Skill 디렉토리

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작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: equations

영문 디렉토리

A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.

324
Stars
77/100
신뢰
카테고리: presentation감사

pix2tex: Using a ViT to convert images of equations into LaTeX code.

16K
Stars
74/100
신뢰
카테고리: document-processing감사

AI agent skill to generate editable PowerPoint presentations from papers, code, or documents using Codex or Claude Code.

379
Stars
72/100
신뢰
카테고리: presentation감사

Convert images of LaTex math equations into LaTex code.

2.2K
Stars
70/100
신뢰
카테고리: robotics-iot감사

Python package for solving partial differential equations using finite differences.

463
Stars
70/100
신뢰
카테고리: geo-science감사

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

1.2K
Stars
71/100
신뢰
카테고리: media-automation감사

Revise Chinese or English academic writing for lower unnecessary textual overlap while preserving meaning, evidence, numbers, equations, terminology, and citations. Use for 学术论文降重、查重后修改、重复段落重写、paraphrasing, similarity-report remediation, abstracts, literature reviews, methods, results, discussions, theses, and manuscripts in DOCX, Markdown, or plain text. Do not use to disguise plagiarism, fabricate sources, or evade academic-integrity review.

82
Stars
61/100
신뢰
카테고리: research감사

Code for the paper "Learning Differential Equations that are Easy to Solve"

289
Stars
60/100
신뢰
카테고리: ml-automation감사

A comprehensive list of document parsers, covering PDF-to-text conversion and layout extraction. Each tested for support of tables, equations, handwriting, two-column layouts, and multi-column layouts.

178
Stars
60/100
신뢰
카테고리: document-processing감사

Convert born-digital, scanned, or mixed PDFs into auditable Markdown while preserving reading order, equations, source-page anchors, and information-bearing images as adjacent non-original text descriptions. Use this skill whenever a user asks to transcribe, OCR, understand, or convert a PDF into Markdown, especially for scanned PDFs, image-heavy pages, formulas, multi-column layouts, page or section ranges, or token-efficient reuse. LT2MD (Long Transcribe to Markdown) is a workflow contract, not a replacement for a PDF parser or OCR/VLM backend.

33
Stars
59/100
신뢰
카테고리: security감사