blog-outline

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SERP-informed outline generation with H2/H3 heading hierarchy, competitive content gap analysis, section-by-section word count targets, chart and image placement markers, optional FAQ question planning, and internal linking zones. Skeleton only: structure, H2/H3 hierarchy, word counts, optional FAQ slots. Use blog-brief instead if you need full competitive analysis, statistics research, and image suggestions. Lighter than a full content brief, generates article skeleton and structure only, ready for /blog write to consume. Use when user says "outline", "blog outline", "content outline", "structure blog", "plan sections", "article skeleton", "heading structure", "SERP analysis", "competitive outline", "plan article".

AI & Automation 1,507 stars 260 forks Updated 4 days ago MIT

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Quality Score: 99/100

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50
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100
Description 5%
100

Skill Content

# Blog Outline Generator: SERP-Informed Structure Planning Generates skeletal blog post outlines informed by SERP analysis. A lighter alternative to a full content brief - produces heading hierarchy, section targets, and content gap notes without deep statistics research or full competitive analysis. ## Cross-reference For evidence-led topical-relevance and content-planning prompts upstream of outlining, see `/blog flow find`. The blog-post-outline-prompt under `/blog flow optimize` is a complementary structural reference. ## Workflow ### Step 1: Topic & Intent Gather from the user: 1. **Topic or target keyword** (required) 2. **Target keyword** - the exact phrase to rank for (if different from topic) 3. **Search intent** - Informational, commercial, or transactional If only a topic is given, infer the keyword and intent from context. ### Step 2: SERP Analysis Use WebSearch to analyze the full visible search surface for the target keyword, not just classic blue links: 1. Search for the target keyword 2. Scan classic top results plus AI Overviews, AI Mode where available, People Also Ask, featured snippets, and visible citation/source surfaces. 3. For each of the top 5 classic results, note: - **Heading structure** - H2/H3 topics covered - **Content length** - Approximate word count - **Visual elements** - Charts, images, videos, infographics - **Questions** - Any FAQ sections, People Also Ask coverage, or AI Overview/AI Mode prompt variants - **Unique...

Details

Author
AgriciDaniel
Repository
AgriciDaniel/claude-blog
Created
5 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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