Azuredatastudio

Azure Data Studio is a data management and development tool with connectivity to popular cloud and o azuredatastudio, typescript, azure, azure-data-studio.

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Install skill "Azuredatastudio" with this command: npx skills add ckchzh/azuredatastudio

Azure Data Studio

A data processing and analysis toolkit for querying, importing, exporting, transforming, and validating data. Provides a lightweight CLI interface for common data operations with persistent local storage.

Commands

CommandDescription
queryQuery data with provided search terms
importImport a data file into the local data store
exportExport results to a specified destination or stdout
transformTransform data from one format to another
validateValidate data against the expected schema
statsShow basic statistics (record count)
schemaDisplay the data schema (id, name, value, timestamp)
sampleShow sample data (first 5 records from data log)
cleanClean and deduplicate data entries
dashboardShow a quick dashboard with total record count
helpShow the help message with all available commands
versionPrint the current version number

Data Storage

  • Data directory: ~/.local/share/azuredatastudio/ (override with AZUREDATASTUDIO_DIR env variable)
  • Data log: $DATA_DIR/data.log — primary data storage file for records
  • History log: $DATA_DIR/history.log — tracks all command executions with timestamps

Schema

The default data schema uses the following fields:

FieldDescription
idUnique record identifier
nameEntry name or label
valueData value
timestampWhen the record was created

Requirements

  • Bash 4.0+
  • Standard Unix utilities (wc, head, cat, date)
  • No API keys or external services needed
  • No database server required — uses flat file storage
  • Works on Linux and macOS

When to Use

  1. Data querying — When you need to run quick queries against your local data store without spinning up a full database
  2. File import/export — When you need to import data files into the local store or export records for use in other tools
  3. Data validation — When you want to verify your data conforms to the expected schema before processing
  4. Data transformation — When you need to convert data between formats (e.g., restructuring fields)
  5. Quick statistics — When you want to see basic metrics like total record count or preview sample data at a glance

Examples

# Query data with search terms
azuredatastudio query "SELECT * FROM users WHERE active=1"

# Import a CSV file
azuredatastudio import data.csv

# Export results to a file
azuredatastudio export results.json

# Transform data from one format to another
azuredatastudio transform input.csv output.json

# Validate data against the schema
azuredatastudio validate

# Show basic statistics
azuredatastudio stats

# Display the data schema
azuredatastudio schema

# Preview sample data (first 5 records)
azuredatastudio sample

# Clean and deduplicate data
azuredatastudio clean

# Show a quick dashboard with totals
azuredatastudio dashboard

Output

All command results are printed to stdout. You can redirect output with standard shell operators:

azuredatastudio query "users" > query-results.txt
azuredatastudio export | jq .
azuredatastudio stats >> report.log

Configuration

Set the AZUREDATASTUDIO_DIR environment variable to change the data directory:

export AZUREDATASTUDIO_DIR="/custom/path/to/azuredatastudio"

Default location: ~/.local/share/azuredatastudio/


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