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Blog Cannibalization

agricidaniel/claude-blog

Scans your blog directory for keyword cannibalization by extracting primary keywords from titles and headings, then clustering posts that compete for the same search intent. Runs locally by default using content analysis, or connect DataForSEO API for SERP overlap data at about a penny per call. Outputs a severity-scored report flagging exact matches, stem matches, and semantic overlaps with specific recommendations: merge thin duplicates, differentiate competing posts, or set canonicals. Honestly most useful when you've been publishing for a while and suspect you're competing against yourself in search results. The local mode is surprisingly effective without needing API access.

skills.sh installs
2.7K
GitHub stars
2.7K
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add agricidaniel/claude-blog --skill blog-cannibalization --agent claude-code

Installs into .claude/skills of the current project.

Files

Blog Cannibalization - Keyword Overlap Detection

Bundled paths below use host Markdown substitution of ${CLAUDE_SKILL_DIR}; it is not an exported shell variable. Resolve them before execution, quote paths, and refuse nonabsolute overrides. Pass blog_reference_root resolved from ${CLAUDE_SKILL_DIR}/../blog/references, blog_template_root from ${CLAUDE_SKILL_DIR}/../blog/templates, and needed sibling roots to agents. Read the main reference orchestration-details.md before loading project context; pass only its helper-fenced output to downstream agents.

Detect when multiple blog posts compete for the same search keywords. Two modes: local-only analysis (default) and DataForSEO API mode for SERP-level data.

Two Modes

ModeFlagCostData Source
Local(default)FreeFile content analysis via Grep/Read
API--apiPaid, billed per request (see DataForSEO pricing)DataForSEO Page Intersection + Ranked Keywords
SKILL.md on GitHub

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Details

Repository
github.com/agricidaniel/claude-blog
Categories
Backend & APIs, Git & Pull Requests, Documentation, Marketing & SEO
First seen
Jun 3, 2026

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