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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/miles990/claude-software-skills --skill database명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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SKILL.md 표시 중
| name | database |
| description | Database design, SQL, NoSQL, and data management patterns |
| domain | development-stacks |
| version | 1.1.0 |
| tags | ["postgresql","mysql","mongodb","redis","prisma","migrations","indexing"] |
| triggers | {"keywords":{"primary":["database","sql","postgresql","mysql","mongodb","redis","db"],"secondary":["query","schema","migration","index","orm","prisma","nosql"]},"context_boost":["data","storage","persistence","backend"],"context_penalty":["frontend","css","ui"],"priority":"high"} |
| collaboration | {"prerequisites":[{"skill":"backend","reason":"Database is typically used within backend context"}],"delegation_triggers":[{"trigger":"API for data access patterns","delegate_to":"backend","context":"Repository pattern, service layer design"},{"trigger":"Data validation at API level","delegate_to":"api-design","context":"Request validation, error responses"},{"trigger":"Database integration tests","delegate_to":"testing-strategies","context":"Test data setup, cleanup strategies"}],"receives_context_from":[{"skill":"backend","receives":["Expected query patterns","Transaction requirements","Caching strategy"]},{"skill":"api-design","receives":["Pagination requirements","Filtering capabilities"]}],"provides_context_to":[{"skill":"backend","provides":["Connection pool configuration","Query optimization hints","Index usage recommendations"]},{"skill":"testing-strategies","provides":["Test database setup scripts","Seed data patterns"]}]} |
Database design, query optimization, and data management patterns for relational and NoSQL databases.
-- Users table with proper constraints
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email VARCHAR(255) NOT NULL UNIQUE,
password_hash VARCHAR(255) NOT NULL,
name VARCHAR(100),
role VARCHAR(20) DEFAULT 'user' CHECK (role IN ('user', 'admin', 'moderator')),
status VARCHAR(20) DEFAULT 'active' CHECK (status IN ('active', 'suspended', 'deleted')),
metadata JSONB DEFAULT '{}',
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
);
-- Posts with foreign key
CREATE TABLE posts (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
title VARCHAR(255) NOT NULL,
slug VARCHAR(255) NOT NULL UNIQUE,
content TEXT,
excerpt (),
status () (status (, , )),
author_id UUID users(id) CASCADE,
published_at TIMESTAMPTZ,
created_at TIMESTAMPTZ NOW(),
updated_at TIMESTAMPTZ NOW()
);
tags (
id UUID gen_random_uuid(),
name () ,
slug ()
);
post_tags (
post_id UUID posts(id) CASCADE,
tag_id UUID tags(id) CASCADE,
(post_id, tag_id)
);
INDEX idx_posts_author posts(author_id);
INDEX idx_posts_status posts(status) status ;
INDEX idx_posts_published_at posts(published_at ) status ;
INDEX idx_users_email_lower users((email));
posts search_vector tsvector;
INDEX idx_posts_search posts GIN(search_vector);
REPLACE update_search_vector()
$$
NEW.search_vector :
setweight(to_tsvector(, (NEW.title, )), )
setweight(to_tsvector(, (NEW.excerpt, )), )
setweight(to_tsvector(, (NEW.content, )), );
;
;
$$ plpgsql;
posts_search_update
BEFORE posts
update_search_vector();
-- Common Table Expressions (CTE)
WITH post_stats AS (
SELECT
author_id,
COUNT(*) as post_count,
AVG(LENGTH(content)) as avg_length
FROM posts
WHERE status = 'published'
GROUP BY author_id
)
SELECT
u.name,
u.email,
ps.post_count,
ps.avg_length
FROM users u
JOIN post_stats ps ON u.id = ps.author_id
ORDER BY ps.post_count DESC
LIMIT 10;
-- Window functions
SELECT
p.title,
p.published_at,
u.name as author,
ROW_NUMBER() OVER (PARTITION BY p.author_id ORDER BY p.published_at DESC) as author_rank,
COUNT(*) OVER (PARTITION BY p.author_id) as author_total_posts,
p.published_at - LAG(p.published_at) OVER (PARTITION BY p.author_id ORDER BY p.published_at) as days_since_last
FROM posts p
JOIN users u ON p.author_id = u.id
WHERE p.status = 'published';
-- Recursive CTE (hierarchical data)
WITH RECURSIVE category_tree AS (
-- Base case
SELECT id, name, parent_id, 0 as depth, ARRAY[name] as path
FROM categories
WHERE parent_id IS NULL
UNION ALL
-- Recursive case
SELECT c.id, c.name, c.parent_id, ct.depth + 1, ct.path || c.name
FROM categories c
JOIN category_tree ct ON c.parent_id = ct.id
)
SELECT * FROM category_tree ORDER BY path;
-- JSONB queries
SELECT
id,
metadata->>'theme' as theme,
metadata->'preferences'->>'notifications' as notifications
FROM users
WHERE metadata @> '{"verified": true}'
AND metadata->'preferences' ? 'dark_mode';
-- Update JSONB
UPDATE users
SET metadata = jsonb_set(
metadata,
'{lastLogin}',
to_jsonb(NOW())
)
WHERE id = $1;
-- Analyze query plan
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT p.*, u.name as author_name
FROM posts p
JOIN users u ON p.author_id = u.id
WHERE p.status = 'published'
ORDER BY p.published_at DESC
LIMIT 20;
-- Partial index for common queries
CREATE INDEX idx_active_users ON users(email) WHERE status = 'active';
