exam-prep
Skill2 starsChanged 57 days agoMITView on GitHub
Use when planning an exam-prep sprint from Mastery-Log.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- Noam-Marom/academic-studentstheir own version, first seen Nov 8, 2026
- PeanutGT/NutsSkillstheir own version, first seen Nov 1, 2026
- liknenS/language-learning-skillstheir own version, first seen Oct 25, 2026
- MichaelPrutkow/anki-for-claudetheir own version, first seen Oct 17, 2026
- Slava-code/college-kbtheir own version, first seen Oct 15, 2026
- MichaelPrutkow/anki-mcp-servertheir own version, first seen Oct 13, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- IssacW228/student-llm-wiki★ 173same name
- Noam-Marom/academic-students★ 7same name
- Candlest/exam-prep-skill★ 4same name
- MichaelPrutkow/anki-for-claude★ 3same name
- MichaelPrutkow/anki-mcp-server★ 3same name
- PeanutGT/NutsSkills★ 3same name
- Aysuda-j/claude-skills★ 1same name
- liknenS/language-learning-skills★ 0same name
- Slava-code/college-kb★ 0same 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 repository16 other files it gives its agents.
- canvas-course-syncSkill
- categorizerSkill
- course-knowledge-baseSkill
- course-study-sessionSkill
- email-draftingSkill
- grade-calculatorSkill
- homework-checklistSkill
- meetings-and-clubsSkill
- note-formatting-rulesSkill
- photos-to-pdfSkill
- roadmapSkill
- school-advisorSkill
- study-notes-workflowSkill
- suite-updateSkill
- verification-before-completionSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
1
Distinctive
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
- Very specific: line 18
Track: after every drill session update Mastery-Log (topic | status | date).
- Distinctive: line 22
Don't plan more hours than exist — respect the Roadmap's load tags.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Exam Prep Sprint
Turn Mastery-Log + Question-Bank + the Roadmap into a focused, load-balanced sprint for one exam. Reuses existing systems; nothing new to invent.
Inputs
- Course + exam date (from the user or COURSE-BRAIN key dates)
<Course>/Notes/Mastery-Log.md(statuses) ·<Course>/Notes/Question-Bank.md(drill material) ·Roadmap.md(available load)
Procedure
- Rank weak topics: 🔴 first, then stale 🟡 (untouched ~3 weeks). Sort by: foundational weight (a broken prerequisite cascades — fix it first), past-exam point value if known, confidence decay (older 🔴 > newer).
- Build the sprint: a 3 / 7 / 10-day plan (pick by time-to-exam), day-by-day targets, each with a time estimate and a "drill this" pointer into Question-Bank, practice sets, or Key Points.
- Auto-add as Roadmap study blocks in the sprint window, load-balanced (🔴 topics get heavier blocks, never stacked onto an already-🔴 day).
- Track: after every drill session update Mastery-Log (
topic | status | date). - Post-exam feedback: user reports the score + which topics appeared → write ground truth into Mastery-Log so the next exam's ranking learns.
Pitfalls
- Don't plan more hours than exist — respect the Roadmap's load tags.
- Refresh Mastery-Log the same day you build the sprint; stale statuses mis-prioritize.
- One sprint per exam; re-run only when new weak topics appear.
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.

