Course generate

Skill DaRL-GenAI/instructional_agents-skills/skills/course-generate

Official skiils for Instructional Agents (EACL'26 Main)

Install

npx -y skills add DaRL-GenAI/instructional_agents-skills --skill course-generate

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Generate a complete course — learning objectives, syllabus, slides (LaTeX), scripts, and assessments — using the ADDIE multi-agent pipeline. Use when the user asks to "create a course on X", "generate teaching materials for X", "build an undergraduate/graduate course on X", or similar end-to-end course-authoring requests.

SKILL.md

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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 "<course name>" \
  [--model <model_name>] \
  [--exp-name <tag>] \
  [--catalog <catalog_name>] \
  [--copilot <copilot_name>]

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/<exp-name>/
├── 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.