Blog Post from Keyword Cluster

Generate a complete, SEO-optimized blog post from a Rampify keyword cluster. This skill pulls your keyword research, competitive landscape, and content specs, then writes a blog post that targets the right terms from the start.

Type: On-demand skill Tools used: get_keyword_clusters, create_content_spec, optimize_content Install path: .claude/skills/rampify-blog-post.md

Install#

Copy the skill file to your project:

mkdir -p .claude/skills
curl -o .claude/skills/rampify-blog-post.md \
  https://raw.githubusercontent.com/rampify-dev/rampify-skills/main/skills/blog-post-from-cluster.md

Or create .claude/skills/rampify-blog-post.md manually with the content below.

The Skill File#

---
name: rampify-blog-post
description: Generate an SEO-optimized blog post from a Rampify keyword cluster
---

# Rampify Blog Post Generator

When the user asks to write a blog post, follow this workflow:

## 1. Get the keyword cluster

Use `get_keyword_clusters` to find the cluster for the target topic.
If the user provides a cluster name or URL, filter by that.
If not, list available clusters and ask which one to use.

## 2. Review the keyword data

From the cluster, identify:
- **Primary keyword** — this goes in the title, H1, meta description, and first paragraph
- **Secondary keywords** — work these into H2 headings and body paragraphs
- **Long-tail keywords** — sprinkle these naturally throughout the content
- **Competitive landscape** — understand who ranks and how to differentiate
- **Target URL** — where this post will live

## 3. Write the blog post

Structure the post as:
- Title containing the primary keyword (under 60 characters)
- Opening paragraph that includes the primary keyword naturally
- 3-5 H2 sections, each targeting a secondary or long-tail keyword
- Practical, specific content (code examples, step-by-step instructions, real data)
- Conclusion with a clear next step or CTA

## 4. Generate meta tags

After writing, create:
- Meta title (under 60 chars, primary keyword included)
- Meta description (under 160 chars, primary + secondary keyword)

## 5. Verify with audit

Run `optimize_content` on the target URL after the post is deployed
to verify keyword placement passes the audit. Fix any issues flagged.

## Guidelines

- Write for developers and technical builders, not marketers
- Be specific and actionable, not generic
- Use code blocks, examples, and real data where possible
- No fluff paragraphs. Every sentence should add value
- Match the voice of the site (check existing blog posts for tone)
- Target 1,000-2,000 words for standard posts

Usage#

Once installed, invoke the skill naturally during a Claude Code session:

> Write a blog post for the "ai seo tools" keyword cluster

> Generate a blog post targeting the /blog/schema-markup-guide URL

> Use the rampify-blog-post skill to write about automated keyword research

Claude will automatically use the skill when it matches your request.

What Happens#

  1. Claude reads the skill from .claude/skills/rampify-blog-post.md
  2. Calls get_keyword_clusters to fetch your keyword data from Rampify
  3. Identifies primary, secondary, and long-tail keywords from the cluster
  4. Writes a structured blog post targeting those keywords
  5. Generates meta tags with proper keyword placement
  6. After deploy, runs optimize_content to verify the audit passes

Example Output#

For a cluster targeting "schema markup for Next.js":

---
title: "Schema Markup for Next.js: A Developer's Guide to Structured Data"
description: "Learn how to add schema markup to your Next.js site.
  JSON-LD implementation with App Router, dynamic schema generation,
  and verification."
---

# Schema Markup for Next.js: A Developer's Guide

Adding structured data to your Next.js site tells search engines
exactly what your content is about. Here's how to implement JSON-LD
schema markup with the App Router...

## Why Schema Markup Matters for Next.js Sites
...

## Implementing JSON-LD in the App Router
...

## Dynamic Schema Generation
...
Works with Any Framework

While this example shows Next.js, the skill works with any framework. The keyword data and content strategy come from Rampify; the implementation adapts to your stack.

Source#

View and contribute on GitHub: rampify-dev/rampify-skills