claude-education-skills

Claude Education Skills Library

An open-source library of 111 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.

Feedback & Contributions

I'd love to hear your thoughts. If you have suggestions, find bugs, or want to contribute:

• Email: [email protected]
• X: https://x.com/worldteacherman
• LinkedIn: https://www.linkedin.com/in/gareth-manning-a404b387/
• Open a Pull Request or Issue on GitHub

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.

Using the Library

Claude.ai, Claude Desktop, or Cowork (easiest)

Add the MCP server URL under Settings → Connectors:

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

That's it. On first use: click the + icon in the message bar → select Connectors → find Claude Education Skills and toggle it on. After that, skills activate automatically in every conversation — no manual activation needed.

Claude Code (local via npx)

Run the server locally without any account or deployment:

npx claude-education-skills

Or add it permanently to your Claude Code config:

{
  "mcpServers": {
    "claude-education-skills": {
      "command": "npx",
      "args": ["claude-education-skills"]
    }
  }
}

Claude Code CLI (plugin)

/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.

Remote MCP (API / programmatic)

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