Bind ATC message IDs to pattern mappings in the Simplification Knowledge Pack.
npx skills add https://github.com/sapdev-ai/sap-dev --skill sap-cc-learn
Please help me install this Agent Skill. Skill: sap-cc-learn Source: https://github.com/sapdev-ai/sap-dev/tree/main/plugins/sap-migrate/skills/sap-cc-learn Command: npx skills add https://github.com/sapdev-ai/sap-dev --skill sap-cc-learn
Bind real ATC message IDs to pattern mappings in the Simplification Knowledge Pack to improve triage matching.
Propose auto-bindings from a triaged campaign and generate a learn_proposal.md to review before applying updates.
High-intent search queries and answers about installing and using this skill.
To bind SAP ATC message IDs to pattern mappings, you run an offline process on a triaged campaign dataset to auto-bind single-pattern IDs and output a learn_proposal.md for review before applying catalog updates.
You can reduce UNMATCHED findings by applying operator classifications via an assign file to refine coverage, which updates the catalog and tightens triage matching for subsequent campaigns.
The best way to refine SAP Simplification Knowledge Pack coverage offline is by generating a learn_proposal.md from a triaged campaign dataset to review auto-bindings and operator classifications before applying them.
Yes, you need a triaged campaign dataset to operate offline and auto-bind single-pattern ATC IDs to their patterns, resulting in a review-ready learn proposal for governance.
Yes, you can review proposed ATC pattern bindings because the process generates a learn_proposal.md specifically for governance review before any updates are applied to the catalog.
UNMATCHED findings appear when ATC message IDs lack single-pattern mappings or operator classifications, requiring an assign file to manually classify and bind these IDs to reduce unmatched results.
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