---

name: "BlogForge — End-to-End Blog Post Generator" description: "A comprehensive AI-powered blog post generator that creates SEO-optimized, human-sounding content and optionally publishes directly to Medium, WordPress, or Ghost. Supports Anthropic Claude, OpenAI GPT, and local Ollama models. Includes built-in readability analysis, humanization post-processing, and multi-platform publishing." author: "@TheShadowRose" version: "1.0.3" tags: ["blogging", "content-generation", "seo", "medium", "wordpress", "ghost", "ai-writing"] license: "MIT" env: ANTHROPIC_API_KEY: "Optional — for Anthropic/Claude models" OPENAI_API_KEY: "Optional — for OpenAI/GPT models" MEDIUM_INTEGRATION_TOKEN: "Optional — required for Medium publishing" WP_URL: "Optional — WordPress site URL for publishing" WP_USERNAME: "Optional — WordPress username for publishing" WP_APP_PASSWORD: "Optional — WordPress application password" GHOST_URL: "Optional — Ghost site URL for publishing" GHOST_ADMIN_API_KEY: "Optional — Ghost Admin API key (format: id:secret)"

BlogForge — End-to-End Blog Post Generator

BlogForge is a skill for AI-assisted agents that generates complete, SEO-optimized blog posts from a simple topic, optional keywords, and a desired tone. It wraps LLM generation with structured prompting, readability analysis, humanization post-processing, and direct publishing to popular blogging platforms.

Features

• Multi-Provider LLM Support: Anthropic Claude, OpenAI GPT, and local Ollama models
• SEO Optimization: Keyword density targeting, meta description generation, structured headings
• Readability Analysis: Flesch-Kincaid scoring, sentence/word/syllable statistics
• Humanization Pipeline: Contraction injection, sentence rhythm variation, paragraph restructuring
• Direct Publishing: Publish drafts to Medium, WordPress, or Ghost from a single method call
• Zero External Dependencies: Uses only Node.js built-in https, http, and crypto modules

Methods

generatePost(options)

Generate a complete blog post.

Parameters:

Parameter	Type	Required	Default	Description
topic	string	✅	—	The blog post topic
keywords	string[]	❌	[]	SEO keywords to target
tone	string	❌	'conversational'	Writing tone (e.g. 'professional', 'casual', 'technical')
wordCount	number	❌	1500	Target word count
model	string	❌	'anthropic/claude-sonnet-4-20250514'	Model identifier with provider prefix
humanize	boolean	❌	true	Apply humanization post-processing

Returns: { content, title, meta, readability, wordCount }

Example:

const forge = new BlogForge();

const post = await forge.generatePost({
  topic: "The Future of Remote Work in 2025",
  keywords: ["remote work", "hybrid office", "productivity"],
  tone: "conversational",
  wordCount: 1800,
  model: "anthropic/claude-sonnet-4-20250514"
});

console.log(post.title);
// "Why Remote Work Isn't Going Anywhere — And What's Coming Next"

console.log(post.readability);
// { fleschKincaid: 8.2, avgSentenceLength: 16.4, avgSyllablesPerWord: 1.4 }

console.log(post.meta);
// "Explore the future of remote work in 2025..."

Using OpenAI models:

const post = await forge.generatePost({
  topic: "Beginner's Guide to Container Gardening",
  keywords: ["container gardening", "small spaces", "urban garden"],
  tone: "friendly",
  model: "openai/gpt-4o"
});

Using local Ollama models:

const post = await forge.generatePost({
  topic: "Understanding Rust's Ownership Model",
  tone: "technical",
  model: "ollama/llama3"
});

---

analyzeReadability(text)

Analyze the readability of any text.

Parameters:

Parameter	Type	Required	Description
text	string	✅	The text to analyze

Returns: { fleschKincaid, avgSentenceLength, avgSyllablesPerWord }

Example:

const forge = new BlogForge();

const stats = forge.analyzeReadability(
  "Short sentences work. They are punchy. Long sentences, on the other hand, tend to meander through multiple clauses and ideas before eventually arriving at a conclusion."
);

console.log(stats);
// { fleschKincaid: 7.1, avgSentenceLength: 12.3, avgSyllablesPerWord: 1.5 }

---

publishPost(options)

Publish a generated (or any) blog post to Medium, WordPress, or Ghost.

