Instructional Agents — Claude Code Skills

Claude Code skills that wrap the Instructional Agents multi-agent pipeline. One command to install; your Claude Code session instantly gains the ability to generate courses, convert LaTeX to PPTX, compile slides, and more.

📖 Cite

If these skills or the underlying pipeline are useful in your work, please cite:

@misc{yao2025instructionalagentsllmagents,
  title={Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design},
  author={Yao, Huaiyuan and Xu, Wanpeng and Turnau, Justin and Kellam, Nadia and Wei, Hua},
  year={2025},
  eprint={2508.19611},
  archivePrefix={arXiv},
  primaryClass={cs.AI},
  url={https://arxiv.org/abs/2508.19611},
}

🚀 Install

# 1. Install the underlying package (one time)
pip install instructional-agents

# 2. Install the skills as a Claude Code plugin
/plugin install DaRL-GenAI/instructional_agents-skills

Or install manually by cloning into your skills directory:

git clone https://github.com/DaRL-GenAI/instructional_agents-skills \
  ~/.claude/plugins/instructional-agents

Restart Claude Code. You're done.

🧰 Included Skills

Skill	Trigger	What it does
latex-to-pptx	"Convert this .tex to PowerPoint"	Parses a Beamer .tex file and produces a fully-editable .pptx
latex-compile	"Compile all LaTeX in this folder"	Batch-compiles .tex → .pdf with cache management
slide-evaluate	"Evaluate these slides as Program Chair and as a student"	Runs Program Chair + Test Student review agents on slide output
course-generate	"Generate a full course on X"	Runs the complete ADDIE multi-agent pipeline (Phase 1–3)

🎯 Example Usage

Convert LaTeX slides to editable PowerPoint

> I have slides/chapter1.tex — convert it to PPTX

Claude invokes skill `latex-to-pptx`:
  Input:  slides/chapter1.tex
  Output: slides/chapter1.pptx (editable, ~35 slides)

Generate a full course

> Generate an undergraduate course on "Reinforcement Learning"
  using gpt-4o-mini

Claude invokes skill `course-generate`:
  - Phase 1: Foundation deliberations (LO, syllabus, assessment...)
  - Phase 2: Per-chapter slide + script + assessment
  - Phase 3: PC review + Test Student review
  Output: exp/reinforcement_learning/ with PDF + editable LaTeX

🔧 Requirements

• Python ≥ 3.11
• pip install instructional-agents
• OPENAI_API_KEY environment variable (for LLM-backed skills)
• For latex-to-pptx: Node.js + npm install -g pptxgenjs
• For latex-compile: a LaTeX distribution (pdflatex / xelatex)

📄 License

MIT License — see LICENSE.

🔗 Links

• 📦 Main repo
• 📄 Paper (arXiv)
• 🌐 Homepage
• 🐛 Issues