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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetBuild data quality pipelines and implement validation rules. Covers Great Expectations, dbt tests, and establishing data contracts.
Designs checks for freshness, completeness, uniqueness, validity, consistency, and distribution drift at appropriate pipeline stages. Specifies severity, ownership, failure actions, dataset quality SLAs, and incident routing. Produces monitor and quarantine policy designs; dashboard and alert wiring are outside its scope.
Transforms data supplied as CSV, Excel, or JSON into a visual report page. Focuses on polished presentation of the supplied data.
Present data using visualization, context, and persuasive narrative structure. Supports stakeholder analytics presentations, data reports, and executive presentations.
Builds charts and publication-quality figures while selecting appropriate chart types for the dataset. Applies design principles such as accessibility and color theory using matplotlib, seaborn, and plotly.
Select chart types and define graphical data encodings through marks, axes, labels, and accessible styling. Focuses on chart selection and encoding rather than creating categorical colour ramps.
Uses the Salesforce CLI plugin to build custom Python data transformations for Data Cloud. Supports initialization, local runs, scans, testing, and deployment of code extensions.
Inspects Data Lake Object and Data Model Object schemas through REST APIs. Retrieves field definitions, data types, and metadata using an org alias and an optional object name.
Supports querying and modifying the job management database, writing SQL, and creating or running migrations. Covers schema inspection, table relationships, data persistence, integrity checks, and database debugging, with schema documentation consulted before queries.
Моделирование данных и выбор хранилищ — реляционные/документные/KV, индексы, транзакции, партиционирование, миграции без простоя. Одновременно персона «Database Engineer (DBA)» поверх MCP postgres/mongodb/redis — схема, запросы, индексы, безопасные обратимые миграции, кэш. Use при проектировании схемы БД, выборе хранилища или прямой работе с данными.
Кэш и Redis — TTL, инвалидация, distributed lock, rate limiting, Streams (роль database). Use when проектируем кэширование или Redis-логику; read-only чтение ключей — $database-query.
Provides database design principles and decision-making guidance. Covers schema design, indexing strategies, ORM selection, and serverless databases.
A growing collection of real, public skills. Descriptions and instructions indexed 25 Sept 2026.
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Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name