Guía de experimentación de contenido y pruebas A/B que cubre diseño de experimentos, hipótesis, métricas, tamaño de muestra, fundamentos estadísticos, variantes gestionadas por CMS y errores comunes de análisis. Usa esta skill al planificar experimentos, configurar variantes, elegir métricas de éxito, interpretar resultados estadísticos o construir flujos de trabajo de experimentación en un CMS o stack frontend.
Esta skill proporciona una guía completa sobre experimentación de contenido y pruebas A/B, enfocándose en el diseño de experimentos, formulación de hipótesis, métricas de éxito, tamaño de muestra y fundamentos estadísticos. Es útil para desarrolladores y equipos que trabajan con CMS o stacks frontend, permitiendo configurar variantes de contenido, interpretar resultados estadísticos y evitar errores comunes de análisis. Soporta plataformas como Sanity CMS, Cursor y Codex, y se basa en documentación detallada (SKILL.md) que describe flujos de trabajo desde la planificación hasta la implementación. Esta skill es ideal para quienes necesitan tomar decisiones basadas en datos, optimizar experiencias de usuario y validar cambios de contenido de manera controlada.
npx skills add https://github.com/sanity-io/agent-toolkit/tree/main/skills/content-experimentation-best-practicesInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Guía de experimentación de contenido y pruebas A/B que cubre diseño de experimentos, hipótesis, métricas, tamaño de muestra, fundamentos estadísticos, variantes gestionadas por CMS y errores comunes de análisis. Usa esta skill al planificar experimentos, configurar variantes, elegir métricas de éxito, interpretar resultados estadísticos o construir flujos de trabajo de experimentación en un CMS o stack frontend.
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.