A comprehensive end-to-end pipeline for researching, writing, fact-checking, and publishing SEO-optimized blog content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seo-article-pipeline
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install seo-article-pipeline using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is SEO Article Pipeline?
The SEO Article Pipeline is a sophisticated workflow designed for developers and marketers who need to scale high-quality content production. This skill handles the entire lifecycle of an article, from initial keyword research using live API data to final Git deployment. By utilizing Openclaw Skills, it ensures that every piece of content isn't just generated text, but a strategically structured asset that follows modern search engine optimization best practices.
This skill goes beyond simple drafting by incorporating competitive analysis, CORE-EEAT quality checks, and mandatory humanization steps. It integrates directly with image generation tools and data providers to create rich, media-heavy articles that are ready for production environments. Whether you are building a technical blog or a SaaS marketing site, this pipeline provides the structure needed for consistent, authoritative growth.
SEO Article Pipeline Use Cases
- Scaling a corporate blog with technical, data-driven pillar articles.
- Automating the localization of English content into multiple languages with SEO-friendly slugs.
- Performing deep competitive research to identify content gaps in existing search results.
- Maintaining a consistent brand voice and visual style across high volumes of content.
How SEO Article Pipeline Works
- Executes a research script using DataForSEO to fetch live search volume, CPC, and keyword difficulty.
- Performs a web search of the top 5 competitors to identify required topics and unique differentiators.
- Generates a keyword map and drafts the article based on a strict CORE-EEAT checklist.
- Triggers image generation for headers and infographics, ensuring they follow brand-specific style guides.
- Conducts an SEO self-score (targeting 8/10 or higher) and a rigorous fact-check against primary sources.
- Runs an AI-tone check to remove common linguistic patterns and ensure a natural, human-sounding voice.
- Converts assets to webp, assembles the final markdown with frontmatter, and pushes to the repository.
SEO Article Pipeline Setup
To get started with this specific pipeline in Openclaw Skills, you must configure your project details.
- Create a
seo-config.mdfile in your workspace to define your product, brand voice, and image styles. - Set your environment variables for keyword research:
export DATAFORSEO_LOGIN="your_login_here"
export DATAFORSEO_PASSWORD="your_password_here"
- Ensure you have the necessary image processing tools installed:
# For macOS
brew install webp
# For Linux
sudo apt install webp
SEO Article Pipeline Data Schema & Taxonomy
The pipeline organizes its output and configuration using the following structure:
| Path | Purpose |
|---|---|
seo-config.md |
Core configuration for brand identity and SEO targets. |
output/[slug]/images/ |
Temporary staging area for generated visual assets. |
content/blog/{locale}/ |
The final destination for localized markdown files. |
scripts/research-keyword.sh |
Interface for external SEO data providers. |
SEO Article Pipeline Advanced Features
- Automatic image-to-webp conversion for optimized page speed performance.
- Mandatory citation density checks requiring at least one external link per 500 words.
- Multi-agent support for fetching live documentation and source code to ensure technical accuracy.
- Sophisticated AI-tone humanization protocol that targets and replaces 10+ common AI writing patterns.
- Native support for language pairs and synchronized translations across locale-specific directories.
SKILL.md
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