Domain Checker

CommunityPopular

davidondrej

domain-checker

Check domain registration in batches through public registry RDAP APIs, without API keys or login. Use for domain availability checks, checking candidate domains, or keyless domain lookup from a CLI. Screens registration status, not brand conflicts, trademark clearance, or guaranteed purchase availability.

Overview

Publisher	davidondrej
Repository	`skills`
Skill name	`domain-checker`
Stars	4.1K
Forks	599
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by davidondrej on GitHub. Read the source before you install it.

Installation

Install the Domain Checker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/research-and-web/domain-checker .claude/skills/domain-checker

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Checker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Domain Checker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Domain Checker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Domain checker

Run the bundled Python 3 checker. No packages, credentials or browser needed. Resolve scripts/check_domains.py relative to this SKILL.md, regardless of the current working directory.

sh
python3 <skill-dir>/scripts/check_domains.py example.com example.dev example.ai --json

Pass complete domains, not bare brand names or URLs. For a name across several extensions, expand them into explicit domains. The helper supports domains directly under a TLD, including .com, .dev, .ai and .cloud; multi-label suffixes such as .co.uk are outside its scope.

The script discovers registry endpoints from IANA and runs up to 4 requests concurrently. Use small batches. It sends domain queries to public registries, not registrar shopping carts.

Read the results

JSON output is an array of {domain, status, detail} objects. Without --json, output is a short list and elapsed time.

REGISTERED: matching registration record found.
NOT_FOUND: registry reports no record. Do not call this confirmed available. Reserved names, registration rules and premium pricing may still prevent purchase.
UNAVAILABLE: registry explicitly reports a reservation or registration restriction.
UNKNOWN: unsupported registry, malformed response, timeout or HTTP error. Never convert this to available.
INVALID: malformed name or input outside the helper’s supported scope.

Report results briefly, noting they are a live snapshot. Keep exact domains with their statuses. For UNKNOWN, explain the returned reason; on rate limits, wait before retrying rather than increasing concurrency. Bootstrap failure exits nonzero and means no checks completed.

Read registry error bodies. A 404 can contain an explicit reservation; Verisign may return an empty RDAP 404. The helper handles both. It detects some explicit reservation messages, not every registry’s wording. DNS absence and RDAP redirect-service errors are not evidence of availability.

For final purchase availability or a premium quote, use a registrar check. Domain registration status does not establish whether another company uses the name.

Sources: IANA registry discovery, RDAP HTTP semantics, RDAP.org status and rate-limit distinctions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/check_domains.py3 KB

Frequently asked questions

What does the Domain Checker AI skill do?

Why use Domain Checker on TypingMind?

Because you install it once and use it with any model. Domain Checker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Domain Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/research-and-web/domain-checker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Domain Checker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Domain Checker?

As many as you like. As long as a model supports skills, you can use Domain Checker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Domain Checker AI skill free?

Yes. It is published on GitHub by davidondrej under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Setup Matt Pocock Skills

mattpocock

CommunityPopular

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Domain checker

Read the results

Bundled files

Frequently asked questions

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