「content」の検索結果

Comprehensive SEO analysis for any website, page, business, or topic. Full site audits, SEO checks, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, GEO for AI Overviews/ChatGPT/Perplexity, and SEO best-practice planning. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, full SEO check, SEO best practices, optimize my site, ranking, organic search, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed, structured data.

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。

Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".

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。

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' or 'zero-click search.' This skill covers content optimization for AI answer engines, monitoring AI visibility, and getting cited as a source. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.

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。

WebKit integration in SwiftUI using WebView and WebPage for embedding web content, navigation, JavaScript interop, and customization. Use when embedding web content in SwiftUI apps.

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。

Build and engage a user community around your indie app. Covers platform selection, building in public strategy, content calendars for solo developers, and converting community members into advocates. Use when user wants to grow social media presence, start building in public, or create a content strategy.

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。

Generates Core Spotlight indexing infrastructure for making app content searchable via system Spotlight with rich attributes and deep link integration. Use when user wants to index content for Spotlight search, Siri suggestions, or system-wide searchability.

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。

Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific posters, formal letters, exams/quizzes, books, cheat sheets, reference cards, exam formula sheets, fillable PDF forms (hyperref form fields), conditional content (etoolbox toggles), mail merge from CSV/JSON (Jinja2 templates), version diffing (latexdiff), charts (pgfplots + matplotlib), tables (booktabs + CSV import), images (TikZ), Mermaid diagrams, AI-generated images, watermarks, landscape pages, bibliography/citations (BibTeX/biblatex), multi-language/CJK (auto XeLaTeX), algorithms/pseudocode, colored boxes (tcolorbox), SI units (siunitx), Pandoc format conversion (Markdown/DOCX/HTML ↔ LaTeX), and PDF-to-LaTeX conversion of handwritten or printed documents (math, business, legal, general). Compile script supports pdflatex, xelatex, lualatex with auto-detection, latexmk backend, texfot log filtering, PDF/A output, and verbosity control (--verbose/--quiet). Empirically optimized scaling: single agent 1-10 pages, split 11-20, batch-7 pipeline 21+. Use when user asks to: (1) create a resume/CV/cover letter, (2) write a LaTeX document, (3) create PDF with tables/charts/images, (4) compile a .tex file, (5) make a report/invoice/presentation, (6) anything involving LaTeX or pdflatex, (7) convert/OCR a PDF to LaTeX, (8) convert handwritten notes, (9) create charts/graphs/diagrams, (10) create slides, (11) write a thesis or dissertation, (12) create an academic CV, (13) create a poster, (14) create an exam/quiz, (15) create a book, (16) convert between document formats (Markdown, DOCX, HTML to/from LaTeX), (17) generate Mermaid diagrams for LaTeX, (18) create a formal business letter, (19) create a cheat sheet or reference card, (20) create an exam formula sheet or crib sheet, (21) condense lecture notes/PDFs into a cheat sheet, (22) create a fillable PDF form with text fields/checkboxes/dropdowns, (23) create a document with conditional content/toggles (show/hide sections), (24) generate batch/mail-merge documents from CSV/JSON data, (25) create a version diff PDF (latexdiff) highlighting changes between documents, (26) create a homework or assignment submission with problems and solutions, (27) create a lab report with data tables, graphs, and error analysis, (28) encrypt or password-protect a PDF, (29) merge multiple PDFs into one, (30) optimize/compress a PDF for web or email, (31) lint or check a LaTeX document for common issues, (32) count words in a LaTeX document, (33) analyze document statistics (figures, tables, citations), (34) fetch BibTeX from a DOI, (35) convert a Graphviz .dot file to PDF/PNG, (36) convert a PlantUML .puml file to PDF/PNG, (37) create a one-pager/fact sheet/executive summary, (38) create a datasheet or product specification sheet, (39) extract pages from a PDF (page ranges, odd/even), (40) check LaTeX package availability before compiling, (41) analyze citations and cross-reference with .bib files, (42) debug LaTeX compilation errors, (43) make a document accessible (PDF/A, tagged PDF), (44) create lecture notes or course handouts, (45) fill an existing PDF form (fillable fields or non-fillable with annotations), (46) extract text or tables from a PDF (pdfplumber, pypdf), (47) OCR a scanned PDF to text (pytesseract), (48) create a PDF programmatically with reportlab (Canvas, Platypus), (49) rotate or crop PDF pages (pypdf), (50) add a watermark to an existing PDF, (51) extract metadata from a PDF (title, author, subject).

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。

Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, RAG, Azure AI Search, MCP tools, or multi-agent routing, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Content Safety in Foundry Control Plane (use azure-content-safety), Azure Speech in Foundry Tools (use azure-speech).

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。

Expert knowledge for Azure Speech in Foundry Tools development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom voice or avatars, Speech containers, Voice Live, or telephony/WebRTC streaming, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure AI Vision (use azure-ai-vision), Azure AI Video Indexer (use azure-video-indexer), Azure Translator (use azure-translator).

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。

Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including best practices, decision making, configuration, and integrations & coding patterns. Use when compiling HF models with Olive, using Foundry Local CLI, embeddings/chat/audio APIs, or OpenAI-style integrations, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Azure Local (use azure-local), Azure Content Understanding in Foundry Tools (use azure-content-understanding).

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。

Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.

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。

Analyze Google search results (SERP) for any keyword. Use when the user says "analyze the SERP", "what ranks for", "SERP analysis", "competitive analysis for keyword", "content brief", "what's ranking", "search results for", "who ranks for", or asks about ranking content patterns for a keyword.

