1,271 件 ・ 関連度順
概要と使いどころ
把 guizang-ppt-skill 生成的 HTML 横向翻页 deck 转成 deck.pdf 和 deck.pptx，供线下演讲、加速器/评委上传、印刷等场子使用。**只要用户提到 HTML deck 转 PPT、deck 导出 PowerPoint、网页 PPT 转 pptx、HTML 转 PowerPoint、把幻灯片/演讲材料/演示文件做成离线版、需要 .pptx 上传，就用这个 skill**，即使用户没说 "guizang" 字样。产出是图片型 PPTX（每页一张 PNG 满版，视觉 100% 还原但内文不可编辑）。
日本語の概要は準備中です。原文の説明を表示しています。
분석팀 에이전트. 입찰 제안서(RFP) 또는 마케팅 제안서(마케팅 플랜) 분석. PDF 분석 또는 사용자 브리핑 수집. 프로젝트 메타데이터, Pain Point, 평가기준 배점, 프로젝트 유형을 추출합니다. 트리거: RFP 분석, 제안요청서 분석, PDF 분석, Pain Point, 평가기준, 마케팅 분석, 마케팅 플랜
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user wants to download paper PDFs by DOI(s). Triggers: "下载这个/这几个 DOI的 PDF/全文", "把这个 DOI 列表全部下下来", "批量下 dois.txt", "download paper(s) for DOI(s) …", "bulk-download from this Web of Science / WoS savedrecs export". Routes each DOI through publisher TDM APIs (Wiley/Elsevier/Springer) then OA fallbacks (OpenAlex/Crossref/Unpaywall), and — when --use-browser-fallback is set — a final Playwright pass that reuses institutional cookies for ACS/RSC/IEEE/AIP/IOP/APS/Science. DO NOT use for paper *search* (use Semantic Scholar / arXiv instead), Zotero import / metadata sync, or downloading *all references of* a single paper (use the ref-downloader skill).
日本語の概要は準備中です。原文の説明を表示しています。
Efficiently extract and convert the contents of any local file—such as PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, or HTML—into clean, well-formatted markdown saved to disk. Use this skill whenever the user requests to parse, read, or extract information from a file on their computer, including phrases like “parse this PDF”, “convert this document”, “read this file”, “extract text from”, or when a local file path (not a URL) is provided. This skill offers advanced options like generating AI-powered summaries and answering questions based on the file's content. Prefer this tool over `scrape` when handling local files to deliver precise, structured outputs for downstream tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user asks for an HTML-first visual design deliverable or design judgment: interactive prototype, slide deck, motion demo, infographic, dashboard, landing page, whitepaper, changelog, business card, social cover, brand system, design critique, multi-variant exploration, or export to MP4, GIF, PPTX, PDF, or SVG. It is optimized to make AI agents do the routing, template selection, verification, and export prep so humans spend less time prompt-engineering. Do not use for production web apps, SEO sites, backend systems, or pure copy edits.
日本語の概要は準備中です。原文の説明を表示しています。
Organize receipt images and subscription invoice/receipt PDFs for Japanese sole-proprietor or side-business bookkeeping: extract evidence, rename files, and update monthly memos. Use for 領収書, レシート, receipt, OCR, リネーム, 確定申告, 勘定科目, 経費, subscription receipts, or payment-method change history. Not for company/D365 travel expense claims.
Company expense receipt workflow. OCR, rename, sort, summarize, and prepare receipt images/PDFs/videos for D365 expense mapping and attachment. Use when sorting company expense receipts, organizing travel expense files, OCR renaming, receipt sorting, expense sorting, レシート仕分け, 出張経費バッチ, D365経費仕分け, D365経費カテゴリマッピング, or D365経費精算. Not for personal or sole-proprietor tax receipts (確定申告).
Converts LaTeX article-class .tex documents to Quarto .qmd format for multi-format publishing (HTML, PDF, Word). Use when asked to convert, port, migrate, or translate a .tex LaTeX file to Quarto; when porting an academic paper or manuscript from LaTeX to Quarto; when a .tex document needs to render to HTML, Word, or Typst PDF. Covers preamble → YAML front matter, section headings, text formatting, math, citations (natbib/biblatex), cross-references, figures, tables, lists, footnotes, hyperlinks, and special characters.
日本語の概要は準備中です。原文の説明を表示しています。
Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a NullPointer Studio styled PDF penetration test report from findings.json. Produces a professional dark-themed PDF with executive summary, risk dashboard, per-finding cards with business risk, remediation summary, and clean controls section.
