course-generation-workflow

Generate curriculum and lessons in outputs/courses/{slug}/ using a deterministic linear workflow.

Updated May 6, 2025

Search Tags:#workflow automation #lesson planning #curriculum #quality checklist #course generation #file validation

Ready to run

npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill course-generation-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: course-generation-workflow
Source: https://github.com/rodrigo-altissimo/qiartificial/tree/main/.claude/skills/course-generation-workflow
Command: npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill course-generation-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents course-generation workflows from breaking by enforcing a deterministic, known-file execution path instead of relying on searching, guessing, or hunting for inputs.

Core Features & Use Cases

No-search, LINEAR workflow: Runs course creation in a strict order with explicit pre-flight checks.
File location map & guardrails: Requires templates, checklists, and optional professor mind assets to exist at known paths (creating the COURSE-BRIEF when applicable).
Quality validation loop: Generates curriculum and lessons, validates with the quality checklist, and fixes priority issues before finishing.

Quick Start

Use course-generation-workflow to generate a complete course in outputs/courses/{slug}/ by first ensuring the required templates and checklist exist at their mapped locations.

Frequently Asked Questions about course-generation-workflow

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

FAQPage Schema

How do I automate lesson planning and curriculum generation without searching for files?▼

Automated lesson planning and curriculum generation can be achieved by enforcing a deterministic, linear workflow that verifies known file locations instead of searching. This process uses pre-flight checks for templates and checklists to generate curriculum.yaml and lesson markdown files reliably.

What is a deterministic course generation workflow?▼

A deterministic course generation workflow is a strict, linear sequence of steps that builds courses without using glob or grep file hunting. It relies on known file paths and pre-flight checks to create curriculum and lesson files, ensuring reliable and predictable outputs.

How do I validate course quality after generating curriculum and lessons?▼

To validate course quality after generating curriculum and lessons, you apply a quality checklist. The workflow runs a validation loop using ANALISE-QUALIDADE-CHECKLIST, identifies priority issues, and resolves them before the course generation process completes.

Do I need specific templates to generate a course in CreatorOS?▼

Yes, generating a course in CreatorOS requires specific templates and checklists to exist at known mapped paths. The workflow performs pre-flight checks to verify these file locations and creates a COURSE-BRIEF.md in the outputs/courses directory before proceeding.

Why does my course generation workflow break when searching for files?▼

Course generation workflows break when relying on searching, guessing, or hunting for inputs. Using a strict file location map with guardrails prevents these breaks by enforcing a known execution path and verifying all required assets before running.

Can I generate course content without using glob or grep file hunting?▼

Yes, you can generate course content without glob or grep by using a linear workflow that enforces known file locations. This approach requires templates and checklists at mapped paths, creating or reading a COURSE-BRIEF.md file to guide the deterministic generation sequence.