Guided workflow for Cloudflare D1 database migrations using Drizzle ORM.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiond1-migrationExecute the skills CLI command in your project's root directory to begin installation:
Fetches d1-migration from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate d1-migration. Access via /d1-migration in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guided workflow for Cloudflare D1 database migrations using Drizzle ORM.
pnpm db:generate
This creates a new .sql file in drizzle/ (or your configured migrations directory).
Always read the generated SQL before applying. Drizzle sometimes generates destructive migrations for simple schema changes.
If you see this pattern, the migration will likely fail:
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:
ALTER TABLE `my_table` ADD COLUMN `new_column` TEXT DEFAULT 'value';
Edit the .sql file directly before applying.
pnpm db:migrate:local
# or: npx wrangler d1 migrations apply DB_NAME --local
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.
# 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)"
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.
# 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"
# 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
CREATE TABLE IF NOT EXISTS — safe to re-runALTER TABLE ADD COLUMN — SQLite has no IF NOT EXISTS variant; check column existence first or use try/catch in application codeD1's parameter limit causes silent failures with large multi-row INSERTs. Batch into chunks:
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.
| Context | Convention | Example |
|---|---|---|
| Drizzle schema | camelCase | caseNumber: text('case_number') |
| Raw SQL queries | snake_case | UPDATE cases SET case_number = ? |
| API responses | Match SQL aliases | SELECT case_number FROM cases |
When creating a D1 database for a new project, follow this order:
npm run build && npx wrangler deploynpx wrangler d1 create project-name-dbwrangler.jsonc d1_databases bindingnpx wrangler deployMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
jezweb/claude-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Registry listing for d1-migration matched our evaluation — installs cleanly and behaves as described in the markdown.
d1-migration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in d1-migration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
d1-migration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for d1-migration matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: d1-migration is the kind of skill you can hand to a new teammate without a long onboarding doc.
d1-migration reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend d1-migration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added d1-migration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: d1-migration is focused, and the summary matches what you get after install.
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