oxy-workflow-builder

Build Oxy data workflows, SQL queries, and AI analysis agents with templates.

1|1|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/oxy-hq/skills --skill oxy-workflow-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oxy-workflow-builder
Source: https://github.com/oxy-hq/skills/tree/main/skills/oxy-workflow-builder
Command: npx skills add https://github.com/oxy-hq/skills --skill oxy-workflow-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds and standardizes Oxy data workflows, SQL queries, and AI analysis agents by enforcing a clear hierarchy and providing templates, enabling consistent pipeline design.

Core Features & Use Cases

  • Enforces the semantic-first hierarchy (semantic queries → SQL/workflows → agents) to reduce guesswork and improve maintainability.
  • Provides template-driven patterns for workflows, SQL, and agents, plus guidance on validation and testing.
  • Supports end-to-end data projects, including ETL pipelines, analytics queries, and AI-assisted data exploration.

Quick Start

Describe your data problem and I will generate the appropriate Oxy template and usage steps.

Frequently Asked Questions about oxy-workflow-builder

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

FAQPage Schema
How do I build consistent data workflows and SQL pipelines?

You build consistent data workflows by applying template-driven patterns that enforce a semantic-first hierarchy, moving from semantic queries to SQL pipelines and agents. This standardizes pipeline design and improves maintainability.

What is the best way to structure AI analysis agents for data projects?

The best way to structure AI analysis agents is by following a semantic-first hierarchy that enforces a clear metadata contract in SKILL.md. This provides templates and best practices to standardize AI-assisted data exploration.

Can I use templates for ETL pipelines and analytics queries?

Yes, you can use templates for ETL pipelines and analytics queries. The system supports end-to-end data projects by providing template-driven patterns for workflows, SQL, and agents, along with validation and testing guidance.

Do I need a metadata contract to standardize SQL queries?

Yes, you need a metadata contract in SKILL.md to standardize SQL queries. Enforcing this contract ensures consistent workflow design and supports integration with standard validation and loading workflows across your data projects.

How does the semantic-first hierarchy improve data pipeline design?

The semantic-first hierarchy improves data pipeline design by reducing guesswork through a clear progression from semantic queries to deterministic SQL and AI agents. This structured progression enforces consistency and enhances project maintainability.

When should I use templates for AI-assisted data exploration?

You should use templates for AI-assisted data exploration when building end-to-end data projects requiring standardized analysis agents. Applying these templates ensures validation, testing, and consistent metadata contracts across your workflows.