Convert Danish tjenestemandspension policy into Drools-ready business logic.
npx skills add https://github.com/chrisstineline/CGI_Agent --skill drools
Please help me install this Agent Skill. Skill: drools Source: https://github.com/chrisstineline/CGI_Agent/tree/main/Business/Drools Command: npx skills add https://github.com/chrisstineline/CGI_Agent --skill drools
This Skill converts Danish tjenestemandspension policy requirements into precise, testable business logic so eligibility, recipients, timing, and calculations can be implemented consistently (including edge cases) in a Drools-ready way.
Ask the Skill to analyze a specific Danish tjenestemandspension case and produce a Drools-ready rule set that covers eligibility, recipient distribution, and calculation steps with clearly stated inputs, outputs, exceptions, and open questions.
High-intent search queries and answers about installing and using this skill.
To convert pension policy into testable Drools business logic, translate eligibility and calculation requirements into rules that specify inputs, decisions, outputs, exceptions, and traceable sources without silently filling gaps.
Handling edge cases and missing data in eligibility rules requires identifying contradictions, nondeterminism, and unclear formulas as open questions rather than silently inventing assumptions, ensuring completeness and consistency across recalculation scenarios.
Structuring decision tables for pension eligibility involves classifying tasks as eligibility, entitlement, distribution, calculation, timing, or exception handling, then capturing inputs, logic, and outputs for each rule with traceable sources.
Drools works for Danish tjenestemandspension policy validation by applying rule validation and traceability to pension eligibility, recipient rules, calculation logic, and edge cases across event-driven recalculation scenarios with deterministic outputs.
Ensuring traceability when translating pension policy involves clearly separating policy intent from implementation detail, naming sources for each decision output, and documenting normalized terminology alongside rule categories and conflict ordering behavior.
Limitations in automating pension calculation logic include handling nondeterminism, missing data, and unclear formulas; the approach flags these as open questions instead of silently inventing assumptions, which may require manual resolution before deployment.
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