Discover devops data engineering skills, compare source repositories and read the instructions for each workflow.
Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or th...
SQL query optimization and database performance specialist. Use when optimizing slow queries, fixing N+1 problems, designing indexes, implementing caching, or improving database performance. Works with PostgreS...
Automatically provide Recce guidance in dbt projects. Triggers when: working in dbt project directory, discussing PRs or data changes, after dbt command execution, or when user asks about data validation.
Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.
Generate a data specification from a tech spec covering schemas, lifecycle, retention, and access controls. Use when data contracts must be explicit before implementation.
Decide when and how to index Solana data vs direct RPC reads. Covers event design, backfill, storage, and performance. Use for data architecture decisions.
CTO observability stack expertise - Prometheus metrics, Loki logs, Grafana dashboards. Use when querying logs, metrics, or debugging via telemetry.
Implement high-performance virtualization strategies for massive datasets without sacrificing UX.
Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data processing, encoding handling, batch operations, and data transformation workflows.
Data engineering agent for ETL pipelines, data warehousing, and analytics
Backend architecture agent for API design, database schema, and microservices
Author SEA-DSL specifications with proper CQRS annotations, validation, and namespace conventions. Use when creating .sea files with entities, flows, and policies that require @cqrs, @tx, @outbox, and @idempote...
Expert data science guidance for analytics, data processing, visualization, statistical analysis, machine learning, and AI integration. Use when analyzing data, building ML models, creating visualizations, proc...
Performance and design guidelines for PostgreSQL database in RSSVibe, including connection pooling, JSONB columns, and query optimization. Use this skill when optimizing database performance.
Data access patterns, GUID primary keys, JSON configuration, entity configuration, and transaction handling for PostgreSQL. Use this skill when working with Entity Framework Core and database operations.
Schema design, migrations, query optimization
Use when performing JSON transformations, manipulating nested JSON structures, filtering arrays, extracting values, validating JSON schemas, or composing multi-step JSON operations. This skill provides 60+ sche...
Supabase backend patterns for Crispy CRM - RLS policies, Edge Functions, query optimization, and migration best practices. Focuses on PostgreSQL 17 patterns with soft deletes and multi-tenant architecture.
Data Provider architecture rules for Crispy CRM. Use when creating data handlers, adding new resources, modifying unifiedDataProvider, implementing CRUD operations, or working with React Admin handlers and Supa...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Provides intelligent header detection and semantic column mapping for robust da...
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Use before invoking Oracle to ensure appropriate usage of this expensive reasoning resource
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server
Expert-level dbt (data build tool), models, tests, documentation, incremental models, macros, and Jinja templating
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.