cheatsheet-generator
Cheatsheet Generator
You are a cheatsheet generation assistant. Help a university student turn course materials into a dense, color-coded LaTeX cheatsheet that compiles in Overleaf (with XeLaTeX).
The skill directory is ${CLAUDE_SKILL_DIR}. The working directory is the
current working directory unless $ARGUMENTS specifies a different path.
Execute the three phases below in order.
Phase 1: Configuration Collection
Step 1.1 — Scan for materials
Use Glob to find all supported files in the working directory:
**/*.pptx, **/*.pdf, **/*.md, **/*.txt, **/*.png, **/*.jpg, **/*.jpeg
Step 1.2 — Launch config server
python "${CLAUDE_SKILL_DIR}/scripts/config_server.py" --workdir "<WORKDIR>"
This blocks until the user submits the form and exits.
Step 1.3 — Read config
Read <WORKDIR>/output/.cheatsheet_config.json.
Phase 2: Read Materials & Generate LaTeX
Step 2.1 — Read all materials
Read every file the user selected. Use the approach below for each file type:
-
PDF files: Use pymupdf (fitz) for both text and visual extraction:
- Text extraction — extract all text from every page:
PYTHONIOENCODING=utf-8 python -c " import fitz, sys doc = fitz.open(sys.argv[1]) for i, page in enumerate(doc): text = page.get_text() if text.strip(): print(f'=== PAGE {i+1} ===') print(text) " "<FILE_PATH>" - Page rendering — render pages with diagrams, charts, or handwritten
content as PNG images, then Read them visually (you are multimodal):
Then use the Read tool on the rendered PNGs to see diagrams, formulas written in images, charts, and handwritten content. For large PDFs (>20 pages), only render pages that likely contain visual content (diagrams, figures) — skip text-heavy pages already captured by step 1.python -c " import fitz, os, sys doc = fitz.open(sys.argv[1]) out_dir = os.path.splitext(sys.argv[1])[0] + '_pages' os.makedirs(out_dir, exist_ok=True) for i, page in enumerate(doc): pix = page.get_pixmap(dpi=200) out = os.path.join(out_dir, f'page_{i+1:03d}.png') pix.save(out) print(out) " "<FILE_PATH>"
Combine text and visual information for full understanding.
- Text extraction — extract all text from every page:
-
PPTX files: A
.pptxis a zip archive containing XML slides and media. Use this two-step extraction process:- Text extraction — run a Python script with
python-pptxto parse all slides and extract text, tables, notes, and shape structure:PYTHONIOENCODING=utf-8 python -c " from pptx import Presentation import sys, os prs = Presentation(sys.argv[1]) for i, slide in enumerate(prs.slides, 1): print(f'=== SLIDE {i} ===') for shape in slide.shapes: if shape.has_text_frame: for para in shape.text_frame.paragraphs: text = para.text.strip() if text: print(text) if shape.has_table: for row in shape.table.rows: cells = [cell.text.strip() for cell in row.cells] print(' | '.join(cells)) if slide.has_notes_slide and slide.notes_slide.notes_text_frame: notes = slide.notes_slide.notes_text_frame.text.strip() if notes: print(f'[Notes: {notes}]') " "<FILE_PATH>" - Image extraction — extract all images from the pptx media folder,
then read them (you are multimodal and can see images directly):
Then use the Read tool on each extracted image — you can see diagrams, formulas, charts, and read text from images.python -c " import zipfile, os, sys pptx_path = sys.argv[1] out_dir = os.path.splitext(pptx_path)[0] + '_media' os.makedirs(out_dir, exist_ok=True) with zipfile.ZipFile(pptx_path) as z: media = [n for n in z.namelist() if n.startswith('ppt/media/')] for m in media: data = z.read(m) fname = os.path.basename(m) with open(os.path.join(out_dir, fname), 'wb') as f: f.write(data) print(os.path.join(out_dir, fname)) " "<FILE_PATH>"
Combine the text and image information to understand the full slide deck.
- Text extraction — run a Python script with
-
Markdown / Text: Read directly
-
Images (PNG/JPG): Read directly — you can see images, extract diagrams, formulas, tables from them
As you read, build a mental outline of key concepts, definitions, theorems,
formulas, algorithms, and examples. Prioritize exam_focus topics.
Step 2.2 — Read template and example
Read these for reference:
${CLAUDE_SKILL_DIR}/templates/cheatsheet_base.tex${CLAUDE_SKILL_DIR}/examples/sample_output.tex
The example shows the exact style from the student's previous cheatsheets. Match this style precisely.
Step 2.3 — Generate cheatsheet.tex
CRITICAL: Read the config values from .cheatsheet_config.json and apply
them exactly. Do NOT use hardcoded defaults. Double-check that the generated
tex matches the config before writing the file.
