Course Generate

Course Generate (Full ADDIE Pipeline)

Runs the complete multi-agent course generation pipeline:

• Phase 1 — Foundation deliberations (learning objectives, resource

assessment, target audience, syllabus, assessment planning, final project)

• Phase 2 — Per-chapter development (slides, scripts, assessments via

SlidesDeliberation)

• Phase 3 — Evaluation (Program Chair + Test Student review)

This is a long-running task — typically 20–60 minutes depending on model and number of chapters. Confirm scope with the user before launching.

When to invoke this skill

• User asks to generate a course / teaching materials / curriculum
• User provides a topic/subject and wants end-to-end output
• User wants to reproduce the paper's pipeline on new content

Do not invoke for:

• Just converting existing LaTeX → PPTX → use latex-to-pptx
• Only evaluating existing slides → use slide-evaluate
• Optimizing an existing slide chapter → (future: slide-optimize skill)

Prerequisites

• pip install instructional-agents
• OPENAI_API_KEY set in the environment
• Disk space ~10–50 MB per course

Usage

python3 "${CLAUDE_PLUGIN_ROOT}/skills/course-generate/scripts/generate.py" \
  --course "" \
  [--model ] \
  [--exp-name ] \
  [--catalog ] \
  [--copilot ]

Arguments

| Arg | Required | Description | |---|---|---| | --course | yes | Course name/topic, e.g. "Reinforcement Learning" | | --model | no | LLM model (default: gpt-4o-mini) | | --exp-name | no | Subdirectory under exp/ (default: test) | | --catalog | no | Pre-loaded reference catalog name | | --copilot | no | Copilot mode with interactive feedback |

Example

python3 "${CLAUDE_PLUGIN_ROOT}/skills/course-generate/scripts/generate.py" \
  --course "Introduction to Reinforcement Learning" \
  --model gpt-4o \
  --exp-name rl_undergrad_2026

Output structure

exp//
├── learning_objectives.md
├── resource_assessment.md
├── target_audience.md
├── syllabus.md
├── assessment_planning.md
├── final_project.md
├── chapter_1/
│   ├── slides.tex
│   ├── slides.pdf          (if compiled)
│   ├── script.md
│   └── assessment.md
├── chapter_2/...
└── evaluation/
    ├── program_chair_review.md
    └── test_student_review.md

Follow-up skills

After generation you typically want to run:

• latex-compile → produce PDFs
• latex-to-pptx → produce editable PowerPoint (per chapter)
• slide-evaluate → re-evaluate with different rubrics

Citation

This is the full pipeline from Instructional Agents (arXiv:2508.19611). Please cite if used in published work.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: DaRL-GenAI
• Source: DaRL-GenAI/instructional_agents-skills
• License: MIT
• Homepage: https://darl-genai.github.io/instructionalagentshomepage/

Install and usage instructions live in the source repository linked above.