日本語の概要は準備中です。原文の説明を表示しています。
手書きの図(紙・ホワイトボードの写真、スキャン、タブレットのメモ)や、別形式の図版(PNG/JPGのスクショ、PDF/SVG/EPS、PowerPoint・Keynote・draw.io・Excalidrawの図、Mermaid/Graphviz、matplotlib・Excelのグラフ、論文の図)をTikZに起こし、自分のLaTeX文書へそのまま\inputで挿入できる形(.tikz + 必要パッケージ + figure環境)で納品する。座標グリッドで読み取り、元画像との重ね合わせで検証し、文書のプリアンブルへ不足分だけ追記する。「この図をTikZにして」「手書きをtikzで清書」「図をLaTeXで描き直して」「この画像をtikzに起こして論文に入れたい」「pgfplotsで再現」などで使う。
Render Markdown, HTML, or PDF paid-advertising reports from a validated Claude Ads JSON run bundle. Use for ads report, client report, audit PDF, executive audience reporting, or exporting prior audit and plan results.
日本語の概要は準備中です。原文の説明を表示しています。
Turn an academic paper (PDF, LaTeX, pasted text, thesis chapter or technical disclosure) into a Chinese invention patent application draft — 说明书摘要、摘要附图、权利要求书、说明书、说明书附图 — delivered as DOCX/PDF with black-and-white patent drawings, plus a separate drafting-notes file covering novelty/disclosure risk, claim layout and claim-to-paper support. Use whenever the user wants to 论文转专利, 写专利/专利申请书/专利交底书, draft or review 权利要求书, write a 说明书, make 专利附图, or check a patent draft against its source paper, even if they only say "帮我把这篇论文写成专利".
日本語の概要は準備中です。原文の説明を表示しています。
Use when 用户想根据论文、科研文档、研究文本、图注、开题/答辩材料或具备读图条件的参考图生成可复制的 AI 科研绘图提示词；触发场景包括论文配图、科研绘图、图形摘要、Graphical Abstract、机制图、技术路线图、实验装置图、模型架构图、多面板对比图、汇报总览图、参考图风格迁移、未知领域母版生成，或上传/引用 PDF、Word、LaTeX、Markdown、摘要、方法段、图注、课题说明、研究方案、参考图片。Also use when the user asks for scientific figure prompts, research illustration prompts, graphical abstract prompts, mechanism diagrams, technical roadmaps, experimental setup diagrams, model architecture diagrams, multi-panel scientific figures, paper/conference figures, or AI image prompts based on papers, research documents, abstracts, methods sections, figure captions, proposals, reference images, PDFs, Word docs, LaTeX files, Markdown files, or research plans.
日本語の概要は準備中です。原文の説明を表示しています。
Reconstruct editable LaTeX from PDF content using page-aware extraction and visual comparison. Preserve source evidence, flag uncertain math/tables/citations, and distinguish text extraction, OCR, reconstruction, and verified compilation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing or validating the end-to-end quote-to-cash process on standard Salesforce: Opportunity to Quote to Synced Quote to Approval Process to Quote PDF to Order creation. Trigger keywords: quote approval, discount policy, quote PDF limits, order from quote, quote sync, quote template. NOT for CPQ pricing rules or discount schedules — use admin/cpq-pricing-rules. NOT for building the quote template itself — use admin/quotes-and-quote-templates.
日本語の概要は準備中です。原文の説明を表示しています。
Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format without adding dependencies to the consumer's project. NOT for an Agentforce action's output — use agentforce/agent-actions. NOT for exporting Salesforce data — use integration/bulk-api-2-patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Add a short, project-specific rule, convention, or override to .unikit/RULES.md — the quick-capture inbox for this project's rules (common rules always load; topic files in .unikit/rules/ load when the work matches), automatically loaded by /unikit-implement (later promotable via /unikit-memory migrate-rules). Works only with a rule typed as a prompt — it does NOT read files, folders, URLs, or PDFs. Cross-checks against the knowledge base (RULES_INDEX.md) to avoid duplicating core/stack entries. Use for fast, one-line conventions and corrections: "add a rule", "remember this", "convention", "always do X", "never use Y", "from now on do Z", or when the user corrects agent behavior and wants it remembered; also "split the rules into topics" (optimise), "clean up the rules" (prune), "shorten RULES.md" (compact). If the user points to a source (file, folder, URL, PDF, article, book) or wants to research/document framework usage, use /unikit-memory; for architecture decisions use ARCHITECTURE.md.
日本語の概要は準備中です。原文の説明を表示しています。
Professional LaTeX writing assistant. Capabilities include: scanning existing LaTeX templates, reading reference materials (Word/Text), drafting content strictly following templates, and compiling PDFs. Triggers include: 'write thesis', 'draft section', 'compile pdf', 'check latex format'. Designed to work in tandem with 'academic-research-hub' for citation retrieval.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Api2pdf tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
民事案件卷宗归档助手 V3。用户提出归档案件、先归档现有材料、完卷、补齐材料、生成归档表格或合并卷宗 PDF 时使用。按律所配置分类材料、提取字段、可靠填写 Word 表格、生成缺失清单；合并 PDF 必须先取得用户确认。
日本語の概要は準備中です。原文の説明を表示しています。
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Api2pdf tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。