5 published skills
Data Analysis Agent Skills
Skills for working with datasets, notebooks, metrics, charts, and analytical workflows.
Feedback Analysis
TerminalSkills/skills
Collect user feedback from multiple channels, categorize it, extract patterns, and turn it into prioritized product decisions. Build a systematic process from raw input to actionable insight.
Data Validator
TerminalSkills/skills
Perform comprehensive data quality checks on datasets — validate schemas, detect anomalies, find duplicates, and enforce data contracts. Essential for ETL pipelines where bad data silently corrupts downstream analytics and dashboards.
Data Extractor
TerminalSkills/skills
Extract structured data from documents in any format: PDF, DOCX, HTML, TXT, images, and more. Converts unstructured or semistructured content into clean JSON, CSV, or other structured formats. Handles invoices, forms, reports, and freetext documents.
Pandas
TerminalSkills/skills
Pandas is a Python library for loading, cleaning, transforming, and analyzing tabular data. It provides DataFrames for structured data manipulation, supports CSV, Excel, SQL, JSON, and Parquet formats, and offers powerful groupby aggregation, merge/join operations, time series resampling, and method chaining for buildi
Data Analysis
TerminalSkills/skills
Analyze tabular data from CSV, Excel, or other structured formats. Generate summary statistics, discover patterns, answer specific questions, and produce visualizations. Uses Python with pandas for data manipulation and matplotlib/seaborn for charts.
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