Domain Recommender
/install domain-recommender
Domain Recommender
Use this skill when the user gives:
- an AI application direction
- a keyword
- a short product sentence
and wants domain recommendations that are:
- SEO-friendly
- brandable
- realistically usable
- checked for current availability before you answer
Outcome
Return a short list of domain names that are both:
- semantically strong for the product
- verified as currently available or very likely available based on live checks
Do not stop at brainstorming names. The final answer must include an availability check.
Workflow
1. Understand the product and derive naming roots
Extract:
- the core problem
- the target audience
- the strongest search intent words
- the most natural noun/verb roots
Then expand into:
- singular/plural forms
- shortened roots
- phonetic or spelling variants when natural
- useful suffixes and prefixes
Example:
calculatorcan expand tocalc,calcu,calculator,calcuratorwritercan expand towrite,writer,scribe,draftmeeting notescan expand tonote,memo,meet,recap,brief
Read seo-brand-patterns.md for naming patterns and scoring heuristics.
2. Generate candidate names locally first
Use the bundled script to generate candidate domains quickly:
python3 scripts/generate_candidates.py "AI meeting notes app"
Optional:
python3 scripts/generate_candidates.py "AI tax calculator" --tlds com ai io app
The script is only a generator. It does not prove registration availability.
3. Rank candidates before checking availability
Prefer names that are:
- easy to spell
- short enough to remember
- semantically close to the user intent
- likely to help search relevance through the root word
- not awkward or obviously spammy
Avoid names that are:
- trademark-heavy or clearly derived from famous brands
- too long
- full of random hyphens or digits
- semantically vague
- awkward to pronounce
4. Verify availability with live checks
Availability is time-sensitive. You must verify it live before returning results.
Recommended order:
- Use live web checks on registrar or marketplace pages for the exact domain.
- Use DNS checks as a quick filter, not as the final proof.
- If you cannot confirm registrar availability, explicitly say it is only a likely-available fallback and explain why.
At minimum:
- check the exact domain live
- include the exact TLD
- prefer confirmed availability over speculation
Use dig only as a helper:
dig +short example.com
dig +short NS example.com
Important:
- no DNS record does not guarantee the domain is unregistered
- parked domains and for-sale domains may still resolve
- the final answer should prioritize registrar-confirmed availability
5. Return only the best shortlist
Default to 5 results unless the user asks for more.
For each result, include:
- domain
- why it fits the product
- naming logic
- current availability status
If nothing strong is available:
- say that directly
- offer the next-best alternatives
- widen the TLD set only after
.comand the most relevant TLDs are checked
Output Format
Use a concise structure:
- product interpretation
- shortlisted available domains
- optional backup domains
For each domain, prefer a compact line such as:
calcurator.ai— calculator root with a memorable spelling variant; confirmed available
If availability is not fully confirmed, label it clearly:
calcpilot.io— strong fit, DNS-clear, but registrar confirmation not obtained
TLD Preference
Default priority:
.com.ai.io.app.co
Adjust only when the product makes another TLD more natural.
Scope Boundaries
This skill is for domain recommendation and availability checking.
It is not for:
- trademark clearance
- legal opinion
- full brand identity work
You may mention obvious trademark risk heuristics, but do not present that as legal clearance.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install domain-recommender - 安装完成后,直接呼叫该 Skill 的名称或使用
/domain-recommender触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Domain Recommender 是什么?
Recommend SEO-friendly, brandable domain names for an AI product idea, then verify current availability before returning candidates. Use when the user provid... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。
如何安装 Domain Recommender?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install domain-recommender」即可一键安装,无需额外配置。
Domain Recommender 是免费的吗?
是的,Domain Recommender 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Domain Recommender 支持哪些平台?
Domain Recommender 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Domain Recommender?
由 daviddonecn(@daviddonecn)开发并维护,当前版本 v0.1.0。