
Blog Strategy
This is a full-stack blog positioning framework that treats content strategy as a multi-surface problem: traditional SEO, AI citations (ChatGPT, Perplexity, AI Overviews), and GEO platforms like YouTube and Reddit. It walks you through competitive AI citation mapping, audience segmentation, and hub-and-spoke topic cluster architecture with internal linking plans. The differentiation angle is smart: it pushes original research and first-hand experience as table stakes post-December 2025 Core Update, and explicitly acknowledges that 80% of LLM citations come from outside the top 100 organic results. You get a structured workflow from discovery through measurement framework, with templates for 12 content types and cross-references to research quality rubrics. Use this when you need to answer "what should we actually write about" with evidence instead of vibes.
- skills.sh installs
- 2.6K
- GitHub stars
- 2.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add agricidaniel/claude-blog --skill blog-strategy --agent claude-codeInstalls into .claude/skills of the current project.
Files
Blog Strategy: Positioning & Content Architecture
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.
Develops comprehensive blog strategies that build topical authority for Google rankings while establishing brand presence for AI citation platforms. Includes topic cluster architecture, AI citation surface strategy, content scoring targets, and AI-citation SEO plans.
Research discipline references (v1.8.0):
${CLAUDE_SKILL_DIR}/../blog/references/research-quality.md- 5-dim rubric, pre-flight trap classes, cross-source clustering, freshness floors${CLAUDE_SKILL_DIR}/../blog/references/synthesis-contract.md- 6 LAWs for synthesis output
Sponsors
Details
- Repository
- github.com/agricidaniel/claude-blog
- Categories
- Git & Pull Requests, Documentation, Code Review & Quality, AI & Agent Building, Data Science & ML, Productivity & Planning, Marketing & SEO, Design & UI/UX
- First seen
- Jun 3, 2026
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