configure-bundle

Configure Hydrolix integration bundles into validated deployment-ready packages.

2|1|Updated May 6, 2025
One-click install
npx skills add https://github.com/hydrolix/integration-deployment-templates --skill configure-bundle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: configure-bundle
Source: https://github.com/hydrolix/integration-deployment-templates/tree/main/.claude/skills/configure-bundle
Command: npx skills add https://github.com/hydrolix/integration-deployment-templates --skill configure-bundle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the end-to-end setup of Hydrolix integration bundles by organizing bundle components, validating data structures, and generating a deployment-ready bundle.json.

Core Features & Use Cases

  • Normalizes bundle structure for single and multi-transform configurations.
  • Validates and standardizes sample_data, sample_data.json, and SQL transform metadata.
  • Builds and updates bundle.json with dependencies, dashboards, and summary configurations.
  • Produces transformed files and dashboard configurations for AWS and TrafficPeak contexts.
  • Ideal for data teams automating Hydrolix integrations and deployments.

Quick Start

Provide a directory containing a Hydrolix integration bundle and run the skill to produce a validated bundle.json, organized transformations, and prepared dashboards.

Frequently Asked Questions about configure-bundle

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

FAQPage Schema
How do I automate Hydrolix bundle configuration and validation?

Automate Hydrolix bundle configuration by orchestrating end-to-end setup, which normalizes transformations, validates sample_data, fixes SQL prefixes, and composes a deployment-ready bundle.json file.

What is the best way to organize a multi-transform Hydrolix integration bundle?

Organizing a multi-transform Hydrolix integration bundle involves normalizing the transformations folder, validating sample_data.json structures, and composing bundle.json with dependencies, dashboards, and summary configurations.

Does the Hydrolix bundle setup support both AWS and TrafficPeak SQL contexts?

Hydrolix bundle setup supports both AWS and TrafficPeak contexts by validating and fixing SQL prefixes to ensure transform metadata aligns with the specific deployment environment requirements.

How do I prepare Hydrolix dashboards and dependencies for deployment?

Prepare Hydrolix dashboards for deployment by composing bundle.json with summary configurations, validating sample data, and producing transformed files alongside prepared dashboard configurations ready for release.

Can I analyze scripts and references to enrich Hydrolix bundle metadata?

Analyzing scripts, references, and assets directories enriches Hydrolix bundle metadata by generating an updated bundle.json that incorporates validated configurations and deployment-ready package details.

Why does my Hydrolix sample_data validation fail during bundle setup?

Hydrolix sample_data validation fails when data structures are misaligned; the setup process normalizes sample_data and sample_data.json files to ensure they meet the required deployment specifications.