Pupfish
Qlik analytics and quality
Skills for Qlik data models, expressions, deployment, naming, and data quality checks.
Featured skills
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...
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...
qlik-load-script
Script syntax reference, QVD optimization, incremental load patterns (insert-only, insert/update, insert/update/delete,...
qlik-naming-conventions
Field naming with entity-prefix dot notation, table naming, variable naming (v prefix), expression naming, file naming...
qlik-performance
Performance optimization for Qlik Sense: three-metric framework (Base RAM, Peak RAM, Reload Time), key encoding...
qlik-project-scaffold
Initialize a new Qlik project with standard directory structure, input subdirectories, artifact phases, and dependency...
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.
Pydantic
Python validation and observability
Skills for Pydantic validation, AI agents, Logfire instrumentation, and telemetry workflows.
Pytorch
Deep learning development
PyTorch skills for kernels, debugging, documentation, and model infrastructure.
Qdrant
Vector search development
Skills for Qdrant deployment, SDKs, monitoring, search performance, and model migrations.