# Learning Progression Builder

Build a learning progression showing prerequisite-to-mastery steps for a target skill...

- Repository: https://github.com/GarethManning/education-agent-skills (939 stars)
- Category: Design
- License: see repository
- Last updated: 2026-10-22
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add GarethManning/education-agent-skills --skill learning-progression-builder -g -a claude-code -y`
Codex: `npx skills add GarethManning/education-agent-skills --skill learning-progression-builder -g -a codex -y`
Cursor: `npx skills add GarethManning/education-agent-skills --skill learning-progression-builder -g -a cursor -y`
Gemini CLI: `npx skills add GarethManning/education-agent-skills --skill learning-progression-builder -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add GarethManning/education-agent-skills`

## Description

Build a learning progression showing prerequisite-to-mastery steps for a target skill or understanding. Use when sequencing content, designing diagnostics, or mapping prerequisite gaps.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Learning Progression Builder

## What This Skill Does

Maps the learning progression from novice to target proficiency for a specific skill domain, identifying the sequential stages of understanding, the prerequisite relationships between them (what must come before what), common stuck points (where students typically stall and why), and diagnostic tasks that reveal which stage a student is currently at. The output is a progression map that teachers can use for three purposes: planning instruction (teaching in the right sequence), formative assessment (diagnosing where a student is), and differentiation (providing the right support for each student's current stage). AI is specifically valuable here because constructing a valid learning progression requires both deep content knowledge (understanding the logical structure of the domain) and pedagogical knowledge (knowing where students actually get stuck, which is not always where the content logic would predict).

## Evidence Foundation

The rest: https://github.com/GarethManning/education-agent-skills/blob/HEAD/skills/curriculum-assessment/learning-progression-builder/SKILL.md