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콘텐츠 → Quiz-First 학습 → 선택적 깊이 탐색 → 근본 개념 확장.

Guides content strategy for SEO: topic clusters, pillar pages, cluster articles, and editorial planning. For content marketing across all channels (blog, email, social, video), see content-marketing. For translation workflow and multilingual content, see translation.

Dedizierter Skill verfügbar: Nutze /linkedin-post, /linkedin-article, /linkedin-comment, /linkedin-monitor, /linkedin-scan, /linkedin-image

Create, update, and manage WordPress content — posts, pages, media, categories, tags, and menus. Produces live content on the site via WP-CLI or the REST API.

Inspect npm package tarball contents before publishing to verify what files will be distributed. \n \n Lists exact files that would be uploaded to npm, helping catch missing or unwanted inclusions before publish \n Respects files field in package.json, .npmignore , and .gitignore rules to show the actual bundle contents \n Automatically builds the package, creates a tarball, displays contents, and cleans up in a single command \n Run from the package directory with a simple bash script; useful f

Extract and normalize content from URLs across supported platforms. Returns structured data including content body, metadata, and references. Useful as a preprocessing step for content generation skills or standalone content extraction.

Read skills/seo/references/eeat-framework.md for full criteria.

Brand voice analysis, SEO optimization, and platform-specific content frameworks for consistent marketing. \n \n Includes brand voice analyzer to establish and maintain consistent tone across content, plus SEO optimizer that scores content and provides keyword density and structure recommendations \n Provides content frameworks and templates for blog posts, social media, and content calendars, with platform-specific optimization guidelines \n Supports batch content creation workflows with 40/25/

Structured guidance for designing, executing, and analyzing content experiments to improve conversion and engagement. \n \n Covers hypothesis frameworks, metric selection, sample size calculation, and statistical significance testing across A/B and multivariate experiments \n Includes detailed resources on p-values, confidence intervals, power analysis, and Bayesian methods for interpreting results \n Provides CMS integration patterns for managing variants at the field level and connecting exter

Typed content collections and SQL-backed queries for Nuxt apps with markdown, MDC, and remote sources. \n \n Supports local markdown files, remote GitHub repositories, and external APIs as content sources via defineCollection and defineCollectionSource \n Query content with a fluent SQL-like API ( queryCollection ) for filtering, navigation, and search across typed collections \n Render markdown with Vue component support (MDC syntax) using ContentRenderer and customizable prose components \n In