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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncloudflare-d1Execute the skills CLI command in your project's root directory to begin installation:
Fetches cloudflare-d1 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 cloudflare-d1. Access via /cloudflare-d1 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.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Status: Production Ready ✅ Last Updated: 2026-01-20 Dependencies: cloudflare-worker-base (for Worker setup) Latest Versions: [email protected], @cloudflare/[email protected]
Recent Updates (2025):
# Create a new D1 database
npx wrangler d1 create my-database
# Output includes database_id - save this!
# ✅ Successfully created DB 'my-database'
#
# [[d1_databases]]
# binding = "DB"
# database_name = "my-database"
# database_id = "<UUID>"
Add to your wrangler.jsonc:
{
"name": "my-worker",
"main": "src/index.ts",
"compatibility_date": "2025-10-11",
"d1_databases": [
{
"binding": "DB", // Available as env.DB in your Worker
"database_name": "my-database", // Name from wrangler d1 create
"database_id": "<UUID>", // ID from wrangler d1 create
"preview_database_id": "local-db" // For local development
}
]
}
CRITICAL:
binding is how you access the database in code (env.DB)database_id is the production database UUIDpreview_database_id is for local dev (can be any string)database_id values to public repos - use environment variables or secrets# Create migration file
npx wrangler d1 migrations create my-database create_users_table
# This creates: migrations/0001_create_users_table.sql
Edit the migration file:
-- migrations/0001_create_users_table.sql
DROP TABLE IF EXISTS users;
CREATE TABLE IF NOT EXISTS users (
user_id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT NOT NULL UNIQUE,
username TEXT NOT NULL,
created_at INTEGER NOT NULL,
updated_at INTEGER
);
-- Create index for common queries
CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);
-- Optimize database
PRAGMA optimize;
# Apply locally first (for testing)
npx wrangler d1 migrations apply my-database --local
# Apply to production when ready
npx wrangler d1 migrations apply my-database --remote
// src/index.ts
import { Hono } from 'hono';
type Bindings = {
DB: D1Database;
};
const app = new Hono<{ Bindings: Bindings }>();
app.get('/api/users/:email', async (c) => {
const email = c.req.param('email');
try {
// ALWAYS use prepared statements with bind()
const result = await c.env.DB.prepare(
'SELECT * FROM users WHERE email = ?'
)
.bind(email)
.first();
if (!result) {
return c.json({ error: 'User not found' }, 404);
}
return c.json(result);
} catch (error: any) {
console.error('D1 Error:', error.message);
return c.json({ error: 'Database error' }, 500);
}
});
export default app;
# 1. Create migration
npx wrangler d1 migrations create <DATABASE_NAME> <MIGRATION_NAME>
# 2. List unapplied migrations
npx wrangler d1 migrations list <DATABASE_NAME> --local
npx wrangler d1 migrations list <DATABASE_NAME> --remote
# 3. Apply migrations
npx wrangler d1 migrations apply <DATABASE_NAME> --local # Test locally
npx wrangler d1 migrations apply <DATABASE_NAME> --remote # Deploy to production
Migrations are automatically versioned:
migrations/
├── 0000_initial_schema.sql
├── 0001_add_users_table.sql
├── 0002_add_posts_table.sql
└── 0003_add_indexes.sql
Rules:
d1_migrations table){
"d1_databases": [
{
"binding": "DB",
"database_name": "my-database",
"database_id": "<UUID>",
"migrations_dir": "db/migrations", // Custom directory (default: migrations/)
"migrations_table": "schema_migrations" // Custom tracking table (default: d1_migrations)
}
]
}
-- Use IF NOT EXISTS to make migrations idempotent
CREATE TABLE IF NOT EXISTS users (...);
CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);
-- Run PRAGMA optimize after schema changes
PRAGMA optimize;
-- Use UPPERCASE BEGIN/END in triggers (lowercase fails remotely)
CREATE TRIGGER update_timestamp
AFTER UPDATE ON users
FOR EACH ROW
BEGIN
UPDATE users SET updated_at = unixepoch() WHERE user_id = NEW.user_id;
END;
-- Use transactions for data migrations
BEGIN TRANSACTION;
UPDATE users SET updated_at = unixepoch() WHERE updated_at IS NULL;
COMMIT;
-- DON'T include BEGIN TRANSACTION at start of migration file (D1 handles this)
BEGIN TRANSACTION; -- ❌ Remove this
-- DON'T use lowercase begin/end in triggers (works locally, FAILS remotely)
CREATE TRIGGER my_trigger
AFTER INSERT ON table
begin -- ❌ Use BEGIN (uppercase)
UPDATE ...;
end; -- ❌ Use END (uppercase)
-- DON'T use MySQL/PostgreSQL syntax
ALTER TABLE users MODIFY COLUMN email VARCHAR(255); -- ❌ Not SQLite
-- DON'T create tables without IF NOT EXISTS
CREATE TABLE users (...); -- ❌ Fails if table exists
-- Temporarily disable foreign key checks during schema changes
PRAGMA defer_foreign_keys = true;
-- Make schema changes that would violate foreign keys
ALTER TABLE posts DROP COLUMN author_id;
ALTER TPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
jezweb/claude-skills
jezweb/claude-skills
jezweb/claude-skills
jezweb/claude-skills
jezweb/claude-skills
jezweb/claude-skills
Keeps context tight: cloudflare-d1 is the kind of skill you can hand to a new teammate without a long onboarding doc.
cloudflare-d1 reduced setup friction for our internal harness; good balance of opinion and flexibility.
cloudflare-d1 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added cloudflare-d1 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
cloudflare-d1 has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: cloudflare-d1 is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added cloudflare-d1 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend cloudflare-d1 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
cloudflare-d1 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in cloudflare-d1 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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