-- Covering index (index-only scan)
CREATE INDEX idx_posts_list ON posts(status, published_at DESC)
INCLUDE (title, slug, excerpt, author_id);
-- BRIN index for time-series data
CREATE INDEX idx_events_created ON events USING BRIN(created_at);
-- Table partitioning
CREATE TABLE events (
id UUID DEFAULT gen_random_uuid(),
event_type VARCHAR(50),
payload JSONB,
created_at TIMESTAMPTZ DEFAULT NOW()
) PARTITION BY RANGE (created_at);
CREATE TABLE events_2024_q1 PARTITION OF events
FOR VALUES FROM ('2024-01-01') TO ('2024-04-01');
CREATE TABLE events_2024_q2 PARTITION OF events
FOR VALUES FROM ('2024-04-01') TO ('2024-07-01');
// User document with embedded data
const userSchema = {
_id: ObjectId,
email: String,
passwordHash: String,
profile: {
name: String,
avatar: String,
bio: String,
},
preferences: {
theme: String,
notifications: {
email: Boolean,
push: Boolean,
},
},
roles: [String],
createdAt: Date,
updatedAt: Date,
};
// Post with references
const postSchema = {
_id: ObjectId,
title: String,
slug: String,
content: String,
authorId: ObjectId, // Reference to users
tags: [String], // Denormalized for read performance
stats: {
views: Number,
likes: Number,
comments: Number,
},
status: String,
publishedAt: Date,
createdAt: Date,
};
// Indexes
db.users.createIndex({ email: 1 }, { unique: true });
db.posts.createIndex({ authorId: 1, publishedAt: -1 });
db.posts.createIndex({ tags: 1 });
db.posts.createIndex({ title: "text", content: "text" });
// Complex aggregation
db.posts.aggregate([
// Match published posts
{ $match: { status: "published" } },
// Lookup author
{
$lookup: {
from: "users",
localField: "authorId",
foreignField: "_id",
as: "author",
},
},
{ $unwind: "$author" },
// Group by author
{
$group: {
_id: "$author._id",
authorName: { $first: "$author.profile.name" },
postCount: { $sum: 1 },
totalViews: { $sum: "$stats.views" },
avgLikes: { $avg: "$stats.likes" },
posts: {
$push: {
title: "$title",
publishedAt: "$publishedAt",
},
},
},
},
// Sort by post count
{ $sort: { postCount: -1 } },
// Limit to top 10
{ $limit: 10 },
// Project final shape
{
$project: {
_id: 0,
authorId: "$_id",
authorName: 1,
postCount: 1,
totalViews: 1,
avgLikes: { $round: ["$avgLikes", 2] },
recentPosts: { $slice: ["$posts", 5] },
},
},
]);
// Faceted search
db.products.aggregate([
{ $match: { $text: { $search: "laptop" } } },
{
$facet: {
results: [
{ $sort: { score: { $meta: "textScore" } } },
{ $skip: 0 },
{ $limit: 20 },
],
priceRanges: [
{
$bucket: {
groupBy: "$price",
boundaries: [0, 500, 1000, 2000, Infinity],
default: "Other",
output: { count: { $sum: 1 } },
},
},
],
brands: [{ $group: { _id: "$brand", count: { $sum: 1 } } }],
totalCount: [{ $count: "count" }],
},
},
]);
import Redis from 'ioredis';
const redis = new Redis(process.env.REDIS_URL);
// String operations
await redis.set('user:123:name', 'John');
await redis.setex('session:abc', 3600, JSON.stringify(sessionData)); // with TTL
const name = await redis.get('user:123:name');
// Hash operations
await redis.hset('user:123', {
name: 'John',
email: 'john@example.com',
role: 'admin',
});
const user = await redis.hgetall('user:123');
await redis.hincrby('user:123', 'loginCount', 1);
// List operations (queues)
await redis.lpush('queue:emails', JSON.stringify(emailJob));
const job = await redis.brpop('queue:emails', 0); // Blocking pop
// Set operations
await redis.sadd('user:123:followers', 'user:456', 'user:789');
await redis.sadd('user:456:followers', 'user:123', 'user:789');
const mutualFollowers = await redis.sinter(
'user:123:followers',
'user:456:followers'
);
// Sorted set (leaderboard)
await redis.zadd('leaderboard', 100, 'player1', 95, 'player2', 110, 'player3');
const topPlayers = await redis.zrevrange('leaderboard', 0, 9, 'WITHSCORES');
const rank = await redis.zrevrank('leaderboard', 'player1');
// HyperLogLog (unique counts)
await redis.pfadd('pageviews:2024-01-15', 'user:123', 'user:456');
const uniqueViews = await redis.pfcount('pageviews:2024-01-15');
// Cache-aside pattern
async function getCachedUser(userId: string): Promise<User> {
const cacheKey = `user:${userId}`;
// Try cache first
const cached = await redis.get(cacheKey);
if (cached) {
return JSON.parse(cached);
}
// Cache miss - fetch from DB
const user = await db.user.findUnique({ where: { id: userId } });
if (user) {
// Store in cache with TTL
await redis.setex(cacheKey, 3600, JSON.stringify(user));
}
return user;
}
// Cache invalidation
async function updateUser(userId: string, data: UpdateUserInput) {
const user = await db.user.update({
where: { id: userId },
data,
});
// Invalidate cache
await redis.del(`user:${userId}`);
return user;
}
// Rate limiting
async function checkRateLimit(userId: string, limit: number, window: number) {
const key = `ratelimit:${userId}`;
const current = await redis.incr(key);
if (current === 1) {
await redis.expire(key, window);
}
return current <= limit;
}
// prisma/schema.prisma
generator client {
provider = "prisma-client-js"
}
datasource db {
provider = "postgresql"
url = env("DATABASE_URL")
}
model User {
id String @id @default(cuid())
email String @unique
password String
name String?