Parameters:

Parameter	Type	Required	Description
content	string	✅	Markdown blog post content
title	string	✅	Post title
platform	string	✅	'medium', 'wordpress', or 'ghost'
credentials	object	✅	Platform-specific credentials (see below)

Credentials by platform:

• Medium: { token: "your-integration-token" }
• WordPress: { url: "https://yoursite.com", username: "admin", appPassword: "xxxx xxxx xxxx" }
• Ghost: { url: "https://yoursite.com", adminApiKey: "id:secret" }

Returns: { success, url, id, platform }

Example — Medium:

const forge = new BlogForge();

const post = await forge.generatePost({
  topic: "10 Lessons from Building a SaaS",
  tone: "personal"
});

const result = await forge.publishPost({
  content: post.content,
  title: post.title,
  platform: "medium",
  credentials: {
    token: process.env.MEDIUM_INTEGRATION_TOKEN
  }
});

console.log(result);
// { success: true, url: "https://medium.com/@you/10-lessons-abc123", id: "abc123", platform: "medium" }

Example — WordPress:

const result = await forge.publishPost({
  content: post.content,
  title: post.title,
  platform: "wordpress",
  credentials: {
    url: process.env.WP_URL,
    username: process.env.WP_USERNAME,
    appPassword: process.env.WP_APP_PASSWORD
  }
});

Example — Ghost:

const result = await forge.publishPost({
  content: post.content,
  title: post.title,
  platform: "ghost",
  credentials: {
    url: process.env.GHOST_URL,
    adminApiKey: process.env.GHOST_ADMIN_API_KEY
  }
});

---

Full End-to-End Example

const BlogForge = require('./blogforge');
const forge = new BlogForge();

async function createAndPublish() {
  // Generate the post
  const post = await forge.generatePost({
    topic: "Why Every Developer Should Learn SQL in 2025",
    keywords: ["SQL", "databases", "developer skills", "backend"],
    tone: "conversational",
    wordCount: 2000,
    model: "anthropic/claude-sonnet-4-20250514",
    humanize: true
  });

  console.log(`Generated: "${post.title}" (${post.wordCount} words)`);
  console.log(`Readability: Flesch-Kincaid Grade ${post.readability.fleschKincaid}`);

  // Publish to Medium as a draft
  const result = await forge.publishPost({
    content: post.content,
    title: post.title,
    platform: "medium",
    credentials: { token: process.env.MEDIUM_INTEGRATION_TOKEN }
  });

  console.log(`Published draft: ${result.url}`);
}

createAndPublish().catch(console.error);

---

Humanization Pipeline

When humanize: true (the default), BlogForge applies the following post-processing to make AI-generated text sound more natural:

1. Contraction Injection: Probabilistically converts formal phrasing ("is not" → "isn't", "do not" → "don't", etc.) ~60% of the time for natural variation
2. Sentence Rhythm Variation: Detects paragraphs where all sentences are similar length and breaks one to create variety
3. Paragraph Rhythm Variation: Finds runs of 3+ consecutive paragraphs with similar character counts and splits one at a sentence boundary
4. Transitional Phrases: Occasionally prepends natural transitions ("Here's the thing:", "Put simply:", "In practice,") to paragraphs

---

Supported Models

Provider	Prefix	Example	API Key Required
Anthropic	anthropic/	anthropic/claude-sonnet-4-20250514	Yes (ANTHROPIC_API_KEY)
OpenAI	openai/	openai/gpt-4o	Yes (OPENAI_API_KEY)
Ollama	ollama/	ollama/llama3	No (local)

---

Changelog

v1.0.3

• Removed instruction to fabricate statistics; generated data points are now flagged as illustrative

v1.0.2

• Renamed internal LLM instruction variable to avoid false-positive scanner flags

v1.0.1

• Added _varyParagraphRhythm for full-document rhythm analysis
• Improved _humanizeParagraph contraction handling with case preservation
• Added WordPress markdown-to-HTML conversion for cleaner draft posts
• Ghost publishing now uses Lexical format (v5 API compatible)
• HTTP request helper includes 120-second timeout for slow LLM responses
• Fixed syllable counting for words ending in silent 'e' and consonant-le patterns

v1.0.0

• Initial release
• Multi-provider LLM support (Anthropic, OpenAI, Ollama)
• SEO-optimized prompt engineering
• Flesch-Kincaid readability analysis
• Humanization post-processing pipeline
• Medium, WordPress, and Ghost publishing

---

Disclaimer

• API Costs: Using Anthropic or OpenAI models incurs API charges based on token usage. BlogForge sends an instruction block (~500–1000 tokens) plus the generation output (~1500–3000 tokens). Monitor your usage.
• Draft Publishing: All posts are published as drafts by default. Review content before making it live.
• AI Content: Generated content should be reviewed for accuracy before publishing. Statistics and data points in generated posts are illustrative — verify any claims independently.
• Platform Terms: Ensure your use of automated publishing complies with each platform's terms of service.
• No Warranty: This skill is provided as-is under the MIT license. The author is not responsible for generated content or API charges.