SuperAPI AI Directory

mainframe-ai

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Updated 10-15 19:58

About this skill

mainframe-ai

Overview

Use this skill when a task involves AI-assisted IBM z/OS or mainframe analysis, operations support, or modernization planning. The upstream project, W00t3k/mainframe-ai, is oriented around mainframe assistant workflows.

Compatibility: IBM z/OS, COBOL, JCL, and mainframe operations.

Workflow

  1. Establish the operating context: z/OS subsystem, batch job, dataset, CICS transaction, Db2 object, VSAM file, or COBOL program.
  2. Gather read-only evidence first, including JCL, PROC definitions, SYSOUT snippets, job history, abend codes, copybooks, and runbooks.
  3. Translate mainframe artifacts into explicit operational facts: job purpose, inputs, outputs, schedules, dependencies, and failure modes.
  4. For modernization tasks, map each artifact to a target disposition: retain, document, wrap, automate, convert, or retire.
  5. Produce operator-safe next steps with commands or code clearly separated from analysis.

Guardrails

  • Treat production mainframe actions as high risk. Prefer read-only inspection and require human approval before suggesting state-changing commands.
  • Preserve dataset naming, generation data group behavior, job restart semantics, and security controls.
  • Do not infer abend root cause from a code alone; correlate with JCL, logs, program changes, and data conditions.
  • Check the upstream repository before relying on any command examples or assistant integration details.

Expected Output

Return an evidence-backed mainframe analysis with affected artifacts, operational interpretation, modernization options, risks, and next actions.