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。

Send messages, images, and marketing content to Telegram channels and groups via Bot API. Create formatted posts, polls, and media content for Telegram communities. Trigger phrases: "post to telegram", "telegram message", "telegram channel", "telegram bot", "telegram marketing", "send to telegram", "telegram announcement", "telegram broadcast".

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 full SEO-optimized blog post. Use when the user says "write a blog post", "blog article", "write about", "create content for", "SEO article", "blog content", "write a post about", or provides a keyword and asks for a written article.

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。

Manage HubSpot CRM contacts, companies, deals, and CMS content via API. Use when the user says "add contact to HubSpot", "create deal", "search CRM", "HubSpot contacts", "update deal stage", "CRM report", "HubSpot pages", or asks about managing their sales pipeline, CRM data, or HubSpot content.

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。

Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: "create original data", "proprietary data", "survey design", "benchmark study", "original research", "data-driven content", "create a survey", "industry benchmark", "aggregated data", "unique data", "first-party data", "data moat", "generate research data", "create a study", "original statistics", "data nobody else has", "competitive data advantage".

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。

Write X/Twitter threads that get bookmarked, shared, and drive affiliate clicks. Use this skill when the user asks about writing Twitter threads, X threads, tweet threads for affiliate marketing, or says "write a thread about X", "Twitter thread promoting X", "X thread for affiliate", "write tweets that go viral", "thread that sells without selling", "educational thread with affiliate CTA", "Twitter content for affiliate marketing", "how to promote X on Twitter", "write a thread my audience will bookmark", "tweet storm about affiliate product".

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 the full QuarkPanTool → mswnlz GitHub content publishing pipeline. Supports Quark / Baidu / Aliyun drives with multi-account rotation. Use when the user provides share URLs and wants: (1) auto-detect drive type and route to correct handler, (2) save resources with automatic account rotation, (3) clean junk files from shared folders, (4) copy promotional files into each folder, (5) generate permanent encrypted share links, (6) auto-classify items into local content dirs (book/movies/AIknowledge/tools/etc.), (7) append/update YYYYMM.md and README index, (8) local git commit, (9) send unified Telegram notifications to multiple groups, (10) rebuild site and deploy to Cloudflare Pages.

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 high-potential viral title candidates for content across WeChat public account articles, X/Twitter posts, YouTube videos, Bilibili videos, and similar content platforms. Use when the user needs headline/title ideation, batch title generation, platform-specific title adaptation, title-library reuse, title selection, title scoring, or a reusable title workflow based on universal formulas plus separated platform methods such as 公众号, X, YouTube, and B站.

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。

Drive a live browser on a scraped page: click, fill forms, log in, paginate, infinite-scroll. Use when content requires interaction or a scrape failed or returned incomplete content.

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。

Dung khi leader phai DUYET output CHU cua team truoc khi trien khai — content brief co dung insight va dung pillar khong, CTA co ro khong; ads copy va creative co proof cho claim khong, dung tone khong, hook co nam trong 125 ky tu dau khong; verdict Approve / Revise / Redo kem feedback cu the. Kich hoat khi user nhac 'duyet brief', 'review ads copy', 'duyet content', 'check truoc khi chay', 'bai nay dang duoc chua', 'em viet the nay sep xem giup', 'duyet output team'. Khong dung cho — cham diem THIET KE va hinh anh thi dung skill 47-design-review; danh gia nang luc nguoi lam thi dung skill 65-team-performance-review; can nhieu goc nhin phan bien cho mot huong chien luoc thi dung skill 72-hoi-dong-marketing.

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。

Dung khi mot CA NHAN — founder, coach, creator — can chien luoc thuong hieu ca nhan 12 thang: chon niche, positioning statement ca nhan, story arc 3 chuong, 4 content pillar, thang authority 5 nac va lo trinh tang truong theo quy. Doc file context tu skill 22 truoc khi viet. Kich hoat khi user nhac 'chien luoc personal brand', 'dinh vi ca nhan', 'chon niche', 'content pillar ca nhan', 'story arc', 'founder positioning', 'toi nen noi ve chu de gi', 'xay hinh anh chuyen gia'. Khong dung cho — dinh vi cho DOANH NGHIEP hay san pham thi dung skill 58-positioning; ke hoach marketing cong ty thi dung skill 00-ke-hoach-mkt; tao file context ca nhan lan dau thi chay skill 22-personal-brand-context truoc.

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 a PERSONAL brand needs long-form WRITTEN content that builds authority rather than sells — LinkedIn posts, X threads, Substack and Medium essays, using PAS-Insight for founders, Story-Lesson-CTA for coaches, and Hook-List-Reveal for creators, with six hook formulas and a 1-to-5 repurpose. Trigger on 'LinkedIn post', 'thought leadership', 'write a Twitter thread', 'newsletter essay', 'Substack post', 'I want to be known for this topic'. Also use when the user has an opinion and wants it turned into a post. Not for — company brand captions, see `37-social-caption-global`; paid ad copy, see `05-ad-copy-global`; short video scripts, see `04-script-video-global`.

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。

Dung khi can chot giong noi thuong hieu mot lan de moi output content ve sau nhat quan — personality 3 tinh tu, bang tone, tu duoc dung va tu cam, cau truc cau, va 5 vi du before/after. Kich hoat khi user nhac 'brand voice', 'giong brand', 'tone of voice', 'viet sao cho dung chat brand', 'moi nguoi viet moi kieu', 'thong nhat giong van'. Khong dung cho — quy dinh mau sac va font thi dung skill 46-brand-guideline; dinh vi thuong hieu thi dung skill 58-positioning; viet mot bai cu the thi dung skill 36-content-brief.

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。