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Azuredatastudio

这是一款轻量CLI数据处理分析工具,核心功能涵盖数据查询、导入导出、格式转换、校验、去重、统计等,提供12类操作命令。典型场景包括快速本地数据查询、跨格式转换、数据schema校验等,无需数据库服务。通过CLI命令输入,结果输出至标准输出或指定文件,数据存储在本地目录,可通过环境变量修改路径,适配Linux和macOS系统。

ckchzh
ckchzh
热度 71.77
最近更新 2026-05-17 14:27:05
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 文件转换 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add azuredatastudio
Metadata
version
2.0.0
name
Azuredatastudio
description
Azure Data Studio is a data management and development tool with connectivity to popular cloud and o azuredatastudio, typescript, azure, azure-data-studio.
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills

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 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:

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

  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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