Agent skill · Content & Marketing

blog-outline

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", "struc

AgriciDanielgithub.com/AgriciDanielGitHub ↗
claude-codeMIT
Install
npx skills add AgriciDaniel/claude-blog --skill blog-outline --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/blog-outline/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,566
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 resul

What's inside
Steps it walks through
  1. Cross-reference
  2. Workflow
  3. Step 1: Topic & Intent
  4. Step 2: SERP Analysis
  5. Step 3: Generate Outline
  6. Step 4: Content Gaps
  7. Step 5: Save
More from claude-blog
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About this skill
What does the blog-outline skill do?

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", "struc

How do I install it?

Run `npx skills add AgriciDaniel/claude-blog --skill blog-outline --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From AgriciDaniel/claude-blog, a repository with 1,566 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going