claude-education-skills

Claude Education Skills Library

An open-source library of 108 evidence-based pedagogical skills for curriculum design, lesson planning, and assessment — usable today by any educator with access to Claude, and engineered for AI agent orchestration.

I'm an educator — start here No setup required. Install the plugin and start teaching.

I'm a developer or AI builder — start here YAML schemas, typed inputs and outputs, chaining metadata, live MCP server.

Who This Is For

• Classroom teachers who want evidence-based lesson and assessment design without hours of research
• University lecturers and professors who received little or no teacher training and want practical, research-grounded support for their teaching
• Curriculum designers and heads of learning building programmes, units, and assessments
• School leaders in innovative and alternative education contexts — international schools, Montessori, project-based, democratic and nature-based schools
• Innovators reimagining education — people building new school models, alternative programmes, and next-generation learning environments. Evidence-based constraints don't limit creative redesign of education; they deepen it.
• EdTech developers and AI builders who need a structured, programmatically accessible education knowledge layer
• Education researchers interested in how evidence translates into AI-mediated practice

Why This Exists

AI is arriving in education fast. Whether it improves learning outcomes or simply scales mediocre practice depends almost entirely on what it is built on.

Most AI education tools are built on convention, habit, and assumption — on what educators have always done, rather than on what the research says actually works. Learning styles. Rigid lesson structures. Wellbeing programmes disconnected from learning theory. As AI expands in education, so does the risk of scaling ineffective practice.

This library exists to build something different: a credible, rigorous foundation for AI in education. One that is anchored in named research, honest about its limitations, and designed especially for the educators working at the frontier — building the next generation of schools, not optimising existing ones.

The potential is real. Personalised, evidence-grounded learning support at a scale that was never previously possible. But only if what is powering it is the actual evidence.

The benefit is not only personalised learning. It is teaching quality and workload. An educator who would otherwise spend hours researching, designing, and second-guessing gets structured, evidence-grounded support in minutes — which means more time for the parts of teaching that only a human can do.

That is one use case. The same library can power school-wide curriculum audits, personalised professional development pathways for teachers, or orchestrated end-of-term assessment reviews. The skills are the foundation. The architecture below describes the layers that make this possible.

Installation

Three ways to use the library, depending on your setup:

Claude.ai / Claude Desktop / Cowork

Connect via the MCP server to access all 108 skills in any Claude conversation — add https://mcp-server-sigma-sooty.vercel.app/mcp under Settings → Connectors. Skills activate when your conversation matches their topic. A dedicated Skills Directory listing is in progress.

Claude Code CLI

/plugin marketplace add GarethManning/claude-education-skills
/plugin install claude-education-skills

Skills load with progressive disclosure — metadata only until a skill is actually needed.

API / Programmatic Access

Connect to the live MCP server:

https://mcp-server-sigma-sooty.vercel.app/mcp

Use this when you're building tools or agents that need to call skills programmatically. Four meta-tools provide discovery: list_skills, find_skills, suggest_skills, and get_skill_details.

What Changed in v2

The library is now compliant with the Agent Skills 1.0 open standard. What this means in practice: