations?

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 Rails Migrations?

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

Is the Rails Migrations AI skill free?

It is published on GitHub by marckohlbrugge. Check the repository for licensing terms. 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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