A meta-skill that orchestrates search, summarization, and data gateways to perform deep SEO audits and generate optimized content drafts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seo-ranker
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-ranker 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-ranker?
The seo-ranker is a powerful orchestration meta-skill designed for developers and marketers who need a deterministic, data-driven approach to search engine optimization. As a standout choice among Openclaw Skills, it coordinates specialized tools to inspect live SERP competition, analyze competitor content structures, and enrich the data with backlink intelligence. Instead of relying on manual research, this skill automates the discovery of content gaps and provides concrete, actionable rewrite guidance.
By leveraging the combined power of brave-search, summarize, and api-gateway, seo-ranker ensures that every piece of content is aligned with user intent and technical SEO best practices. It produces high-quality Markdown drafts that are ready for deployment, making it an essential component for any automated content pipeline.
seo-ranker Use Cases
- Identifying why a specific page is not ranking for its target keyword by comparing it against top SERP competitors.
- Automating competitor research to extract heading hierarchies, topical breadth, and entity usage.
- Generating fully optimized Markdown rewrites for blog posts, landing pages, and product descriptions.
- Discovering high-confidence backlink opportunities based on competitor link intersections.
- Streamlining the content update process for large-scale websites using a programmatic SEO approach.
How seo-ranker Works
- The skill performs live SERP reconnaissance to identify the top three competitors and the primary search intent (informational, commercial, or transactional).
- It analyzes competitor URLs to extract structural data, including H1-H4 hierarchies, content depth, and entity frequency.
- The system checks the api-gateway for external SEO metrics like keyword difficulty and backlink data, falling back to manual modes if keys are missing.
- It normalizes the user's existing content into Markdown to ensure a clean, structured starting point for optimization.
- The LLM engine synthesizes all gathered intelligence to rewrite the content for better intent-match and semantic coverage.
- The final output is delivered as an optimized document with a prioritized checklist of next actions and backlink sources.
seo-ranker Setup
To utilize this skill, you must install the required dependencies through the Openclaw Skills registry:
npx -y clawhub@latest install brave-search summarize api-gateway markdown-converter
You must also export the following environment variables:
export BRAVE_API_KEY='your_key_here'
export MATON_API_KEY='your_key_here'
# At least one of the following:
export OPENAI_API_KEY='your_key_here'
export ANTHROPIC_API_KEY='your_key_here'
seo-ranker Data Schema & Taxonomy
The seo-ranker produces a structured output consisting of several distinct data sections:
| Section | Description |
|---|---|
| SERPFindings | Insights on competitors, intent patterns, and content gaps. |
| DataGateStatus | Real-time status of API connections and fallback selections. |
| OptimizedMarkdown | The full rewritten document with revised metadata. |
| BacklinkOpportunities | A list of 5 domains with rationale and confidence labels. |
| NextActions | A step-by-step implementation checklist. |
seo-ranker Advanced Features
- Intelligent intent-class detection to ensure rewrites match the specific goals of the searcher.
- Automated fallback handling that allows the audit to proceed even with partial API availability.
- Semantic coverage optimization that adds natural LSI terms without keyword stuffing.
- Structural normalization using markitdown to handle various input file formats.
- Integration with external data providers like Semrush or Ahrefs via the api-gateway connection lifecycle.
SKILL.md
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