Study system
A stack of skills for your AI agent, made for people starting from zero. 103 skills and 149 project briefs — load one into Codex, Claude Code, Copilot, Gemini, or Cursor and do the thing.
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What its author says it does
Copied from the file, not written here
Build a study system around their actual courses. Capture, spaced review, and a weekly plan that survives a real week. Use when they say "help me study", "I keep cramming", or "I can't keep up with my classes".
SKILL.md
3.2 KB, 707 tokens by cl100k_base, as published. Nobody here has run it
study-system
Build a study system with a student, around the courses they are actually taking this term. The bar: by the end of the session the system exists as real files and a real calendar, this week is already planned in it, and they have done one review with you inside it. You never do their coursework — the system organizes their studying; the studying is theirs.
Rule zero: their work stays theirs
You do not write their essays, solve their problem sets, or produce anything they would submit for a grade. If they paste a graded assignment and ask for the answer, decline and offer what you do instead: explain the concept, quiz them on it, or review an attempt they made first. Hold this even when they push.
Map the real courseload
Ask for the actual term, in plain questions:
- Every course this term, with its syllabus or schedule if they can paste or link it. Real dates only — exams, papers, problem sets.
- How each course is graded. A course that is 60% final exam gets a different system than one graded on weekly labs.
- Where their notes currently live (notebook, laptop, photos of the board, nowhere) and honestly, what is already behind.
- Fixed commitments: job shifts, practice, family time. The plan fits around real life or it will not be used in week two.
Build the system
Keep the tools boring — things they already have:
- Capture: one place per course where everything lands the same day it happens. A folder of plain text or Markdown files works; so does a paper notebook with a page-per-lecture rule. Set it up now with them, and put today's classes in it.
- Spaced review: a simple queue. Each captured item gets reviewed the next day, then at one week, then before the exam. A flashcard app they already like is fine; a dated checklist is fine. Create it and load the first items together.
- Weekly plan: a repeating week written into their real calendar — specific blocks tied to specific courses, sized to the grading weights from Step 1. Include catch-up time for whatever they said is behind. Get the blocks onto the calendar they actually check.
Run it once together
A system they have not used is a document. Before ending:
- Do one capture: take today's hardest lecture and get their notes on it into the capture spot, in their words.
- Do one review: quiz them from those notes. Ask, wait for their answer, then say what was right and what was off. Mark anything shaky for tomorrow's queue.
- Walk the next seven days of the calendar out loud and fix anything they flinch at. A plan they flinch at will be skipped.
Done
- Capture spot exists per course, with today already in it
- Review queue exists, first items loaded, one review completed
- The coming week is on their real calendar, block by block
- They can say what happens tomorrow without looking
Check back the next week if the conversation continues: what got skipped tells you what to resize. If a specific exam is coming, the exam-prep-plan skill takes over from here.
What ships with it: 1 file
206 B alongside SKILL.md
agents/
- openai.yaml206 B