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概要と使いどころ
Comprehensive domain analysis combining WHOIS ownership, DNS infrastructure, SSL security, SEO performance, tech stack, site structure, and backlink profile. One-stop domain intelligence for acquisition research, security assessment, and competitive analysis.
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。
Research and write evidence-backed listicles, product roundups, and best-of comparisons with optional SandBase SERP, page, review, and screenshot evidence. Use for ‘best tools’, ‘top products’, roundup, SEO, GEO, or answer-engine content; do not use for an unresearched promotional ranking presented as independent advice.
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 competitor content coverage and uncover differentiated content opportunities using web search, page extraction, and DataForSEO content analysis. Use when asked for competitor content research, editorial gap analysis, content brief inputs, or topic whitespace.
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。
Find and prioritize ethical backlink and digital-PR opportunities using SandBase DataForSEO backlink data. Use when asked to analyze backlink profiles, find referring-domain gaps, compare link competitors, or prepare a link-outreach target list.
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。
Complete marketing pipeline for apps, dev tools, libraries, and SaaS products in 2026. Generates positioning, listing/ASO/package-SEO assets, press kit, launch plan, social calendar, email sequences, growth/referral strategy, paid playbook, retention, and community plan. Adapts automatically to app vs dev-tool vs SaaS. Trigger on: marketing, launch plan, app launch, go-to-market, ASO, press kit, product hunt launch, hacker news launch, dev tool marketing, growth strategy, launch checklist, marketing plan, distribution plan.
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。
Apex - Senior Product Marketing Manager & CSO specializing in B2B/B2C IT Products & SaaS. Use for Go-To-Market strategies, product positioning, growth funnels, IT product copywriting, SEO content strategy, or marketing analytics. Also responds to 'Apex' or /apex command.
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。
Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.
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 MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
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。
Validate that analytics and marketing tracking fire CORRECTLY: GA4/GTM dataLayer events, Meta/TikTok/LinkedIn pixels, and ad-tech tags. Covers building a tracking plan as the contract, intercepting collect-endpoint beacons and dataLayer.push in Playwright, asserting event name + params + values + timing + de-duplication, Consent Mode v2 gating, CI regression gating, and news-media events (article-view, scroll-depth, paywall). Use when: "test analytics tracking," "GA4 event test," "verify the pixel fires," "dataLayer test," "tracking plan," "Meta Pixel dedup," "scroll-depth tracking test," "gate tracking in CI." Not for: whether tracking is ALLOWED to fire under consent law (GDPR/CMP) — that is compliance-testing; this skill checks the data is CORRECT. SEO meta tags / structured data — out of scope. Related: compliance-testing, playwright-automation, api-testing, qa-project-context.
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。
Plans, researches and writes comparison pages: "[rival] alternatives", "[product] vs [rival]", "[rival A] vs [rival B]" and switching guides. Builds each page from a ledger of sourced, dated facts and ends with an honest verdict on who should choose which product. Use when someone asks for an "alternative page", a "vs page", a "competitor comparison", "comparison landing pages", "why us instead of them", or wants existing comparison pages checked for outdated prices and claims that cannot be backed up.
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。
Builds a content strategy a small team can execute: audience needs backed by counted evidence, an audit of what is already published, a topic map with one page per search intent, a scored backlog, a 90-day calendar sized to real capacity, and the numbers that will show whether it worked. Use when someone asks "what should we write about", "plan our blog", "content strategy", "content plan for next quarter", "topic clusters", "content audit", "our blog traffic is falling", or wants a pile of content ideas turned into a prioritised plan.
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。
Detect AI-generated text using rule-based analysis, LLM-as-judge scoring, and optional external APIs. Use when: auditing content for AI authorship, academic integrity checks, editorial review, SEO content audits.
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, audit, or update GitHub READMEs with project-type-aware structure, voice calibration, and SEO/AEO discoverability guidance. Three modes: generate (new), audit (check existing), update (patch). Detects repo type and adapts sections, tone, and badges accordingly.
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。
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
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。
文案撰寫全套工作流：分析受眾語調、套用說服公式（AIDA/PAS/FAB）、產出部落格/Email/Landing Page/社群文案，並提供 SEO 優化建議。適合在撰寫行銷文案、內容行銷、或需要匹配特定品牌語調時使用。
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。
Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".
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。
Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says "crawl site", "map site", "full crawl", "find all pages", "broken links", "site structure", "discover pages", "JS rendering", or needs site-wide analysis.
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。
Bing Webmaster Tools + IndexNow extension. Microsoft Copilot citations are fed by the Bing index; this skill makes Bing visibility, link data, and IndexNow URL submission first-class.
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。
Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says "schema", "structured data", "rich results", "JSON-LD", or "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。
Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says "sitemap", "generate sitemap", "sitemap issues", or "XML sitemap".
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。
SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".
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。
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
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。
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
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。