education-agent-skills

Education Agent Skills Library

An open-source library of 131 evidence-based pedagogical skills for curriculum design, lesson planning, and assessment — works in Claude Code, Claude.ai (via MCP), and OpenAI Codex, and engineered for AI agent orchestration.

Get Started

Works with Claude, Codex, and any tool that supports the Agent Skills standard.

Claude

CoWork (easiest) — go to Customize → (+) Add Plugin and paste:

https://github.com/GarethManning/education-agent-skills

Claude Code CLI — install from the repo URL:

claude plugin install https://github.com/GarethManning/education-agent-skills

Claude.ai / Claude Desktop (MCP server) — add under Settings → Connectors:

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

OpenAI Codex

Clone the repo and install as a plugin, or copy individual skill folders to ~/.codex/skills/:

git clone https://github.com/GarethManning/education-agent-skills.git
# Global access to a single skill:
cp -r skills/<domain>/<skill-name> ~/.codex/skills/

Any Agent Skills-compatible tool

Copy skill folders from skills/ into your agent's skills directory. Each skill is a folder containing SKILL.md with name/description frontmatter — no dependencies, no build step.

Manual (no setup)

1. Open any skill file in the repository (under skills/)
2. Copy the prompt block
3. Paste it into any AI and fill in the fields for your class or context

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.