workflows

Name: workflows
Availability: InStock
Author: goodoleusa

Ingest and orchestrate data across standardized CyberTemplate investigation workflows.

Updated Mar 15, 2026

Search Tags:#documentation #audit #reference #pipeline #workflows #data-ingestion

Ready to run

npx skills add https://github.com/goodoleusa/cybertemplate-pipeline --skill workflows-goodoleusa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflows
Source: https://github.com/goodoleusa/cybertemplate-pipeline/tree/main/.claude/skills/workflows
Command: npx skills add https://github.com/goodoleusa/cybertemplate-pipeline --skill workflows-goodoleusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides centralized access to standardized data ingestion workflows, script inventory, and pipeline documentation for CyberTemplate investigations, reducing setup time and ensuring consistency.

Core Features & Use Cases

Standardized 8-step ingestion pipeline (AUDIT, EXTRACT, TRANSFORM, DASHBOARD, REPORT, STAT, ADMIN, PUBLISH) for new data sources
Access to pipeline references, script inventories, and output expectations to guide reproducible investigations
Use Case: when starting a new data ingestion task or validating existing pipelines against best practices

Quick Start

Review the eight-stage pipeline and its outputs to begin a data ingestion task.

Frequently Asked Questions about workflows

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

FAQPage Schema

What are the standard stages for a data ingestion pipeline?▼

A standard data ingestion pipeline consists of eight stages: AUDIT, EXTRACT, TRANSFORM, DASHBOARD, REPORT, STAT, ADMIN, and PUBLISH. This workflow enforces reproducibility and guides data sources from initial audit through final publication.

How do I document and audit data pipelines for reproducible investigations?▼

You document and audit data pipelines by enforcing reproducibility requirements and referencing standardized script inventories. This provides centralized access to pipeline documentation, ensuring consistency and reducing setup time for ongoing investigations.

Can I execute a data ingestion pipeline step by step?▼

Yes, you can execute the data ingestion pipeline step by step. The workflow supports sequential pipeline execution, allowing you to validate outputs and maintain pipeline adherence at each stage of the ingestion process.

How do I validate existing data ingestion workflows against best practices?▼

You validate existing data ingestion workflows by comparing them against the standardized eight-stage pipeline. Review the script inventory, output expectations, and documented references to ensure your current pipelines meet reproducibility and cost-aware extraction requirements.

Does this ingestion workflow support cost-aware data extraction?▼

Yes, the ingestion workflow supports cost-aware data extraction. It is designed for new data sources and ongoing investigations, enforcing reproducible scripting and pipeline adherence while managing extraction costs across the standardized stages.