cheatsheet
Skill53 starsChanged 5 months agoMITView on GitHub
Generate a high-density A4 cheat sheet for open-book exams. Two output paths: LaTeX (XeLaTeX) or self-contained HTML with CSS print layout. Both paths produce visually consistent results.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- malhotramanik/claude-skillstheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- malhotramanik/claude-skills★ 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 repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- llmwiki/AGENTS.mdAGENTS.md
- vision-support/AGENTS.mdAGENTS.md
- look-tongji-notesSkill
- addSkill
- listSkill
- noteSkill
- pageSkill
- ralphtransSkill
- setupSkill
- transSkill
- wikiSkill
- vision-supportSkill
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 17
After lecture notes have been written for relevant sessions.
- Very specific: line 42
Read <SKILL_DIR>/../../.mock-wiki/CheatingSheetTemplate/README.md for the generation prompt and typographic specification.
≈ “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
Cheatsheet
Generate exam cheat sheets from course lecture notes.
When to Use
- User says
/cheatsheetor asks for an exam cheat sheet. - After lecture notes have been written for relevant sessions.
Workflow
- Check environment:
python "<SKILL_DIR>/../../scripts/look_tongji.py" cheatsheet --format html- The agent reads course notes and produces content organized into sections.
- Two output paths:
Path A — LaTeX (XeLaTeX available)
Uses <SKILL_DIR>/../../.mock-wiki/CheatingSheetTemplate/CheatingSheet.tex.
- 4 columns, 5pt body, A4 paper
- Compile:
xelatex -interaction=nonstopmode cheatsheet.tex
Path B — HTML (no XeLaTeX)
Self-contained HTML with CSS print layout.
- Same 4-column, 5pt typography
- Print to A4 PDF from browser
Prompt Template
Read <SKILL_DIR>/../../.mock-wiki/CheatingSheetTemplate/README.md for the generation prompt and typographic specification.
Where <SKILL_DIR> Points
<SKILL_DIR> is the directory containing this SKILL.md. Shared scripts (look_tongji.py, timeline_tools.py, tongji_backend/) and references live two levels up in the repository root (<SKILL_DIR>/../../scripts/ and <SKILL_DIR>/../../references/).
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.

