Execute SQL queries, process spreadsheets, and generate insights from datasets.
npx skills add https://github.com/szsip239/teamclaw --skill data-analyst-szsip239
Please help me install this Agent Skill. Skill: data-analyst Source: https://github.com/szsip239/teamclaw/tree/main/data/skills/data-analyst Command: npx skills add https://github.com/szsip239/teamclaw --skill data-analyst-szsip239
Data analysis workflows are time-consuming and error-prone when performed manually. This skill enables AI agents to query databases, analyze spreadsheets, visualize data, and generate automated reports.
Configure your data sources, set up your workspace, and start analyzing data.
High-intent search queries and answers about installing and using this skill.
To automate SQL queries and spreadsheet analysis, you can configure your data sources and workspace to execute queries, process CSV or Excel files, and generate reproducible data insights. It supports end-to-end data access and cleaning.
Yes, you can connect to MySQL, PostgreSQL, and SQLite databases. The skill dependencies include sqlite3, psql, and mysql, allowing you to fetch precise data slices by executing SQL queries directly against these database systems.
The best way to clean data and generate automated reports from CSV files is by processing the spreadsheets within an analytics workspace, computing descriptive statistics, identifying quality issues, and producing narrative reports with key metrics.
Yes, this skill supports data visualization for ad-hoc analytics. It creates charts, graphs, and dashboards to communicate findings, helping turn raw datasets into visual insights for data-driven decision-making across various database and file formats.
You can execute reproducible data cleaning and statistical analysis by applying automated scripts to your datasets. This computes descriptive statistics, identifies data quality issues, and ensures every transformation step is repeatable for BI workflows.
Spreadsheets have limitations in scale and automation for data-driven decision-making. While this skill processes CSV and Excel files for transformations, complex ad-hoc analytics across large warehouses or databases require executing dedicated SQL queries instead.
mxzinkeRead, clean, transform, and convert spreadsheet data across .xlsx, .csv, and .tsv formats.
inbharataiCompile data-driven reports with charts, tables, and narrative sections in Python.
saeed-vayghanAnalyzes raw data using SQL, Python, and BI tools for actionable insights and dashboard development.
Claude-Code-Community-IrelandAnalyze business data to create KPI frameworks and predictive models.
