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seo

Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.

Qu'est-ce que seo ?

seo is a Claude Code agent skill that audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/seo

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Documentation

Que fait seo ?

Improve search visibility through technical correctness, performance, and content relevance, not gimmicks.

When to Use

Use this skill when:

  • auditing crawlability, indexability, canonicals, or redirects
  • improving title tags, meta descriptions, and heading structure
  • adding or validating structured data
  • improving Core Web Vitals
  • doing keyword research and mapping keywords to URLs
  • planning internal linking or sitemap / robots changes

How It Works

Principles

  1. Fix technical blockers before content optimization.
  2. One page should have one clear primary search intent.
  3. Prefer long-term quality signals over manipulative patterns.
  4. Mobile-first assumptions matter because indexing is mobile-first.
  5. Recommendations should be page-specific and implementable.

Technical SEO checklist

Crawlability

  • robots.txt should allow important pages and block low-value surfaces
  • no important page should be unintentionally noindex
  • important pages should be reachable within a shallow click depth
  • avoid redirect chains longer than two hops
  • canonical tags should be self-consistent and non-looping

Indexability

  • preferred URL format should be consistent
  • multilingual pages need correct hreflang if used
  • sitemaps should reflect the intended public surface
  • no duplicate URLs should compete without canonical control

Performance

  • LCP < 2.5s
  • INP < 200ms
  • CLS < 0.1
  • common fixes: preload hero assets, reduce render-blocking work, reserve layout space, trim heavy JS

Structured data

  • homepage: organization or business schema where appropriate
  • editorial pages: Article / BlogPosting
  • product pages: Product and Offer
  • interior pages: BreadcrumbList
  • Q&A sections: FAQPage only when the content truly matches

On-page rules

Title tags

  • aim for roughly 50-60 characters
  • put the primary keyword or concept near the front
  • make the title legible to humans, not stuffed for bots

Meta descriptions

  • aim for roughly 120-160 characters
  • describe the page honestly
  • include the main topic naturally

Heading structure

  • one clear H1
  • H2 and H3 should reflect actual content hierarchy
  • do not skip structure just for visual styling

Keyword mapping

  1. define the search intent
  2. gather realistic keyword variants
  3. prioritize by intent match, likely value, and competition
  4. map one primary keyword/theme to one URL
  5. detect and avoid cannibalization

Internal linking

  • link from strong pages to pages you want to rank
  • use descriptive anchor text
  • avoid generic anchors when a more specific one is possible
  • backfill links from new pages to relevant existing ones

Examples

Title formula

Primary Topic - Specific Modifier | Brand

Meta description formula

Action + topic + value proposition + one supporting detail

JSON-LD example

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Page Title Here",
  "author": {
    "@type": "Person",
    "name": "Author Name"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Brand Name"
  }
}

Audit output shape

[HIGH] Duplicate title tags on product pages
Location: src/routes/products/[slug].tsx
Issue: Dynamic titles collapse to the same default string, which weakens relevance and creates duplicate signals.
Fix: Generate a unique title per product using the product name and primary category.

Anti-Patterns

Anti-patternFix
keyword stuffingwrite for users first
thin near-duplicate pagesconsolidate or differentiate them
schema for content that is not actually presentmatch schema to reality
content advice without checking the actual pageread the real page first
generic “improve SEO” outputstie every recommendation to a page or asset

Related Skills

  • seo-specialist
  • frontend-patterns
  • brand-voice
  • market-research

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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