content-experimentation-best-practices 是做什么的？
内容实验与A/B测试指南，涵盖实验设计、假设、指标、样本量、统计基础、CMS管理的变体及常见分析陷阱。在规划实验、设置变体、选择成功指标、解读统计结果或构建CMS及前端栈中的实验工作流时使用。
内容实验与A/B测试指南，涵盖实验设计、假设、指标、样本量、统计基础、CMS管理的变体及常见分析陷阱。在规划实验、设置变体、选择成功指标、解读统计结果或构建CMS及前端栈中的实验工作流时使用。
该技能提供全面的内容实验和A/B测试最佳实践指南，适用于使用Sanity CMS或前端栈的开发者和产品团队。它涵盖从实验设计、假设制定、指标选择、样本量计算到统计基础知识的完整流程，并详细解释如何在CMS中管理变体。此外，该技能还指出了常见的分析陷阱，帮助用户避免误解实验结果。支持Sanity CMS、Next.js、Gatsby等前端框架，以及GitHub Actions、Vercel、Netlify等CI/CD平台。通过遵循指南，用户可以高效地设置实验、运行A/B测试，并基于统计显著的结果做出数据驱动的优化决策。
npx skills add https://github.com/sanity-io/agent-toolkit/tree/main/skills/content-experimentation-best-practicesInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
内容实验与A/B测试指南，涵盖实验设计、假设、指标、样本量、统计基础、CMS管理的变体及常见分析陷阱。在规划实验、设置变体、选择成功指标、解读统计结果或构建CMS及前端栈中的实验工作流时使用。
This repo contains 3 individual skills — each has its own dedicated page.
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix, SvelteKit, Angular, Hydrogen, and the App SDK. Use this skill whenever working with Sanity schemas, defineType or defineField, GROQ or defineQuery, content modeling, Presentation or preview setups, Sanity-powered frontend integrations, Sanity Functions, documentEventHandler, defineDocumentFunction, defineMediaLibraryAssetFunction, @sanity/functions, @sanity/blueprints, sanity.blueprint.ts, event-driven content automation, or when reviewing and fixing a Sanity codebase.
SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.