Analyze the current conversation's tool calls, responses, errors, and approach to produce a structured feedback report for improving MCP tool usage with ARC-1. Use when the user asks to "analyze this session", "review my chat", "give feedback on tool usage", "how did I do", or wants a retrospective on a debugging session.
Ground the assistant in the target SAP system before any coding work by producing a local system-info.md that captures SID, release, components, detected features, RAP constraints, and ARC-1 lint preset. Use when asked to "set up system context", "bootstrap the SAP system", "create system-info.md", or when starting a session against an unfamiliar SAP system.
Generate a Fiori Elements V4 LROP app (list report + object page) driven by @UI.* annotations on a V4 RAP service, using the Fiori MCP server's 3-step (list_functionalities → get_functionality_details → execute_functionality) workflow. Use when asked to "build a Fiori Elements app", "generate LROP from this V4 service", "convert to annotation-driven UI", or "scaffold Fiori Elements V4".
Explain ABAP objects with full dependency context (via SAPContext) and optional ATC code quality analysis — replicates SAP Joule's "Explain Code" capability. Use when asked to "explain this ABAP", "what does ZCL_X do", "walk me through this class/CDS view", or "review this object's quality".
Generate ABAP Unit tests for classes with dependency analysis, interface-based test doubles, and method-level surgical insertion. Use when asked to "generate unit tests for this class", "add ABAP Unit tests", "write tests for this method", or "create test doubles for ZCL_X".
Generate an ABAP Unit test class for a CDS entity using the CDS Test Double Framework — replicates SAP Joule's "CDS Unit Test Generation" capability. Use when asked to "generate CDS unit tests", "test this CDS view", "create CDSTDF tests", or "write unit tests for ZI_SALESORDER".
Generate RAP determinations, validations, and custom action implementations for an existing behavior definition by reading the RAP stack and filling empty method stubs in the behavior pool. Use when asked to "implement RAP determinations", "fill in behavior pool methods", "add RAP validation logic", or "generate custom action code".
Generate a production-quality RAP OData service through deep system research, best-practice analysis, and iterative planning with user approval before any code is written. Use when asked to "plan a RAP service properly", "research before building RAP", "design a RAP service for production", or for large RAP greenfield work in transportable packages.