Orchestrate multi-turn SAP diagnosis workflows across modules without live system access.
npx skills add https://github.com/BoxLogoDev/sapstack --skill sap-session
Please help me install this Agent Skill. Skill: sap-session Source: https://github.com/BoxLogoDev/sapstack/tree/main/plugins/sap-session/skills/sap-session Command: npx skills add https://github.com/BoxLogoDev/sapstack --skill sap-session
Evidence Loop-based SAP diagnostics often require live system access and coordination across multiple expert roles. sap-session provides a safe, turn-based orchestrator that lets humans collect evidence while the AI generates hypotheses, verifies results, and suggests fixes, enabling diagnosis without direct live access.
Start a new sap-session with the CLI by providing your initial symptom and optional first evidence bundle, then proceed with /sap-session-next-turn to begin hypothesis generation.
High-intent search queries and answers about installing and using this skill.
You orchestrate SAP diagnostics without live system access using a turn-based Evidence Loop where humans collect evidence and AI generates hypotheses, verifies results, and suggests fixes across modules like FI, CO, MM, and SD.
The Evidence Loop workflow for SAP troubleshooting follows a four-turn sequence: Intake, Hypothesis, Collect, and Verify. It maintains persistent session state and evidence bundles to ensure auditable, rollback-ready fixes across 18 SAP modules and 15 consultant agents.
To start a multi-turn SAP diagnosis session, provide your initial symptom and an optional first evidence bundle via the CLI, then issue the next-turn command to begin AI hypothesis generation. The session tracks state across CLI, VS Code, or web portal surfaces.
Yes, AI orchestration supports SAP module troubleshooting across FI, CO, TR, MM, SD, PP, HCM, PM, QM, WM, EWM, ABAP, BASIS, S4MIG, BC, Cloud PE, and more. It coordinates 15 consultant agents to streamline intake, hypothesis, collection, and verification turns.
SAP session orchestration supports rollback planning and audit tracking by enforcing schemas and persistent session-state tracking. It maintains evidence bundles throughout the Intake, Hypothesis, Collect, and Verify workflow to enable compliant, auditable governance.
Turn-based SAP diagnosis without direct system access relies on human-collected evidence rather than live queries, meaning it cannot autonomously pull real-time data. It requires operators to manually supply evidence bundles for the AI to generate hypotheses and verify results.
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