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Found 6 Skills
Creates Robot Framework test cases for comparing actual vs expected CSV output files. Use when the user wants to compare CSV files, validate pipeline output against expected results, or needs to exclude dynamic columns from comparison.
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, testing ML pipelines, verifying dependencies, debugging training failures, or ensuring data quality before training.
Guides Python SDK development in Apache Beam, including environment setup, testing, building, and running pipelines. Use when working with Python code in sdks/python/.
Build, troubleshoot, and test VoltSP pipelines (Java DSL and YAML API), including runtime configuration/secrets interpolation and deployment via CLI or Kubernetes/Helm. Use when authoring pipeline definitions, environment configs, plugin extensions, or pipeline validation tests.
Use when creating, running, or debugging elastic-package tests — pipeline fixture authoring and expected output, system tests with mock API wiring, and script tests for failure paths and upgrades. Load the reference file for the test type you are working on.
Creates new Robot Framework test cases for SnapLogic pipeline testing. Use when the user wants to create a new test file, add test cases to existing files, or needs test templates for specific system types (Oracle, PostgreSQL, Snowflake, etc.).