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name: dbcli-query description: Execute SELECT queries on 30+ databases (SQLite, SQL Server, MySQL, PostgreSQL, Oracle, etc.) using DbCli. Returns data in JSON, table, or CSV format. Use when user needs to query databases, read data, or execute SELECT statements. license: MIT compatibility: Requires DbCli CLI tool (based on .NET 10 and SqlSugar). Supports Windows, Linux, macOS. metadata: tool: dbcli version: "1.0.0" category: database supported-databases: "30+" allowed-tools: dbcli

Command Style (Use PATH)

All examples use the plain command name dbcli (no directory prefix). Ensure dbcli is on PATH instead of hardcoding paths like .\.claude\skills\dbcli\dbcli.exe.

DbCli Query Skill

Execute SELECT queries on 30+ databases using the DbCli command-line tool.

When to Use This Skill

• User wants to query database tables
• User needs to read data from a database
• User mentions SELECT, query, search, filter, or find data
• User wants to retrieve records from any supported database

Supported Databases

DbCli is built on SqlSugar and supports 30+ databases. Examples:

SQLite, SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, ClickHouse, Doris, OceanBase, TDengine, DuckDB, etc.

Command Syntax

dbcli -c "CONNECTION_STRING" [-t DATABASE_TYPE] [-f FORMAT] query "SQL_QUERY" [-p JSON] [-P params.json]

Options

Options can appear either before or after the subcommand. Command-first is recommended, and the legacy "options before command" style is also supported.

• -c, --connection: Database connection string (required)
• -t, --db-type: Database type (default: sqlite)
• -f, --format: Output format: json (default), table, csv
• -p, --params: JSON parameters object (use @Param placeholders)
• -P, --params-file: Read JSON parameters from file

Subcommand Options

• -F, --file: Read SQL from file instead of command line
• --config: Path to configuration file

Usage Examples

Basic Query

# SQLite - Query all users
dbcli -c "Data Source=app.db" query "SELECT * FROM Users"

# SQL Server - Query with TOP
dbcli -c "Server=localhost;Database=mydb;Trusted_Connection=True" -t sqlserver query "SELECT TOP 10 * FROM Users"

# MySQL - Query with LIMIT
dbcli -c "Server=localhost;Database=mydb;Uid=root;Pwd=xxxxxxxxxx" -t mysql query "SELECT * FROM Users LIMIT 10"

# PostgreSQL - Query with WHERE clause
dbcli -c "Host=localhost;Database=mydb;Username=postgres;Password=xxxxxxxxxx" -t postgresql query "SELECT * FROM Users WHERE active = true"

Table Format Output

# Display results as formatted table
dbcli -c "Data Source=app.db" -f table query "SELECT * FROM Users"

# Output:
# +----+-------+-------------------+
# | Id | Name  | Email             |
# +----+-------+-------------------+
# | 1  | Alice | alice@example.com |
# | 2  | Bob   | bob@example.com   |
# +----+-------+-------------------+

Parameterized Query (RDB)

dbcli -c "Data Source=app.db" query "SELECT @Id AS Id, @Name AS Name" -p '{"Id":1,"Name":"Alice"}'

# IN (...) with array
dbcli -c "Data Source=app.db" query "SELECT * FROM Users WHERE Id IN (@Ids)" -p '{"Ids":[1,2,3]}'

Notes:

• SQLite providers may require DisableClearParameters: true in config (maps to SqlSugar IsClearParameters=false).
• DbCli returns a single result set. SqlSugar supports multi-result sets/output parameters, but DbCli does not surface them yet.

CSV Format Output

# Export query results as CSV
dbcli -c "Data Source=app.db" -f csv query "SELECT * FROM Products" > products.csv

Query from File

# Complex query stored in file
dbcli -c "Data Source=app.db" query -F complex_query.sql

Chinese Domestic Databases

# DaMeng (达梦)
dbcli -c "Server=localhost;User Id=SYSDBA;PWD=xxxxxxxxxx;DATABASE=mydb" -t dm -f table query "SELECT * FROM dm_test"

# KingbaseES (人大金仓)
dbcli -c "Server=localhost;Port=54321;UID=system;PWD=xxxxxxxxxx;database=mydb" -t kdbndp -f table query "SELECT * FROM kingbase_test"

# GaussDB
dbcli -c "Host=localhost;Port=8000;Database=mydb;Username=gaussdb;Password=xxxxxxxxxx" -t gaussdb -f table query "SELECT * FROM gauss_test"

