SQL Database Toolkit
📖 技能介紹
name: sql-db-toolkit description: Comprehensive SQL database toolkit for querying, schema inspection, data export, and migration management. Use when the user wants to: (1) Query a database with SELECT/INSERT/UPDATE/DELETE, (2) Inspect table schemas, indexes, and foreign keys, (3) Export data to CSV/JSON, (4) Generate SQL migrations or schema diffs, (5) Run database backups and restore, (6) Analyze query performance with EXPLAIN, (7) Work with SQLite, PostgreSQL, MySQL, or any sqlalchemy-compatible database.
SQL Database Toolkit
Query, inspect, export, and manage databases via conversation. Supports SQLite (no setup) and PostgreSQL/MySQL (with connection string).
Quick Start
# SQLite - no setup needed
python3 skills/sql-db-toolkit/scripts/db_query.py --db my.db --sql "SELECT * FROM users LIMIT 5"
# PostgreSQL
python3 skills/sql-db-toolkit/scripts/db_query.py --conn "postgresql://user:pass@host:5432/db" --sql "SELECT table_name FROM information_schema.tables"
Common Commands
Query Database
python3 skills/sql-db-toolkit/scripts/db_query.py --db my.db --sql "SELECT id, name, email FROM users WHERE active = 1" --format table
Inspect Schema
python3 skills/sql-db-toolkit/scripts/db_schema.py --db my.db
Export to CSV
python3 skills/sql-db-toolkit/scripts/db_export.py --db my.db --sql "SELECT * FROM orders" --output orders.csv
Backup Database
python3 skills/sql-db-toolkit/scripts/db_backup.py --db my.db --output backup/來源於7w4.net。
Scripts
| Script | Purpose |
|---|---|
db_query.py |
Execute SQL queries with formatted output (table/JSON/CSV) |
db_schema.py |
Inspect tables, columns, indexes, FKs, triggers |
db_export.py |
Export query results to CSV, JSON, or SQL dump |
db_backup.py |
Backup SQLite DB or dump PostgreSQL/MySQL |
db_migrate.py |
Compare schemas, generate migration SQL |
Connection Strings
# SQLite
sqlite:///path/to/db.sqlite
# PostgreSQL
postgresql://user:password@host:5432/database
# MySQL
mysql+pymysql://user:password@host:3306/database
Options
All scripts support --help for full argument reference. Key shared options:
--db <path>— SQLite database file path--conn <url>— SQLAlchemy connection string--sql <query>— SQL query to execute--format table|json|csv— Output format--verbose— Show execution time and row counts
🤖 AI 評測
這是一個功能較全面的資料庫工具包，能滿足基本的查詢、查看錶結構、匯出資料和備份等需求。文件說明詳細清晰，新手容易上手，多資料庫支援也是亮點。但存在一些功能縮水問題：文件描述的部分功能實際上不可用，不同資料庫的支援程度參差不齊，遠端資料庫的功能明顯弱於 SQLite。整體質量中等偏上，日常簡單使用夠用，但如果需要處理複雜的跨資料庫場景，可能會遇到功能缺失的問題。
