schema-reviewer
WHEN: Database schema review, table design, normalization, constraints, index planning WHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship design WHEN NOT: Query op...
Discover devops data engineering skills, compare source repositories and read the instructions for each workflow.
WHEN: Database schema review, table design, normalization, constraints, index planning WHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship design WHEN NOT: Query op...
Design GraphQL schemas, resolvers, and federation. Optimizes queries, solves N+1 problems, and implements subscriptions. Use PROACTIVELY for GraphQL API design or performance issues.
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.
Work with Resource datasets (mutable state tracking) using OPAL temporal joins. Use when you need to enrich Events/Intervals with contextual state information, track resource state changes over time, or navigat...
Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_...
Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSON...
Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean...
Work with Interval datasets (time-bounded data) using OPAL. Use when analyzing data with start and end timestamps like distributed traces, batch jobs, or CI/CD pipeline runs. Covers duration calculations, tempo...
Work with Reference Tables (static CSV lookup data) using OPAL to enrich datasets with descriptive information. Use when you need to map IDs to human-readable names, add static metadata from CSV uploads, or per...
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pa...
Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, b...
Extracts and displays JSON data from Apache Avro files. Use this when the user wants to read, convert, or view the contents of an .avro file. Automatically deserializes nested JSON fields for better readability...
Expert PostgreSQL database guidance using Bun.sql client. Provides comprehensive patterns for queries, schema design, JSON/JSONB operations, full-text search, indexing, PL/pgSQL, pgvector, and performance optim...
SQL best practices with pgTAP, sqlfluff 3.2, query optimization, and migration management.
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...
Safe database migration procedures with backward compatibility, backups, and rollback strategies. Use when creating, modifying, or dropping database schemas. Covers migration creation, testing, execution, and r...
Plan and implement safe database schema changes including migrations, indexes, and backfills. Use when creating tables, adding columns, optimizing queries, or managing Eloquent relationships. EXCLUSIVE to datab...
Guide for using code execution capabilities to perform parallel batch processing, conditional filtering, and data aggregation. This skill should be used when agents need to analyze multiple files efficiently, v...
Automatically reviews data pipelines, optimizes SQL queries, and ensures data quality. Activates when you mention: data pipeline, ETL, SQL optimization, query performance, data quality, schema design, Airflow...
Comprehensive database management workflow that orchestrates database architecture, schema design, performance optimization, and data governance. Handles everything from database design and implementation to pe...
This skill enables querying Spanner databases through the AfterShip DSP API. It uses the go-admin-automizely-cli library to obtain authentication tokens and execute SQL queries against Spanner databases in diff...
Frontend-backend time data transmission standard, using millisecond timestamps for time points (timezone-independent); Duration/Period use ISO 8601 string format.
This skill should be used when the user asks to "create an indexer", "build a hyperindex", "index blockchain events", "write event handlers", "configure config.yaml", "define schema.graphql", "use envio", "set...
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.