Advanced Queries

# Aggregation
dbcli -c "Data Source=app.db" query "SELECT category, COUNT(*) as count, AVG(price) as avg_price FROM products GROUP BY category"

# Join query
dbcli -c "Data Source=app.db" query "SELECT u.name, o.order_date, o.total FROM users u JOIN orders o ON u.id = o.user_id"

# Subquery
dbcli -c "Data Source=app.db" query "SELECT * FROM products WHERE price > (SELECT AVG(price) FROM products)"

Configuration Methods

Method 1: Command Line (Direct)

dbcli -c "Data Source=app.db" -t sqlite query "SELECT * FROM Users"

Method 2: Environment Variables

# Set once
export DBCLI_CONNECTION="Data Source=app.db"
export DBCLI_DBTYPE="sqlite"

# Use without connection string
dbcli query "SELECT * FROM Users"

# Windows PowerShell
[Environment]::SetEnvironmentVariable("DBCLI_CONNECTION", "Data Source=app.db", "User")
[Environment]::SetEnvironmentVariable("DBCLI_DBTYPE", "sqlite", "User")

Method 3: Configuration File

Create appsettings.json:

{
  "ConnectionString": "Data Source=app.db",
  "DbType": "sqlite"
}

Use config file:

dbcli --config appsettings.json query "SELECT * FROM Users"

Connection String Reference

SQLite

Data Source=app.db

SQL Server

Server=localhost;Database=mydb;User Id=sa;Password=xxxxxxxxxx;

MySQL

Server=localhost;Database=mydb;Uid=root;Pwd=xxxxxxxxxx;

PostgreSQL

Host=localhost;Port=5432;Database=mydb;Username=postgres;Password=xxxxxxxxxx;

Oracle

Data Source=localhost:1521/orcl;User Id=system;Password=xxxxxxxxxx;

ClickHouse

Host=localhost;Port=8123;Database=default;User=default;Password=xxxxxxxxxx

Notes: identifiers (table/column) may be case-sensitive; ClickHouse does not support transactions.

### MongoDB

mongodb://localhost:27017/mydb

### Doris

Server=localhost;Port=9030;Database=mydb;Uid=root;Pwd=xxxxxxxxxx;Pooling=false

If you see errors like `Unsupported command` in some network/proxy environments, try `Pooling=false`.

Some environments may require disabling NVARCHAR-style literals. DbCli supports this via config: set `DisableNvarchar: true` in `appsettings.json`.

See `../CONNECTION_STRINGS.md` for complete reference.

## Programmatic Usage

### Python

```python
import subprocess
import json

result = subprocess.run([
    'dbcli', '-c', 'Data Source=app.db',
    'query', 'SELECT * FROM Users'
], capture_output=True, text=True)

users = json.loads(result.stdout)
for user in users:
    print(f"{user['Name']} - {user['Email']}")

Node.js

const { execSync } = require('child_process');

const result = execSync('dbcli -c "Data Source=app.db" query "SELECT * FROM Users"');
const users = JSON.parse(result.toString());

users.forEach(user => {
    console.log(`${user.Name} - ${user.Email}`);
});

PowerShell

$result = dbcli -c "Data Source=app.db" query "SELECT * FROM Users" | ConvertFrom-Json
$result | ForEach-Object { Write-Host "$($_.Name) - $($_.Email)" }

Error Handling

# Check exit code
dbcli -c "Data Source=app.db" query "SELECT * FROM Users"
if [ $? -eq 0 ]; then
    echo "Query succeeded"
else
    echo "Query failed"
fi

Performance Tips

1. Use specific columns instead of SELECT * for large tables
2. Add WHERE clauses to filter data at the database level
3. Use LIMIT/TOP to restrict result set size
4. Use table format (-f table) for human review, JSON for programmatic processing
5. Store complex queries in files using -F option

Common Patterns

Check Record Count

dbcli -c "Data Source=app.db" query "SELECT COUNT(*) as total FROM Users"

Verify Table Exists

dbcli -c "Data Source=app.db" query "SELECT name FROM sqlite_master WHERE type='table' AND name='Users'"

Test Connection

dbcli -c "Data Source=app.db" query "SELECT 1"

Sample Data

# Get first 5 records
dbcli -c "Data Source=app.db" -f table query "SELECT * FROM Users LIMIT 5"

Security Considerations

1. Avoid SQL injection: Never concatenate user input directly into queries
2. Use environment variables for sensitive connection strings
3. Limit permissions: Use read-only database users for query operations
4. Validate input: Check user-provided table/column names before querying