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deepakbunkar
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blog-outline

Generate SERP-informed blog outlines with H2/H3 hierarchies and word counts.

Updated Apr 10, 2026
Search Tags:#serp-analysis#content-planning#content-structure#blog-outline#seo-outline#faq-planning#h2-h3
One-click install
npx skills add https://github.com/deepakbunkar/claude-blog --skill blog-outline-deepakbunkar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: blog-outline
Source: https://github.com/deepakbunkar/claude-blog/tree/main/skills/blog-outline
Command: npx skills add https://github.com/deepakbunkar/claude-blog --skill blog-outline-deepakbunkar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turns search engine result signals and competitor heading patterns into a ready-to-use article skeleton so writers and content teams stop guessing structure, length, and visual placement and instead publish outlines designed to compete on SERPs and satisfy AI citation platforms.

Core Features & Use Cases

  • SERP-informed headings: Extracts H2/H3 patterns from top results to create a question-first heading hierarchy that aligns with user intent.
  • Section targets & visuals: Provides section-by-section word count targets, chart and image placement suggestions, and diversity in chart types.
  • FAQ & internal linking planning: Suggests 3–5 FAQ items from People Also Ask and outlines internal linking zones plus content gaps to exploit.
  • Use case: A content marketer preparing a 2,500-word pillar article uses this Skill to generate title options, six to eight H2 sections with H3s where needed, chart suggestions, and a saved markdown outline that a writer or /blog write can immediately consume.

Quick Start

Generate an SERP-informed outline for the topic "best electric bikes 2026" with informational intent and target keyword "best electric bikes".

Frequently Asked Questions about blog-outline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a blog outline from SERP analysis?▼

To create a blog outline from SERP analysis, extract H2/H3 heading patterns from the top five search results to form a question-first hierarchy, then estimate section word counts, visual placements, and FAQs to match competitor structure.

What is SERP-informed content planning for SEO?▼

SERP-informed content planning is the process of analyzing visible elements and headings from top-ranking pages to generate an article skeleton, ensuring your blog structure directly aligns with user intent and search engine expectations.

How do I plan FAQ sections and internal links for a pillar article?▼

Plan FAQ sections and internal links by extracting 3–5 questions from People Also Ask results and mapping internal linking zones alongside content gaps to exploit, creating a structured outline ready for a writer.

Can I generate section word counts and chart placements from competitor headings?▼

Yes, you can generate section word counts and chart placements by analyzing competitor heading patterns, which provides section-by-section target lengths and recommends diverse chart and image types for visual placement.

Does this content structure approach work for solo writers and content teams?▼

Yes, this content structure approach works for both solo writers and content teams by converting competitor heading patterns into a ready-to-use markdown outline file, eliminating the need to guess article length and visual placement.

What are the limitations of generating SEO outlines from search results?▼

Limitations of generating SEO outlines from search results include relying strictly on the top five search results for heading patterns, which may require optional deeper page fetches to fully capture niche content gaps and specialized user intent.

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