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Détecteur de Cannibalisation de Contenu

Identifie la cannibalisation de mots-clés entre les pages d'un site en analysant les données de l'API Google Search Console Performance, extrayant les associations requête-page et détectant les chevauchements via le score de similarité cosinus TF-IDF. Génère des recommandations de fusion et des plans de redirection 301 à partir d'exportations Screaming Frog.

Qu'est-ce que Détecteur de Cannibalisation de Contenu ?

Ce skill est conçu pour les experts SEO et les développeurs web qui gèrent des sites avec plusieurs pages susceptibles de se faire concurrence sur les mêmes mots-clés. Il utilise l'API Google Search Console Performance pour récupérer les données de performance des requêtes et des pages, puis extrait les paires requête-page. Grâce à l'algorithme TF-IDF (Term Frequency-Inverse Document Frequency) et au calcul de similarité cosinus, il identifie les pages dont le contenu est trop similaire, indiquant une cannibalisation de mots-clés. Le skill génère automatiquement des recommandations pour fusionner ou réorganiser le contenu afin d'améliorer le classement, et produit des cartes de redirection 301 exploitables via des exports Screaming Frog pour faciliter la mise en œuvre. Il est particulièrement utile pour les audits SEO avancés et l'optimisation de la stratégie de contenu.

Compatible avec~Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/content-cannibalization-detector
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Documentation

Que fait Détecteur de Cannibalisation de Contenu ?

Identifie la cannibalisation de mots-clés entre les pages d'un site en analysant les données de l'API Google Search Console Performance, extrayant les associations requête-page et détectant les chevauchements via le score de similarité cosinus TF-IDF. Génère des recommandations de fusion et des plans de redirection 301 à partir d'exportations Screaming Frog.

Installation

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Source

Individual skills in this repo

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

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act Local GitHub Actions Runner

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Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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