Our review
Configures and operates TinyDB for JSON-based document storage, providing setup, CRUD operations, and query patterns.
Strengths
- Lightweight and simple setup with minimal configuration
- Supports complex queries including logical operators and test functions
- Includes caching middleware for performance
- Provides a complete CRUD interface for document management
Limitations
- Not suitable for large-scale or multi-user databases
- JSON files can become slow with many records
- No built-in support for relationships or indexing
When you need a simple, file-based NoSQL database for prototyping, small applications, or local data persistence.
When you require high concurrency, complex relational queries, or need to handle large datasets efficiently.
Security analysis
SafeThe skill provides a Python wrapper for TinyDB, a local document database. It performs no destructive actions, exfiltration, or execution of external commands beyond file I/O. Bash is allowed-tools but not invoked in the skill content.
No concerns found
Examples
Set up a TinyDB database for a todo application with caching middleware and a table for tasks.Write a query to find all tasks with a priority of 'high' that are not completed.Create a Python class that provides insert, get, update, and delete operations for a TinyDB document store.name: database-skill description: Configure and operate TinyDB for JSON-based document storage. Use when setting up databases, creating queries, or managing data persistence. allowed-tools: Write, Read, Bash
Database Skill
Purpose
Set up and manage TinyDB document database with proper configuration and query patterns.
Instructions
Database Setup
from tinydb import TinyDB, Query
from tinydb.storages import JSONStorage
from tinydb.middlewares import CachingMiddleware
from pathlib import Path
from typing import Optional, List
class TodoDatabase:
"""TinyDB wrapper for todo task storage."""
def __init__(self, db_path: str = "todo_data.json"):
"""Initialize database with caching."""
self.db_path = Path(db_path)
self.db = TinyDB(
self.db_path,
storage=CachingMiddleware(JSONStorage),
indent=2,
ensure_ascii=False
)
self.tasks = self.db.table('tasks')
self.query = Query()
def close(self):
"""Close database connection."""
self.db.close()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
ID Generation
def get_next_id(self) -> int:
"""Generate next unique ID."""
all_tasks = self.tasks.all()
if not all_tasks:
return 1
return max(task['id'] for task in all_tasks) + 1
CRUD Operations
def insert(self, task: dict) -> int:
"""Insert a new task."""
task['id'] = self.get_next_id()
doc_id = self.tasks.insert(task)
return task['id']
def get(self, task_id: int) -> Optional[dict]:
"""Get task by ID."""
return self.tasks.get(self.query.id == task_id)
def get_all(self) -> List[dict]:
"""Get all tasks."""
return self.tasks.all()
def update(self, task_id: int, updates: dict) -> bool:
"""Update task by ID."""
result = self.tasks.update(updates, self.query.id == task_id)
return len(result) > 0
def delete(self, task_id: int) -> bool:
"""Delete task by ID."""
result = self.tasks.remove(self.query.id == task_id)
return len(result) > 0
Query Patterns
# Simple equality
tasks = db.tasks.search(db.query.priority == 'high')
# Logical AND
tasks = db.tasks.search(
(db.query.priority == 'high') &
(db.query.status == 'pending')
)
# Logical OR
tasks = db.tasks.search(
(db.query.priority == 'high') |
(db.query.priority == 'urgent')
)
# NOT
tasks = db.tasks.search(~(db.query.status == 'completed'))
# Test function (for complex conditions)
tasks = db.tasks.search(
db.query.title.test(lambda t: 'keyword' in t.lower())
)
# Check if value in list
tasks = db.tasks.search(
db.query.tags.test(lambda tags: 'work' in tags)
)
# Exists check
tasks = db.tasks.search(db.query.due_date.exists())
# Comparison operators
tasks = db.tasks.search(db.query.priority != 'low')
Full Database Class
class TodoDatabase:
def __init__(self, db_path: str = "todo_data.json"):
self.db = TinyDB(
db_path,
storage=CachingMiddleware(JSONStorage),
indent=2
)
self.tasks = self.db.table('tasks')
self.query = Query()
def get_next_id(self) -> int:
all_tasks = self.tasks.all()
return max((t['id'] for t in all_tasks), default=0) + 1
def insert(self, task: dict) -> int:
task['id'] = self.get_next_id()
self.tasks.insert(task)
return task['id']
def get(self, task_id: int) -> Optional[dict]:
return self.tasks.get(self.query.id == task_id)
def get_all(self) -> List[dict]:
return self.tasks.all()
def search(self, condition) -> List[dict]:
return self.tasks.search(condition)
def update(self, task_id: int, updates: dict) -> bool:
return bool(self.tasks.update(updates, self.query.id == task_id))
def delete(self, task_id: int) -> bool:
return bool(self.tasks.remove(self.query.id == task_id))
def clear(self):
self.tasks.truncate()
def close(self):
self.db.close()
Best Practices
- Use CachingMiddleware for better performance
- Always handle database closing properly
- Use context managers for automatic cleanup
- Generate IDs automatically
- Use Query objects for type-safe queries
- Index frequently queried fields conceptually
Next.js App Router Expert
Development
A skill that turns Claude into a Next.js App Router expert.
README Generator
Development
Creates professional and comprehensive README.md files for your projects.
API Documentation Writer
Development
Generates comprehensive API documentation in OpenAPI/Swagger format.