Discover tools data engineering skills, compare source repositories and read the instructions for each workflow.
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...
This skill should be used when the user asks to "migrate from subgraph", "convert subgraph to hyperindex", "migrate from thegraph", "port subgraph", "convert subgraph handlers", "migrate assemblyscript to types...
Process construction estimate documents (Excel/CSV/PDF) from Supabase and convert them to EstimationElement format. Use when users need to ingest construction estimates, DQE (Descriptive Quantitative Estimate),...
Upload estimation results to Supabase storage and register with Estimator API. Final phase of the estimation workflow.
Use when working with data transformations, scales, color schemes, formatting, or CSV/TSV parsing. Invoke for data processing pipelines, scale creation, color interpolation, number/date formatting, or data load...
Complete MXQL (Metrics Query Language) toolkit for generating, analyzing, validating, and testing queries. Supports conversational query generation, automated validation, comprehensive analysis with optimizatio...
Multi-agent orchestration for comprehensive frontend + backend improvements. Use when user requests "improve the app", "optimize functionality", "make it perfect", or "enhance the system". Deploys specialized a...
Create Architecture Decision Records (ADRs) documenting key architectural choices. Analyzes context, evaluates alternatives, and captures decisions using standard ADR template. Use when documenting database des...
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipeline...
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run compl...
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.