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lisbeth718/pseo-skills

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54 stars 品質 74 トレンド 33MIT

pSEO Skills for AI Coding Assistants

概要

A complete set of skills for implementing programmatic SEO (pSEO) at scale, plus general SEO skills for multilingual sites, migrations, log analysis, regression checks and content pruning. Works with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, OpenAI Codex CLI, Aider, Continue, Amazon Q, Zed AI, Cody, Junie, Devin, and any LLM-powered coding assistant. Designed for 1000+ page sites with built-in quality safeguards, memory management, and alignment with Google's current spam policies (scaled content abuse, doorway abuse, site reputation) and optional visibility for non-Google AI agents. Usable on any site, pSEO or not. Most also slot into the pipeline below. Where they fit: - : run alongside pseo-metadata and pseo-linking when the site is multilingual. - : run before and after each deploy. - and : run after launch, together with gsc (monthly or quarterly). - : standalone, whenever URLs, domains or the stack change. Each skill lives in its own folder in skills/ (a SKILL.

README

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pSEO + SEO Skills for AI Coding Assistants

A complete set of skills for implementing programmatic SEO (pSEO) at scale, plus general SEO skills for multilingual sites, migrations, log analysis, regression checks and content pruning. Works with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, OpenAI Codex, Kiro, Aider, Zed, Devin, and any LLM-powered coding assistant that accepts Agent Skills or custom instructions. Designed for 1000+ page sites with built-in quality safeguards, memory management, and alignment with Google’s current spam policies (scaled content abuse, doorway abuse, site reputation) and optional visibility for non-Google AI agents.

Skills

Skill Purpose
pseo-discovery Analyze codebase and business context to find pSEO opportunities
pseo-audit Audit codebase readiness for pSEO at scale (read-only)
pseo-data Design the structured data architecture powering all pages
pseo-templates Build page templates with unique, intent-matched content
pseo-metadata Implement dynamic title, description, canonical, OG, and Twitter tags
pseo-schema Add JSON-LD structured data for features Google still supports (Article, Breadcrumb, Product, etc.)
pseo-linking Build internal linking: hub-spoke, breadcrumbs, related pages, sitemap, redirects
pseo-performance Optimize builds, Core Web Vitals, memory, and gradual rollout
pseo-llm-visibility Visibility for non-Google AI agents: llms.txt, AI crawler controls, entity clarity (Google Search ignores llms.txt)
pseo-quality-guard Validate against thin content, duplicates, cannibalization, and scaled content abuse
gsc Post-launch monitoring: pull Search Console data, inspect URLs, manage sitemaps, BigQuery bulk export for big sites (self-contained scripts)
pseo-scale Architect for 10K-100K+ pages: database layer, data sufficiency gating, incremental validation, crawl budget, CDN
pseo-orchestrate Coordinate all skills in the correct dependency order

General SEO skills

Usable on any site, pSEO or not. Most also slot into the pipeline below.

Skill Purpose
seo-i18n Multilingual and multi-regional SEO: URL structure, hreflang, localized metadata and slugs, [lang] routing
seo-migration SEO-safe migrations: redirect maps, domain moves, replatforms, Change of Address, monitoring and rollback
seo-log-analysis Server and CDN log analysis: crawl waste, orphaned pages, time to first crawl, Googlebot latency, AI bot traffic
seo-regression-guard Pre-deploy and post-deploy SEO regression checks against a baseline, no CI needed (ships scripts/)
seo-content-refresh Content decay and pruning: classify pages by trend, refresh, consolidate, noindex or remove

Where they fit:

  • seo-i18n: run alongside pseo-metadata and pseo-linking when the site is multilingual.
GitHub で README 全文を見る

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