After three years building AI tools for education, a developer has open-sourced a collection of Agent Skills designed to solve real classroom problems. The project moves beyond simple prompt engineering, offering modular components for lesson planning, homework review, error analysis, and exam preparation. Each skill is built to be reusable and adaptable, reflecting hard-won lessons about what works in AI tutoring. The author emphasizes that effective AI education requires more than a single prompt—it needs structured agents that understand context, track student progress, and handle edge cases. This project is a practical blueprint for EdTech startups and indie developers looking to build production-ready AI learning assistants. The skills are available on GitHub and can be integrated with popular LLM frameworks.
A developer shares 3 years of experience in AI education, culminating in an open-source Agent Skills project. The project provides modular, reusable components for tasks like lesson planning, homework review, and exam prep, addressing common pitfalls in AI tutoring. This is a valuable resource for anyone building AI-powered educational tools.