API spec for pyflow, IBM's LLM-optimized Python DSL for authoring DataStage and StreamSets flows. Its compact surface and compile-time validation offer context efficiency, fast feedback, and correctness guarantees, making it the ideal choice for writing flows…
IBM/ibm-watsonx-data-integration-skills
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Generates a Markdown bug report for an IBM watsonx.data integration session. User can invoke directly. The agent MUST propose it (and must wait for explicit acceptance) after 3 or more consecutive calls to the same tool or the same sequence of tools result in…
Guide for creating, editing, and using parameter sets (paramsets) in IBM watsonx Data Integration. Covers parameter types, value sets, PROJDEF, local parameters, runtime parameters, flow parameters, #param# and ${param} reference syntax for both DataStage…
Reference for the verbose watsonx.data integration SDK for DataStage (batch) flows, with exhaustive stage and property access. New flows can only be created with pyflow's compact DSL (`di-agent-flow-pyflow`); use this SDK to edit existing flows in place — for…
Q&A reference for the DataStage parallel engine — parallelism, partitioning theory, APT configuration files, concurrent job execution, restart/recovery, disk/resource tuning, dataset performance, flow optimization (partitioning/sorting/memory), and per-stage…