role Role @default(USER)
posts Post[]
comments Comment[]
profile Profile?
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
@@index([email])
}
model Profile {
id String @id @default(cuid())
bio String?
avatar String?
user User @relation(fields: [userId], references: [id], onDelete: Cascade)
userId String @unique
}
model Post {
id String @id @default(cuid())
title String
slug String @unique
content String?
published Boolean @default(false)
publishedAt DateTime?
author User @relation(fields: [authorId], references: [id])
authorId String
tags Tag[]
comments Comment[]
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
@@index([authorId, published])
@@index([publishedAt(sort: Desc)])
}
model Tag {
id String @id @default(cuid())
name String @unique
slug String @unique
posts Post[]
}
model Comment {
id String @id @default(cuid())
content String
author User @relation(fields: [authorId], references: [id])
authorId String
post Post @relation(fields: [postId], references: [id], onDelete: Cascade)
postId String
createdAt DateTime @default(now())
}
enum Role {
USER
ADMIN
MODERATOR
}
import { PrismaClient, Prisma } from '@prisma/client';
const prisma = new PrismaClient();
// Basic queries
const users = await prisma.user.findMany({
where: {
role: 'USER',
email: { contains: '@example.com' },
},
select: {
id: true,
email: true,
name: true,
_count: { select: { posts: true } },
},
orderBy: { createdAt: 'desc' },
take: 10,
skip: 0,
});
// Complex query with relations
const postsWithAuthor = await prisma.post.findMany({
where: {
published: true,
OR: [
{ title: { contains: searchTerm, mode: 'insensitive' } },
{ content: { contains: searchTerm, mode: 'insensitive' } },
],
},
include: {
author: {
select: { id: true, name: true, profile: true },
},
tags: true,
_count: { select: { comments: true } },
},
orderBy: { publishedAt: 'desc' },
});
// Transactions
const [post, notification] = await prisma.$transaction([
prisma.post.create({
data: {
title: 'New Post',
slug: 'new-post',
authorId: userId,
},
}),
prisma.notification.create({
data: {
type: 'NEW_POST',
userId: userId,
},
}),
]);
// Interactive transaction
const transfer = await prisma.$transaction(async (tx) => {
const from = await tx.account.update({
where: { id: fromAccountId },
data: { balance: { decrement: amount } },
});
if (from.balance < 0) {
throw new Error('Insufficient funds');
}
const to = await tx.account.update({
where: { id: toAccountId },
data: { balance: { increment: amount } },
});
return { from, to };
});
// Raw queries when needed
const result = await prisma.$queryRaw<Post[]>`
SELECT p.*, ts_rank(search_vector, to_tsquery(${searchQuery})) as rank
FROM posts p
WHERE search_vector @@ to_tsquery(${searchQuery})
ORDER BY rank DESC
LIMIT 20
`;
# Prisma migrations
npx prisma migrate dev --name add_user_status
npx prisma migrate deploy # Production
npx prisma db push # Prototype (no migration files)
# Generate client after schema changes
npx prisma generate
// Custom migration with data
// prisma/migrations/xxx_add_slug/migration.sql
-- Add slug column
ALTER TABLE posts ADD COLUMN slug VARCHAR(255);
-- Populate existing posts
UPDATE posts SET slug = LOWER(REPLACE(title, ' ', '-'));
-- Make non-nullable and unique
ALTER TABLE posts ALTER COLUMN slug SET NOT NULL;
ALTER TABLE posts ADD CONSTRAINT posts_slug_unique UNIQUE (slug);