An automated toolkit for identifying search competitors, analyzing keyword rankings, and generating strategic content gap reports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seo-competitor-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install seo-competitor-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SEO Competitor Analysis skill is designed to provide developers and digital marketers with a systematic way to dissect competitor strategies. By leveraging web search and browser automation, this skill identifies which domains are dominating specific niches and why. As part of the wider ecosystem of Openclaw Skills, it allows for deep fetching of competitor content to determine topical authority and backlink potential.
This skill moves beyond simple keyword tracking by incorporating content gap analysis, which compares a user's current web presence against top-ranking rivals. By utilizing Openclaw Skills, teams can automate the repetitive nature of manual SEO research and focus on executing high-impact content strategies.
To deploy this within your Openclaw Skills environment, ensure your agent has access to web search and browser tools. Follow these steps:
# Navigate to your skills directory
cd skills/
# Clone or add the SEO analysis skill
git clone https://github.com/example/seo-competitor-analysis.git
# Install any necessary python dependencies for the discovery script
pip install -r seo-competitor-analysis/requirements.txt
The SEO Competitor Analysis skill organizes its research data into a clear taxonomy within the Openclaw Skills framework:
| Component | Location | Purpose |
|---|---|---|
| Logic Script | scripts/competitor_finder.py |
Automates the discovery of search rivals via APIs. |
| Metric Reference | references/seo_metrics_guide.md |
Contains definitions for search volume, keyword difficulty, and intent. |
| Report Template | references/report_template.md |
A markdown structure used to generate the final analysis output. |
| Search Data | data/raw_search_results.json |
Stores intermediate search engine results for auditing. |
Loading
A production-grade web application for building advanced AI chat interfaces with multi-model support, streaming output, and session persistence.

A Python-powered engine for generating detailed, professional construction project estimates with categorized cost breakdowns and automated markup calculations.

An automated research assistant that fetches and filters the latest AI papers from arXiv and HuggingFace for your daily workflow.

Trigger Gitea and Forgejo workflow_dispatch events programmatically via the API.

Extract dominant colors from images as HEX/RGB values and generate visual color swatches automatically.

A specialized conversion utility for Openclaw Skills that transforms technical DXF CAD files into web-friendly PNG, JPG, or SVG formats.








































