qlik-ai-readiness-optimizer
Installation
SKILL.md
Qlik AI Readiness Optimizer
Systematically analyze and optimize a Qlik Sense app for AI readiness — specifically for Qlik Answers and Qlik MCP consumption — based on Turan Pinar's 5-Layer Model (adapted).
Example request: "Use the qlik-ai-readiness-optimizer to give me an AI Readiness report of my Sales Qlik app on my product tenant." The skill scores all five layers, returns the report with a prioritized optimization roadmap, then helps you act on roadmap items interactively — confirming each change before it's applied.
Why this exists
The Qlik Engine world is deterministic and technical. The AI world is semantic and probabilistic. Bridging them requires careful preparation across 5 layers. Without this preparation, Qlik Answers will deliver suboptimal results.
The 5-Layer Model
| # | Layer | Priority | What it affects |
|---|---|---|---|
| 1 | Field Naming | 🔴 Critical | AI schema understanding |
| 2 | Field Visibility | 🔴 Critical | AI noise reduction |
| 3 | Master Items + Descriptions | 🔴 Critical | AI metric precision, accuracy, and group/visibility to Qlik Answers |
| 4 | Date Fields + AutoCalendar | 🟠 High | Time-based question accuracy |
| 5 | Synonyms / Vocabulary | 🟡 Enhancement — not scored | Business jargon, multilingual support |