Azuredatastudio
/install 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
| Command | Description |
|---|---|
query |
Query data with provided search terms |
import |
Import a data file into the local data store |
export |
Export results to a specified destination or stdout |
transform |
Transform data from one format to another |
validate |
Validate data against the expected schema |
stats |
Show basic statistics (record count) |
schema |
Display the data schema (id, name, value, timestamp) |
sample |
Show sample data (first 5 records from data log) |
clean |
Clean and deduplicate data entries |
dashboard |
Show a quick dashboard with total record count |
help |
Show the help message with all available commands |
version |
Print the current version number |
Data Storage
- Data directory:
~/.local/share/azuredatastudio/(override withAZUREDATASTUDIO_DIRenv 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:
| Field | Description |
|---|---|
id |
Unique record identifier |
name |
Entry name or label |
value |
Data value |
timestamp |
When 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
- Data querying — When you need to run quick queries against your local data store without spinning up a full database
- File import/export — When you need to import data files into the local store or export records for use in other tools
- Data validation — When you want to verify your data conforms to the expected schema before processing
- Data transformation — When you need to convert data between formats (e.g., restructuring fields)
- 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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- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install azuredatastudio - 安装完成后,直接呼叫该 Skill 的名称或使用
/azuredatastudio触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Azuredatastudio 是什么?
Azure Data Studio is a data management and development tool with connectivity to popular cloud and o azuredatastudio, typescript, azure, azure-data-studio. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 388 次。
如何安装 Azuredatastudio?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install azuredatastudio」即可一键安装,无需额外配置。
Azuredatastudio 是免费的吗?
是的,Azuredatastudio 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Azuredatastudio 支持哪些平台?
Azuredatastudio 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Azuredatastudio?
由 BytesAgain2(@ckchzh)开发并维护,当前版本 v2.0.1。