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D1 Migration

CommunityPopular
jezweb
d1-migration

Cloudflare D1 migration workflow: generate with Drizzle, inspect SQL for gotchas, apply to local and remote, fix stuck migrations, handle partial failures. Use when running migrations, fixing migration errors, or setting up D1 schemas.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill named1-migration
Stars
1K
Forks
102
Bundled files
Instructions only
LicenseMIT
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 jezweb on GitHub. Read the source before you install it.

Installation

Install the D1 Migration 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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/cloudflare/skills/d1-migration .claude/skills/d1-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable D1 Migration 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 D1 Migration 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 D1 Migration 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.

D1 Migration Workflow

Guided workflow for Cloudflare D1 database migrations using Drizzle ORM.

Standard Migration Flow

1. Generate Migration

bash
pnpm db:generate

This creates a new .sql file in drizzle/ (or your configured migrations directory).

2. Inspect the SQL (CRITICAL)

Always read the generated SQL before applying. Drizzle sometimes generates destructive migrations for simple schema changes.

Red Flag: Table Recreation

If you see this pattern, the migration will likely fail:

sql
CREATE TABLE `my_table_new` (...);
INSERT INTO `my_table_new` SELECT ..., `new_column`, ... FROM `my_table`;
--                                      ^^^ This column doesn't exist in old table!
DROP TABLE `my_table`;
ALTER TABLE `my_table_new` RENAME TO `my_table`;

Cause: Changing a column's default value in Drizzle schema triggers full table recreation. The INSERT SELECT references the new column from the old table.

Fix: If you're only adding new columns (no type/constraint changes on existing columns), simplify to:

sql
ALTER TABLE `my_table` ADD COLUMN `new_column` TEXT DEFAULT 'value';

Edit the .sql file directly before applying.

3. Apply to Local

bash
pnpm db:migrate:local
# or: npx wrangler d1 migrations apply DB_NAME --local

4. Apply to Remote

bash
pnpm db:migrate:remote
# or: npx wrangler d1 migrations apply DB_NAME --remote

Always apply to BOTH local and remote before testing. Local-only migrations cause confusing "works locally, breaks in production" issues.

5. Verify

bash
# Check local
npx wrangler d1 execute DB_NAME --local --command "PRAGMA table_info(my_table)"

# Check remote
npx wrangler d1 execute DB_NAME --remote --command "PRAGMA table_info(my_table)"

Fixing Stuck Migrations

When a migration partially applied (e.g. column was added but migration wasn't recorded), wrangler retries it and fails on the duplicate column.

Symptoms: pnpm db:migrate errors on a migration that looks like it should be done. PRAGMA table_info shows the column exists.

Diagnosis

bash
# 1. Verify the column/table exists
npx wrangler d1 execute DB_NAME --remote \
  --command "PRAGMA table_info(my_table)"

# 2. Check what migrations are recorded
npx wrangler d1 execute DB_NAME --remote \
  --command "SELECT * FROM d1_migrations ORDER BY id"

Fix

bash
# 3. Manually record the stuck migration
npx wrangler d1 execute DB_NAME --remote \
  --command "INSERT INTO d1_migrations (name, applied_at) VALUES ('0013_my_migration.sql', datetime('now'))"

# 4. Run remaining migrations normally
pnpm db:migrate

Prevention

  • CREATE TABLE IF NOT EXISTS — safe to re-run
  • ALTER TABLE ADD COLUMN — SQLite has no IF NOT EXISTS variant; check column existence first or use try/catch in application code
  • Always inspect generated SQL before applying (Step 2 above)

Bulk Insert Batching

D1's parameter limit causes silent failures with large multi-row INSERTs. Batch into chunks:

typescript
const BATCH_SIZE = 10;
for (let i = 0; i < allRows.length; i += BATCH_SIZE) {
  const batch = allRows.slice(i, i + BATCH_SIZE);
  await db.insert(myTable).values(batch);
}

Why: D1 fails when rows x columns exceeds ~100-150 parameters.

Column Naming

ContextConventionExample
Drizzle schemacamelCasecaseNumber: text('case_number')
Raw SQL queriessnake_caseUPDATE cases SET case_number = ?
API responsesMatch SQL aliasesSELECT case_number FROM cases

New Project Setup

When creating a D1 database for a new project, follow this order:

  1. Deploy Worker firstnpm run build && npx wrangler deploy
  2. Create D1 databasenpx wrangler d1 create project-name-db
  3. Copy database_id to wrangler.jsonc d1_databases binding
  4. Redeploynpx wrangler deploy
  5. Run migrations — apply to both local and remote

Frequently asked questions

What does the D1 Migration AI skill do?

Cloudflare D1 migration workflow: generate with Drizzle, inspect SQL for gotchas, apply to local and remote, fix stuck migrations, handle partial failures. Use when running migrations, fixing migration errors, or setting up D1 schemas.

Why use D1 Migration on TypingMind?

Because you install it once and use it with any model. D1 Migration 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 D1 Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/cloudflare/skills/d1-migration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use D1 Migration?

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 D1 Migration?

As many as you like. As long as a model supports skills, you can use D1 Migration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the D1 Migration AI skill free?

Yes. It is published on GitHub by jezweb under the MIT 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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