GarethManning

An open-source library of evidence-based Claude skills for educators — designed for teacher use and agent orchestration.

25
6
100% credibility
Found Mar 06, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A library of 106 copy-paste prompts for Claude AI that help educators create evidence-based lesson plans, assessments, and curriculum designs.

How It Works

1
🔍 Discover the teaching toolkit

You stumble upon this free collection of smart guides designed to help teachers create better lessons using AI.

2
📚 Pick your teaching challenge

Browse the 14 areas like memory tricks, lesson planning, or student motivation to find one that matches what you need.

3
📂 Open a guide

Click into a specific guide, like one for spacing out study sessions over weeks.

4
📋 Copy and paste into AI chat

Grab the ready-to-use instruction sheet, paste it into your Claude AI conversation, and it feels effortless.

5
✏️ Add your class details

Type in simple info like your topics, timeline, and how often you teach.

6
Receive your custom plan

The AI instantly builds a detailed, week-by-week schedule with practical activities tailored just for your students.

Teach smarter, save time

You now have evidence-backed lesson plans that make teaching easier and more effective, freeing up time for what matters.

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AI-Generated Review

What is claude-education-skills?

This open-source library packs 106 evidence-based prompts tailored for Claude AI, helping educators generate structured outputs for lesson planning, curriculum design, and assessments. Paste a prompt into Claude with your class details—like topics and timelines—and get ready-to-use schedules or rubrics grounded in research like spaced practice from Cepeda et al. Built as YAML schemas in markdown, it's a github open source library for direct teacher use or plugging into AI agents as an open source github copilot alternative.

Why is it gaining traction?

Unlike generic prompt packs, every skill rates evidence strength (strong to emerging), cites sources, and includes chaining metadata for agent orchestration—making it a structured knowledge layer for education apps. Developers get typed inputs/outputs and search-ready formats, while teachers skip research for instant, practical tools. As an open source library for agent workflows, it stands out for rigor in a sea of unverified edtech prompts.

Who should use this?

Classroom teachers designing evidence-based units without hours of digging; university lecturers needing quick metacognition scaffolds; EdTech devs building personalized learning agents or open source github actions alternatives for curriculum audits. AI builders orchestrating education bots will value the YAML for programmatic calls.

Verdict

Solid starting point for Claude-powered edtools at 25 stars and strong README docs, but 1.0% credibility score flags early maturity—test a few skills before production. Worth forking if you're in education AI; skip if you need battle-tested code over prompts.

(198 words)

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