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- Skopiuj polecenie instalacji i sprawdź źródła przed instalacją we własnym środowisku agenta.
- W oryginale sprawdź wymagane narzędzia, dane dostępowe i obsługiwane środowiska.
- Opisz dane wejściowe i oczekiwany rezultat; porównaj wynik ze źródłami.
npx skills add https://github.com/evan715823/cheatsheet-generator-skill --skill cheatsheet-generatorPrzed rozpoczęciem
- Instalacja nie obejmuje subskrypcji modelu, limitu API ani uprawnień do plików.
- Gwiazdki i instalacje pokazują aktywność, a nie niezależny test jakości lub bezpieczeństwa.
Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.
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):
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>"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.
Combine text and visual information for full understanding.
- 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):
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>"Then use the Read tool on each extracted image — you can see diagrams, formulas, charts, and read text from images.
Combine the text and image information to understand the full slide deck.
- 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
- 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\[...\]
- 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_focus topics 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 images array 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>/*_pagesTell the user:
Your cheatsheet is ready at output/cheatsheet.tex. Compile with XeLaTeX in Overleaf. Good luck on your exam!
