databases
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin).
Skill by wollfoo
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, backend, writing
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What's inside
- Skill name
databases- Description
- Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases. | Sử dụng khi làm việc với cơ sở dữ liệu, database, SQL, query, truy vấn, schema, migration.
- License
- MIT
- Instructions
- 228 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (18)
- SKILL.md
- mongodb-aggregation.md · references/
- mongodb-atlas.md · references/
- mongodb-crud.md · references/
- mongodb-indexing.md · references/
- postgresql-administration.md · references/
- postgresql-performance.md · references/
- postgresql-psql-cli.md · references/
- postgresql-queries.md · references/
- db_backup.py · scripts/
- db_migrate.py · scripts/
- db_performance_check.py · scripts/
- requirements.txt · scripts/
- coverage-db.json · scripts/tests/
- requirements.txt · scripts/tests/
- test_db_backup.py · scripts/tests/
- test_db_migrate.py · scripts/tests/
- test_db_performance_check.py · scripts/tests/
SKILL.md (first lines)
# Databases Skill
Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems.
## When to Use This Skill
Use when:
- Designing database schemas and data models
- Writing queries (SQL or MongoDB query language)
- Building aggregation pipelines or complex joins
- Optimizing indexes and query performance
- Implementing database migrations
- Setting up replication, sharding, or clustering
- Configuring backups and disaster recovery
- Managing database users and permissions
- Analyzing slow queries and performance issues
- Administering production database deployments
## Database Selection Guide
### Choose MongoDB When:
- Schema flexibility: frequent structure changes, heterogeneous data
- Document-centric: natural JSON/BSON data model
- Horizontal scaling: need to shard across multiple servers
- High write throughput: IoT, logging, real-time analytics
- Nested/hierarchical data: embedded documents preferred
- Rapid prototyping: schema evolution without migrations
**Best for:** Content management, catalogs, IoT time series, real-time analytics, mobile apps, user profiles
### Choose PostgreSQL When:
- Strong consistency: ACID transactions critical
- Complex relationships: many-to-many joins, referential integrity
- SQL requirement: team expertise, reporting tools, BI systems
- Data integrity: strict schema validation, constraints
- Mature ecosystem: extensive tooling, extensions
- Complex queries: window functions, CTEs, analytical workloads
**Best for:** Financial systems, e-commerce transactions, ERP, CRM, data warehousing, analytics
### Both Support:
- JSON/JSONB storage and querying
- Full-text search capabilities
- Geospatial queries and indexing
- Replication and high availability
- ACID transactions (MongoDB 4.0+)
- Strong security features
## Quick Start
### MongoDB Setup
```bash
# Atlas (Cloud) - Recommended
# 1. Sign up at mongodb.com/atlas
# 2. Create M0 free cluster
# 3. Get connection string
# Connection
mongodb+srv://user:pass@cluster.mongodb.net/db
# Shell
mongosh "mongodb+srv://cluster.mongodb.net/mydb"
# Basic operations
db.users.insertOne({ name: "Alice", age: 30 })
db.users.find({ age: { $gte: 18 } })
db.users.updateOne({ name: "Alice" }, { $set: { age: 31 } })
db.users.deleteOne({ name: "Alice" })
```
### PostgreSQL Setup
```bash
# Ubuntu/Debian
sudo apt-get install postgresql postgresql-contrib
# Start service
sudo systemctl start postgresql
# Connect
psql -U postgres -d mydb
# Basic operations
CREATE TABLE users (id SERIAL PRIMARY KEY, name TEXT, age INT);
INSERT INTO users (name, age) VALUES ('Alice', 30);
SELECT * FROM users WHERE age >= 18;
UPDATE users SET age = 31 WHERE name = 'Alice';
DELETE FROM users WHERE name = 'Alice';
```
## Common Operations
### Create/Insert
```javascript
// MongoDB
db.users.insertOne({ name: "Bob", email: "bob@example.com" })
db.users.insertMany([{ name: "Alice" }, { name: "Charlie" }])
```
```sql
-- PostgreSQL
INSERT INTO users (name, email) VALUES ('Bob', 'bob@example.com');
INSERT INTO users (name, email) VALUES ('Alice', NULL), ('Charlie', NULL);
```
### Read/Query
```javascript
// MongoDB
db.users.find({ age: { $gte: 18 } })
db.users.findOne({ email: "bob@example.com" })
```
```sql
-- PostgreSQL
SELECT * FROM users WHERE age >= 18;
SELECT * FROM users WHERE email = 'bob@example.com' LIMIT 1;
```From wollfoo/setup-opencode, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jan 30, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/wollfoo/setup-opencode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
databases skill. Agent Mart. https://agentmart.dev/skills/wollfoo-databases-14646b (last updated 2026-10-24)