cloudflare-d1
Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations
发现 devops data engineering 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python
Create and manage database migrations with reversible changes, proper naming conventions, and zero-downtime deployment strategies. Use this skill when creating database migration files, modifying schema, adding...
Query BSL semantic models with group_by, aggregate, filter, and visualizations. Use for data analysis from existing semantic tables.
Build BSL semantic models with dimensions, measures, joins, and YAML config. Use for creating/modifying data models.
Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.
Use when transforming events at any point in the flow (source→collector or collector→destination), configuring data/map/loop/condition, or understanding value extraction. Covers all mapping strategies.
This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize data trends. Use this skill for tasks involving da...
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring...
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
Use when developing Salesforce applications, Apex code, Lightning Web Components, SOQL queries, triggers, integrations, or CRM customizations. Invoke for governor limits, bulk processing, platform events, Sales...
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics...
Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolu...
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
Apply Change Data Capture (CDC) with apply_changes API in Spark Declarative Pipelines. Use when user needs to process CDC feeds from databases, handle upserts/deletes, maintain slowly changing dimensions (SCD T...
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, t...
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing...
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database opt...
SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalizati...
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。