Your AI works like a domain consultant. It asks, listens, and helps you find a good answer.

What You Can Do

Eight open-source skills. Each one guides your AI to work with you step by step, not just output a list.

Brand Protection NEW

Brand & Risk

Scans the domain landscape around your brand: typosquat variants, lookalike registrations, and new registrations containing your name. Each domain is evaluated individually on registration facts, and similarity is treated as a signal to review, not a verdict. Ends with defensive gaps worth registering and an optional monitor on the domains you care about.

Domain Analyzer

Due Diligence

Due diligence on one domain before you buy, use, or investigate it. Your AI gathers registration, DNS, safety, backlink, cross-TLD, and website evidence in parallel, then adds market and legal context from public sources. Every finding is labeled fact, inference, or unknown, so you can see exactly what the data supports.

Domain CMA Valuation

Valuation

Positions a domain against credible substitutes currently for sale in the same keyword market, the way a real-estate CMA compares houses in one neighborhood. Verified asking prices set the range. The result is a listing-positioning range with named reasons, not an appraisal or a promise of what it will sell for.

Domain Generator

Naming & Branding

Turns a keyword, concept, or taken domain into a creatively varied shortlist: compounds, blends, coined words, and evocative directions, not just prefix swaps. Candidates are filtered for pronunciation, spelling, and brand fit, then verified as available at check time, with registration prices.

Domain Name Advisor

Naming Consultation

A naming consultation with two entry points: start from a rough idea and get a structured brief turned into candidates, or start from a taken domain and explore what you valued in it. Compares acquisition paths side by side: register a fresh name, catch a dropped one, backorder an expiring one, or buy a listed one.

Keyword Intel

Keyword Evidence

A deep evidence map for one keyword you already care about: search audience, advertiser spend, new registrations, current supply and offers, and public sales. Each layer stays separate so you can see where signals agree and where they conflict. No merged score, no verdict, just the evidence.

Keyword Trend Hunter

Trend Discovery

Browses hot and emerging registration keywords, then pressure-tests each spike: is participation broad and persistent across registrars and naming patterns, or one actor bulk-registering a template? Validated trends can expand into related dropped, expiring, or for-sale inventory.

Domain Market Beat

Market Briefing

A time-bounded briefing on what happened in the domain market: notable sales with source tiers and verification status, registration trend figures with absolute numbers, and recent domain movements. Facts lead, and causes are labeled confirmed, plausible, or unknown.

See It in Action

Example: keyword-trend-hunter turning a registration spike into opportunities

Claude Code + DomainKits Skills Active
1

Pull this week's trending keywords

Your AI checks which keywords saw unusual registration activity in the past 7 days.

keywords_trends
2

Filter out the noise

Not every spike is real demand. Your AI separates genuine multi-buyer interest from one person bulk-registering junk.

Skill logic
3

Research why it's trending

For each promising keyword, the AI searches for the real-world event behind the spike: news coverage, product launches, regulatory changes.

web_search nrds
4

Show you the opportunities

You get a ranked list: which keywords have real momentum, what's driving them, and which related domains are still available to register or buy.

market_price Skill analysis

Install in 2 Minutes

Skills require a DomainKits MCP connection. Set that up first if you haven't.

1 Clone the skills repo

git clone https://github.com/ABTdomain/domainkits-skills.git

2 Copy the skill you want

# Example: Brand Protection cp -r domainkits-skills/skills/brand-protection ~/.claude/skills/ # Or install all eight skills cp -r domainkits-skills/skills/* ~/.claude/skills/

3 Done

Claude Code auto-detects skills in ~/.claude/skills/. No restart needed. Just start a conversation and the skill activates when relevant.

1 Connect DomainKits MCP first

Go to Settings → Integrations → Add More → DomainKits. See full setup guide →

2 Paste the skill into your project instructions

Open a Claude.ai project, go to Project Knowledge, and paste the SKILL.md content. The skill will be active for conversations in that project.

# Copy from GitHub: https://github.com/ABTdomain/domainkits-skills/tree/main/skills

1 Ensure MCP connection

Your agent needs access to DomainKits MCP tools. Setup guide →

2 Add the SKILL.md to your agent's system prompt or skills directory

Skills work with most agents that support the Agent Skills open standard, or simply as system prompt instructions. Download from GitHub and integrate per your agent framework.

git clone https://github.com/ABTdomain/domainkits-skills.git # Then add the SKILL.md content to your agent's config

Frequently Asked Questions

What is the difference between DomainKits MCP and Skills?

DomainKits MCP gives your AI access to domain data: availability checks, WHOIS, pricing, trends. Skills take it further by guiding your AI through multi-step workflows, so it knows what to check, in what order, and how to interpret the results. Think of MCP as the toolbox, skills as the playbook.

Which AI agents support DomainKits Skills?

They work with Claude Code, Claude.ai, Cursor, Gemini CLI, and most AI agents that support MCP. Installation takes about 2 minutes. See the setup instructions above for your specific platform.

Do I need a DomainKits account to use Skills?

Skills are free and open source on GitHub. They use DomainKits MCP for data, which also has a free tier. Guest access works with limited daily calls. Creating a free account gives you higher limits.

How are Skills different from regular prompts?

A prompt is a one-shot instruction. A skill is a multi-step workflow: it remembers context, picks the right tool at each step, and adjusts based on your feedback. In most cases, the result is noticeably better than ad-hoc prompting.

How do AI domain skills differ from traditional name generators?

Traditional generators take a keyword and output a list of combinations. An AI skill works more like a domain consultant: it asks about your project, audience, and budget, then adjusts suggestions based on your feedback across multiple rounds. Each step builds on the previous conversation, so the AI narrows down options that fit your specific situation rather than flooding you with random variations.

Ready to Get Started?

Skills run on DomainKits MCP. If you haven't connected it yet, start there. It takes 3 minutes and it's free.

Last updated: July 23, 2026

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