Good Learning
An AI agent skill for generating structured study plans, daily lessons, and LaTeX PDFs.
Build customized syllabi, daily lessons, mistake logs, and SVG mind maps for your study goals.
Good-learning is an AI agent skill that translates syllabi, textbooks, and past exams into structured study plans and daily lessons. It is designed for students and professionals preparing for exams who use AI agents and require rigorous output like LaTeX PDFs.
What it is
The tool structures knowledge lists and exam prep plans with source tracking, generates zero-baseline or review-mode daily lessons with step-by-step answers, and tracks mistakes from user answers. It also compiles daily review SVG mind maps and renders final outputs via XeLaTeX or LuaLaTeX into organized PDF folders.
Who it's for
It suits educators, students, and self-directed learners who utilize AI coding agents or Codex and need rigorous PDF-formatted study materials. It does not suit users looking for a standalone web app or those without Python and LaTeX environments.
Key features
Structured Study Plans
Builds knowledge lists and exam prep schedules complete with source tracking and acceptance criteria.
Daily Lesson Generation
Creates zero-baseline or review-mode daily lessons featuring examples, variations, and step-by-step answers.
Interactive Mistake Tracking
Records user errors from actual answers into a mistake log while marking simulated errors separately.
SVG Mind Map Review
Renders daily review SVG mind maps with optional PNG previews using a JSON schema input.
LaTeX PDF Compilation
Compiles lessons, lists, plans, and mistake books into clean PDFs using XeLaTeX or LuaLaTeX.
Up and running in 3 steps
Our honest verdict
What's great
- Generates structured study plans and daily lessons tailored to exam syllabi and time limits
- Tracks actual user answers to build mistake logs without corrupting mastery status with simulations
- Produces publication-ready PDFs organized in a clean directory hierarchy via XeLaTeX or LuaLaTeX
- Draws daily review mind maps as SVG files with optional PNG exports
Where it falls short
- Requires a working Python 3.10+ environment along with Pillow and XeLaTeX or LuaLaTeX installed
- Needs common LaTeX macro packages like ctex, amsmath, and tikz to compile documents
- Does not include actual textbooks, past papers, or learning materials, which you must supply
Pricing & license
Free under its MIT license, with no paid hosted options mentioned in the README. The only cost is running the Python and LaTeX environment yourself.
Open remote AI-training roles
879 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
What is required to generate the PDFs?
You need XeLaTeX or LuaLaTeX installed on your system along with common LaTeX macro packages such as ctex, amsmath, and tikz.
How does the tool handle mistakes?
It records your actual submitted answers into a mistake book while treating demonstrated errors as simulations that do not affect your real mastery status.
Are learning materials included in the repository?
No, the repository only contains the skill instructions and rendering scripts. You must provide your own syllabi, textbooks, and past papers.
