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DataPallas Cookbook

Adapt DataPallas configurations, Groovy DSL patterns, and report templates into working solutions.

75|8|Updated Dec 20, 2023
Search Tags:#bi dashboards#report bursting#data pallas#groovy dsl#report templates#semantic layer cubes#ai prompt library
One-click install
npx skills add https://github.com/flowkraft/datapallas --skill datapallas-cookbook
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: DataPallas Cookbook
Source: https://github.com/flowkraft/datapallas/tree/main/asbl/src/main/external-resources/db-template/_apps/flowkraft/_ai-hub/.skills/datapallas-cookbook
Command: npx skills add https://github.com/flowkraft/datapallas --skill datapallas-cookbook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents slow trial-and-error by giving you a curated set of real, production-ready DataPallas examples for reports, dashboards, and Groovy scripting.

Core Features & Use Cases

  • Working sample configurations: Reference-ready config samples for report bursting and report generation workflows, including patterns that map common business requirements to DataPallas setup.
  • Template and component guidance: Study Groovy DSL patterns for web components (charts, tabulators, pivot tables, parameters, reports) and reusable semantic layer cube definitions.
  • AI prompt reference library: Use a bundled prompt catalog as a source of intent and constraints (variable conventions, formatting/page rules) when drafting solutions with external LLMs.
  • Practical “read the disk” workflow: Follow a consistent approach—locate relevant samples, read the exact underlying files, then adapt the pattern to your target task.

Quick Start

Ask your AI assistant to build your report or dashboard by first identifying the closest matching sample inside the DataPallas Cookbook and adapting the associated config or Groovy script to your inputs and output format.

Frequently Asked Questions about DataPallas Cookbook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build BI dashboards using Groovy DSL patterns in DataPallas?▼

Report bursting in DataPallas is implemented by locating the relevant sample configuration files on disk, reading the exact underlying generation patterns, and adapting the splitting logic to match your business requirements and output destinations.

What is the best way to define semantic layer cubes for reporting?▼

Defining semantic layer cubes involves studying the reusable Groovy DSL definitions provided in the sample locations, then aligning those scripting and templating choices to your simplest feasible data workflow and SQL database connections.

Can I use an AI prompt library to draft external LLM report templates?▼

You need access to the SKILL-provided sample locations on disk to extract the design pattern from the referenced files, and you must leverage a database-connections skill when SQL is involved in your reporting workflow.

Why does my DataPallas report generation require reading sample files first?▼

Reading sample files first prevents slow trial-and-error by providing real, production-ready configurations, ensuring you correctly extract the design pattern and align scripting choices before implementing your target report generation task.

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