curriculum-design
Skill1 starsChanged 24 days agoMITView on GitHub
How to design a codelabgen course curriculum (.codelabgen/curriculum.yaml) from the extracted topics and source digests — modules and lessons from simple to complex, one idea per lesson, objectives, prerequisites, the example storyline, and the sources each lesson builds on.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- KMaruthi2002/universal-llm-skillstheir own version, first seen Oct 25, 2026
- renky1025/agent-skillstheir own version, first seen Sep 25, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- renky1025/agent-skills★ 11same name
- KMaruthi2002/universal-llm-skills★ 1same name
- nisarth/claude-skills-store★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- code-authoringSkill
- codelabgen-orchestratorSkill
- course-extensionSkill
- diagrammingSkill
- example-designSkill
- lesson-reviewSkill
- notes-writingSkill
- readalong-writingSkill
- runtime-strategySkill
- site-assemblySkill
- source-articlesSkill
- source-books-coursesSkill
- source-digestSkill
- source-evaluationSkill
- source-github-reposSkill
- source-official-blogSkill
- source-official-docsSkill
- source-package-internalsSkill
- source-papers-specsSkill
- source-qaSkill
- source-talks-workshopsSkill
- source-universitySkill
- state-protocolSkill
- topic-extractionSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 35
Use a few recurring domains that are trivially understood: a calculator, support tickets, a to-do list, a library catalog, an online order.
- Very specific: line 64
Don't set services or env: the runtime planner adds them after you.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Designing the curriculum
The curriculum decides what the course teaches and in what order. Every lesson will become a runnable example, a code walkthrough and a book-style chapter. So each lesson must be one teachable idea that a single, focused example can show.
Inputs
.codelabgen/research/overview.md: the technology, its core concepts, prerequisites, recent changes.codelabgen/topics/summary.md: every topic found, how many sources cover it, difficulty, prerequisites.codelabgen/sources/index.md, then the digests with rolestructure: how the official tutorials, books and courses order the material. The official docs' tutorial sequence carries the most weight..codelabgen/research/deprecations.md: never plan a lesson around a deprecated API- the user's wishes, if the orchestrator passes any
Shape
- Three levels at most: modules, then lessons, then (rarely) sub-lessons. Leaves are lessons. A level-2 node with children is a section that groups related lessons in a big module.
- Modules are coherent themes, in order: foundations first, then core features, then advanced and production topics. A module usually has 3–8 lessons.
- Lessons: one idea each, small enough for one focused example, big enough to be worth a chapter. "Conditional edges" is a lesson. "Graphs" is a module. "The second argument of add_edge" is a paragraph.
- Size: there is no fixed limit. Cover what a practitioner needs to use the technology well in real projects: the core thoroughly, important advanced features, and production concerns (testing, persistence, errors, deployment) if the sources treat them. Leave out topics that only one weak source mentions. Say in the
descriptionwhat the course covers and what it leaves out.
Order and dependencies
- Simple to complex, guided by topic difficulty and prerequisites, and by how the structure sources order things. Deviate from the official order only for a clear teaching reason.
prerequisiteslists the earlier lessons a lesson relies on directly. Never point forward.- Introduce concepts just before they are needed, not all up front.
The example storyline
Plan which example each lesson uses. This is what makes the course feel like one piece:
- Use a few recurring domains that are trivially understood: a calculator, support tickets, a to-do list, a library catalog, an online order. Use one domain across a module where it fits.
example: {name: ticket-router, mode: extend, from: "1.2"}means the lesson starts from lesson 1.2's code and adds the new concept. Chains of 2–4 lessons work well. Longer chains make each delta harder to see, so start a fresh example at a natural break.mode: newwhen the concept needs a different shape of program, or at the start of a module.- The example names (kebab-case) are shared between lessons that use the same example.
Lesson fields
title: "Курс по LangGraph: от первого графа до продакшена" # course language
description: >- # course language: scope, audience, prerequisites
…
modules:
- id: "1"
title: Основы LangGraph # course language
slug: basics # English kebab-case, used in directory names
summary: … # course language, 1–2 sentences
children:
- id: "1.1"
title: "Первый граф: состояние, узлы и рёбра"
slug: hello-graph
summary: … # what the lesson teaches and what the example does
objectives: # course language, 2–4 observable outcomes
- Описать состояние графа через TypedDict и понять, как узлы его обновляют
prerequisites: []
example: {name: calculator, mode: new}
sources: [official-docs--docs-langchain-com--3cfc8e, …] # 2–6 digest idssources: the digests this lesson's writers should start from. Include acode-truthsource, aconceptssource, and apitfallssource when one exists. Use ids fromcodelabgen sources list --status kept --status user --brief.- Don't set
servicesorenv: the runtime planner adds them after you. codelabgen schema show curriculumprints the schema.
Finish
codelabgen curriculum number --course <dir>assigns ids by position and fixes references, so you can reorder freely.codelabgen curriculum validate --course <dir>must printok.- Status notes: the number of modules and lessons, the main storyline, and anything you deliberately left out.
Revising after user feedback
The orchestrator passes the user's requests. Make the smallest change that satisfies them, keep the rest stable, renumber and validate again, and list what changed in your notes.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

