Everyday data transformations using functional patterns - arrays, objects, grouping, aggregation, and null-safe access
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data-model-creation
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Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.
Extract and validate data from requests including JSON, forms, query parameters, and path parameters. Use for handling user input and API payloads.
data-analysis-sql
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SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
native-data-fetching
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Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, axios, React Query, SWR, error handling, caching strategies, offline support.
Organize and categorize files into logical structures. Creates folder hierarchies, renames files systematically, and consolidates related data.
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies,...
Use when implementing or modifying data analysis backend features including endpoints, aggregations, dimensions, or formatters. Ensures Clean Architecture principles, three-layer separation...
csv-data-summarizer
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Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Use when starting technical work requiring structured approach - writing tests before code (TDD), planning data exploration (EDA), designing statistical analysis, clarifying modeling objectives...
cocoindex-v1
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This skill should be used when building data processing pipelines with CocoIndex v1, a Python library for incremental data transformation. Use when the task involves processing files/data into...
cocoindex
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Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API....
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
checking-freshness
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Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.
datacommons-client
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Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health...
datacommons-client
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Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health...
lamindb
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This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets...
lamindb
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This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets...
nextjs-data
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Data Visualization
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Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders