A high-performance utility for generating brandable, SEO-optimized domain names with integrated live availability verification for AI products.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install domain-recommender
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 domain-recommender 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 Domain Recommender?
Domain Recommender is a specialized technical tool within the Openclaw Skills ecosystem designed to bridge the gap between AI product ideation and brand identity. It goes beyond simple brainstorming by analyzing core search intent, target audiences, and semantic roots to suggest names that are both memorable and search-engine friendly.
By leveraging localized scripts and live verification protocols, this skill ensures that developers and entrepreneurs receive a curated shortlist of actionable candidates. It prioritizes high-value TLDs like .com, .ai, and .io, ensuring that every recommendation aligns with modern digital branding standards and technical feasibility.
Domain Recommender Use Cases
- Launching a new AI application and requiring a domain that matches the product's search intent.
- Rebranding an existing project with a more concise, SEO-friendly name.
- Conducting rapid market research to see which naming roots are still available in competitive TLD spaces.
- Automating the domain discovery process within a larger AI agent development workflow.
How Domain Recommender Works
- Semantic Extraction: The skill analyzes the product concept to identify target audiences and primary search keywords.
- Root Expansion: It generates variations including singular/plural forms, shortened roots, and phonetic variants.
- Candidate Generation: A bundled Python script produces a broad list of potential names based on proven SEO brand patterns.
- Heuristic Ranking: Candidates are scored based on length, pronounceability, and semantic relevance to filter out low-quality options.
- Live Verification: The skill performs real-time checks using DNS lookups and registrar-level verification to confirm availability.
- Shortlist Delivery: A final, curated list of available domains is presented with the underlying naming logic for each.
Domain Recommender Setup
To use this tool within the Openclaw Skills framework, ensure you have the necessary dependencies installed:
# Ensure python3 and dnsutils (for dig) are installed
sudo apt-get install python3 dnsutils
# Run the candidate generator script
python3 scripts/generate_candidates.py "Your AI Concept"
Domain Recommender Data Schema & Taxonomy
The skill organizes its recommendation logic and output using the following structure:
| Attribute | Description |
|---|---|
| Naming Roots | Derived from product keywords (e.g., 'calc' for 'calculator'). |
| TLD Priority | Hierarchical list: .com, .ai, .io, .app, .co. |
| Scoring Heuristics | Metrics based on ease of spelling, length, and trademark risk. |
| Verification Logs | Live status results from DNS and registrar checks. |
Domain Recommender Advanced Features
- Custom TLD Targeting: Specify exact top-level domains to search against for niche industry alignment.
- Automated Root Expansion: Advanced logic for phonetic and spelling variants to find hidden gems in crowded namespaces.
- Multi-Level Verification: Combines quick DNS filters with deeper registrar-level confirmation for high-accuracy results.
- SEO Pattern Integration: Utilizes predefined brand patterns to ensure names are optimized for organic discovery.
SKILL.md
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