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Found 902 Skills
Creates polished Marp slide decks through an interview-driven workflow. Use when the user wants to create a presentation, build slides, or make a deck. Interviews the user first (goal, audience, key points, data, constraints), then generates structured Marp Markdown with gradient section dividers, breadcrumb navigation, consistent formatting, and automatic HTML/PPTX export.
Export context report as Markdown or HTML
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format.
Fetch any URL as clean markdown. ALWAYS use this skill instead of the WebFetch tool when you need to read a URL's content — it has a 5-layer fallback (Jina Reader, defuddle.md, markdown.new, OpenCLI, raw HTML) that produces better results and handles JS-rendered pages (Twitter/X, SPAs), login-required platforms (zhihu, reddit, weibo, xiaohongshu), and complex web pages that WebFetch cannot parse. Invoke whenever the user provides a URL and wants to read, extract, summarize, analyze, or convert its content to markdown. Keywords: 'fetch page', 'read URL', 'grab content from', 'summarize article', 'extract text from webpage', '抓取网页', '读链接', '网页转 markdown'. NOT for: web search without URL, file downloads, screenshots, form filling, or accessibility checks.
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.
Use when the user needs an end-to-end article illustration workflow in this repository that preserves Type x Style planning, loads article-illustration preferences, recommends Alibaba Cloud image backends, and produces a Markdown article with inserted local image references.
Summarize Hebrew tech lectures and meetings from transcription files into structured Markdown. Use when the user asks to summarize a transcription, create meeting notes, summarize a lecture/presentation in Hebrew, or mentions סיכום/תמלול/הרצאה.
Generate professional slide deck images from content (Markdown, text, URLs). Creates outlines with style instructions, then generates individual slide images. Supports 16 visual styles, CJK/Latin mixed text, branding overlays, and PPTX/PDF export. Use when the user asks to "create slides", "make a presentation", "generate deck", "slide deck", "PPT", "做PPT", "生成幻灯片", "制作演示文稿", or wants to turn content into a visual slide deck.
Maintain JSONL-only profiler performance test cases under csrc/ops/<op>/test in ascend-kernel. Collect data using torch_npu.profiler (with fixed warmup=5 and active=5), aggregate the Total Time(us) from ASCEND_PROFILER_OUTPUT/op_statistic.csv, and output a unified Markdown comparison report (custom operator vs baseline) that includes a DType column. Do not generate perf_cases.json or *_profiler_results.json. Refer to examples/layer_norm_profiler_reference/ for the reference implementation.
Compare UX patterns across multiple reference apps using pattern libraries produced by ux-extract. Reads 2+ pattern-library.md files, walks them category by category, identifies where apps converge (strong signal), where they diverge (genuine design choice), what's unique to one app, and what's absent across the set. Produces an opinionated comparison document with recommendations for a new build. No browser needed — pure markdown analysis. Trigger with 'compare UX patterns', 'how do top apps handle X', 'ux comparison', 'pattern comparison across reference apps'.
PDF/PPTX/DOCX/XLSX/HTML/CSV/JSON/XML/ZIP/EPUB/이미지 같은 문서파일을 md로 변환할 때 사용한다. "문서 md 변환", "pdf를 markdown", "pptx를 markdown", "docx를 markdown", "문서 추출", "백업솔루션 md 변환" 요청에서 사용한다. markitdown 설치 확인, HWPX 추출 환경 설치, 단일 파일 또는 폴더 변환, 오류 로그 생성을 함께 처리한다.