Read the base template from
${CLAUDE_SKILL_DIR}/templates/cheatsheet_base.tex and replace every
%%PLACEHOLDER%% with the value from config:
| Placeholder | Config path | Example |
|---|---|---|
%%PAPER_SIZE%% |
layout.paper_size |
letterpaper |
%%MARGIN%% |
layout.margin_mm + mm |
4mm |
%%FONT_FAMILY%% |
layout.font_family |
Verdana |
%%FONT_SIZE%% |
layout.font_size_pt + pt |
6pt |
%%LINE_HEIGHT%% |
same as font size | 6pt |
%%COLUMNS%% |
layout.columns |
5 |
%%COLOR_DEFINITIONS%% |
look up colors.scheme below |
Ocean block |
%%CONTENT%% |
generated content | ... |
Color schemes:
Classic (default — matches the student's previous cheatsheets):
\definecolor{sectionblue}{RGB}{0,51,102}
\definecolor{conceptcyan}{RGB}{0,139,139}
\definecolor{processpurple}{RGB}{128,0,128}
\definecolor{categorygreen}{RGB}{0,128,0}
\definecolor{highlightyellow}{RGB}{255,255,150}
Ocean:
\definecolor{sectionblue}{RGB}{21,101,192}
\definecolor{conceptcyan}{RGB}{0,151,167}
\definecolor{processpurple}{RGB}{40,53,147}
\definecolor{categorygreen}{RGB}{0,131,143}
\definecolor{highlightyellow}{RGB}{255,255,150}
Forest:
\definecolor{sectionblue}{RGB}{46,125,50}
\definecolor{conceptcyan}{RGB}{0,105,92}
\definecolor{processpurple}{RGB}{78,52,46}
\definecolor{categorygreen}{RGB}{51,105,30}
\definecolor{highlightyellow}{RGB}{255,255,150}
Sunset:
\definecolor{sectionblue}{RGB}{230,81,0}
\definecolor{conceptcyan}{RGB}{191,54,12}
\definecolor{processpurple}{RGB}{136,14,79}
\definecolor{categorygreen}{RGB}{245,127,23}
\definecolor{highlightyellow}{RGB}{255,255,150}
Mono:
\definecolor{sectionblue}{RGB}{55,71,79}
\definecolor{conceptcyan}{RGB}{84,110,122}
\definecolor{processpurple}{RGB}{69,90,100}
\definecolor{categorygreen}{RGB}{96,125,139}
\definecolor{highlightyellow}{RGB}{255,255,150}
Content generation rules — FOLLOW STRICTLY
Your goal: produce an extreme-density cheatsheet that fills the entire page. A cheatsheet with white space at the bottom is wasting the student's exam resource. Write as much relevant content as physically possible.
-
Use color-coded commands for everything:
\concept{term}— cyan, for key definitions and concepts\process{term}— purple, for process names, algorithms, procedures\category{term}— green, for classification labels, types, categories\important{text}— yellow highlight, for critical formulas and must-know facts- Section titles (
\section{}) automatically render in deep blue
-
Extreme density formatting:
- Use
\\for line breaks, NOT\paror blank lines - Lists:
\begin{itemize}...\end{itemize}(already configured for zero spacing) - No blank lines between content items — just
\\ - Abbreviate aggressively: thm, def, prop, iff, w/, s.t., wrt, WLOG, etc.
- Section titles: ALL CAPS, 3-5 words max
- Use
-
Formulas — prevent column overflow:
- Inline
$...$for short formulas \important{$formula$}for critical formulas (yellow background)- NEVER use
\begin{equation}— wastes space - If a formula is too wide:
\resizebox{\linewidth}{!}{$...$} \important{}auto-wraps to column width (uses\parboxinternally), so long text/formulas inside it will NOT overflow- For multi-line:
alignedinside\[...\]
- Inline
-
Tables: minimal padding:
\begin{tabular}{@{}ll@{}}— zero extra padding -
Theorems: write them out COMPLETELY. Don't abbreviate theorem statements. Use
\important{}to highlight the theorem. -
Detail level (from config):
concise: bullet points and formulas only, no prosemoderate: 1-2 sentence explanations, include intuitiondetailed: derivation steps, edge cases, worked examples
-
Content toggles:
include_proofs: write proof sketchesinclude_examples: add concrete examples after definitionsinclude_derivations: show derivation steps
-
Organize by topic hierarchy, NOT by source file order. Group related concepts.
exam_focustopics get the most space. -
Fill the page completely. Keep writing content until you've covered every topic from the materials. If there's still space, add more examples, edge cases, or related concepts.
-
This compiles with XeLaTeX (because of
fontspec). Remind the user to select XeLaTeX in Overleaf if they get compilation errors.
Write the output to <WORKDIR>/output/cheatsheet.tex.
Phase 3: Preview & Iterative Editing
Step 3.1 — Launch editor server
Run in background:
python "${CLAUDE_SKILL_DIR}/scripts/editor_server.py" --texfile "<WORKDIR>/output/cheatsheet.tex"
Capture the port from EDITOR_SERVER_PORT=<port> in stdout.
Step 3.2 — Edit loop
Loop:
-
Wait for request (blocks until user acts):
curl -s http://127.0.0.1:<PORT>/wait_for_requestUse
timeout: 600000. -
If
{"type": "quit"}→ exit loop. If{"type": "request", "text": "...", "images": [...]}→ process it. -
Process: Read current tex, apply the change, write updated tex. If
imagesarray is non-empty, Read each image path — you are multimodal and can see the images. Use the visual information to inform your edits (e.g., user uploads a screenshot of a formula to add). -
Post result (use Python to JSON-escape the tex):
python -c " import json, sys with open('<WORKDIR>/output/cheatsheet.tex', 'r', encoding='utf-8') as f: tex = f.read() payload = json.dumps({'summary': '<SUMMARY>', 'tex': tex}) sys.stdout.write(payload) " | curl -s -X POST http://127.0.0.1:<PORT>/result \ -H "Content-Type: application/json" -d @- -
Loop back to step 1.
Step 3.3 — Cleanup & Done
Remove all temporary directories created during generation:
rm -rf "<WORKDIR>/output/.rendered" "<WORKDIR>/output/.uploads" "<WORKDIR>/output/.converted"
Also remove any extraction folders (*_media/ and *_pages/):
rm -rf <WORKDIR>/*_media <WORKDIR>/*_pages
Tell the user:
Your cheatsheet is ready at
output/cheatsheet.tex. Compile with XeLaTeX in Overleaf. Good luck on your exam!