A multi-agent development pipeline for Qlik Sense.
9-phase workflow from requirements through documentation. You provide source materials and requirements; the pipeline produces production-grade load scripts, expressions, visualization specs, QA reports, and documentation. More
Skills 14 in the Claude listing
Data quality validator Post-load data quality validation patterns for Qlik development. Platform conventions Captures existing platform patterns for brownfield Qlik projects. Qlik cloud mcp Capability registry for the Qlik Cloud MCP server. Qlik data modeling Star schema patterns, key resolution strategies, synthetic key prevention, QVD layer design, multi-app architecture patterns, source architecture consumption strategies, and associative engine behavio Qlik deploy Deployment procedures for Qlik Sense Cloud and client-managed environments. Qlik expressions Set analysis syntax and patterns, aggregation functions, TOTAL qualifier usage, Aggr() patterns, conditional expressions, null handling in expressions, dollar-sign expansion, expression performance op Qlik load script Script syntax reference, QVD optimization, incremental load patterns (insert-only, insert/update, insert/update/delete, dual-timestamp for SCD2), master calendar generation, variable definitions, erro Qlik naming conventions Field naming with entity-prefix dot notation, table naming, variable naming (v prefix), expression naming, file naming (.qvs, QVD), key field conventions (% prefix, HideSuffix), cross-layer field mapp Qlik performance Performance optimization for Qlik Sense: three-metric framework (Base RAM, Peak RAM, Reload Time), key encoding hierarchy, QVD optimized load rules, expression performance (If vs set analysis, Aggr ca Qlik project scaffold Initialize a new Qlik project with standard directory structure, input subdirectories, artifact phases, and dependency tracking template. Qlik review checklist Complete QA checklist used by the qa-reviewer agent for validating Qlik development artifacts. Qlik security Section access patterns, row-level security, data reduction, OMIT field usage, hybrid security models, and Cloud vs. Qlik visualization Chart type selection guide with decision criteria based on data relationships, layout patterns and responsive design, color and formatting standards including accessibility-safe palettes, filter desig Source profiler Data source profiling capability for Qlik development. 