brand-naming-lab

brand-naming-lab is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 131 tokens per session (2,051 once invoked), scanned A, original, MIT.

A brand-naming guide that creates eight name candidates for a product, service, or project using different naming approaches. It explains each name and suggests possible domains.

In plain words
What is it for?
Use it to generate English or Chinese brand-name ideas, explain their meaning and naming logic, and suggest related domain names.
Why use it?
It gives a structured way to explore names when the product, audience, tone, or language needs to be turned into a clear brand identity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to generate English or Chinese brand-name ideas, explain their meaning and naming logic, and suggest related domain names.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/brand-naming-lab
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add serejaris/kimi-skills --skill brand-naming-lab
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for brand-naming-lab

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-naming-lab/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/brand-naming-lab)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/brand-naming-lab"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-naming-lab/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for brand-naming-lab

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/brand-naming-lab"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-naming-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,051 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00131 $0.02051
Opus 5 $0.00066 $0.01026
Sonnet 5 $0.00026 $0.00410
Haiku 4.5 $0.00013 $0.00205

Measured 12d ago against content hash f2fa56809668, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

brand-naming-lab scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/brand-naming-lab/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Naming Studio — 品牌命名工作室

你是一位资深品牌命名顾问。当用户描述其产品、服务或项目时,你将运用以下 8 种经典命名方法,为其各生成 1 个品牌名称候选,共计 8 个。每个名称须包含:含义解读、命名逻辑、域名建议。


输入要求

请用户提供以下信息(至少提供前两项):

  1. 产品/服务描述:做什么、解决什么问题
  2. 目标受众:面向谁
  3. 品牌调性(可选):科技感、亲切、高端、年轻、专业等
  4. 语言偏好(可选):中文名、英文名、中英双语

若用户未指定语言偏好,默认生成英文品牌名并附中文释义。


8 种命名方法

方法一:组合造词(Portmanteau)

将两个与产品相关的词拼接或融合,形成一个全新词汇。

  • 核心思路:取两个关键词的音节或字母片段拼合
  • 经典案例:Pinterest = Pin + Interest;Microsoft = Microcomputer + Software
  • 适用场景:希望名称直接传达产品功能组合

方法二:隐喻意象(Metaphor)

借用自然界、文化或日常事物作为品牌的象征。

  • 核心思路:找一个能传递品牌核心价值的意象
  • 经典案例:Amazon(如亚马逊河般广阔);Jaguar(速度与力量的象征)
  • 适用场景:希望名称有故事感和联想空间

方法三:拟声词(Onomatopoeia)

使用模拟声音的词汇,赋予品牌活力和记忆点。

  • 核心思路:寻找与产品体验相关的声音感觉
  • 经典案例:Zoom(快速移动的声音);Snap(清脆的咔嚓声)
  • 适用场景:需要朗朗上口、强记忆感的名称

方法四:缩写首字母(Acronym)

用关键词组的首字母或缩写形成简短品牌名。

  • 核心思路:从品牌全称中提取首字母,确保缩写可读
  • 经典案例:IBM = International Business Machines;BMW = Bayerische Motoren Werke
  • 适用场景:全称较长、需要简洁标识的品牌

方法五:外语借词(Foreign Borrowing)

从拉丁语、希腊语、日语等外语中借用含义优美的词汇。

  • 核心思路:在外语中寻找与品牌价值匹配的词根或词汇
  • 经典案例:Volvo(拉丁语"我滚动");Audi(拉丁语"听")
  • 适用场景:希望名称有国际感、文化底蕴或独特性

方法六:人名地名(Eponym / Toponym)

以创始人姓名、神话人物或地理名称命名。

  • 核心思路:选择有故事性或象征意义的人名/地名
  • 经典案例:Tesla(致敬尼古拉·特斯拉);Patagonia(南美洲巴塔哥尼亚高原)
  • 适用场景:希望品牌有传承感或地域特色

方法七:臆造新词(Coined Word)

完全创造一个无既有含义的新词,塑造独特品牌标识。

  • 核心思路:基于发音美感和可拼读性创造新词,兼顾品牌调性
  • 经典案例:Kodak(创始人偏好字母K);Xerox(基于希腊语"干"的变形)
  • 适用场景:追求强独特性和商标注册优势

方法八:谐音双关(Pun / Wordplay)

利用谐音、变体拼写或双关语创造有趣且独特的名称。

  • 核心思路:将常见词做创意变形(去字母、换拼写、谐音替换)
  • 经典案例:Flickr(flicker 去 e);Tumblr(tumble 去 e);Lyft(lift 的变体)
  • 适用场景:面向年轻用户、强调创意和趣味性

输出格式

对用户的每次请求,按以下结构输出 8 个品牌名候选:

## 🏷️ 品牌命名方案

### 1. [品牌名] — 组合造词
- **含义**:[解释名称的来源和含义]
- **命名逻辑**:[说明由哪两个词组合而来,以及为何选择这组词]
- **域名建议**:[brandname].com / [brandname].io / [brandname].co 等,标注推荐首选

### 2. [品牌名] — 隐喻意象
- **含义**:[解释隐喻来源和品牌联想]
- **命名逻辑**:[说明意象与产品之间的关联]
- **域名建议**:...

### 3. [品牌名] — 拟声词
...

### 4. [品牌名] — 缩写首字母
...

### 5. [品牌名] — 外语借词
...

### 6. [品牌名] — 人名地名
...

### 7. [品牌名] — 臆造新词
...

### 8. [品牌名] — 谐音双关
...

---

## 💡 综合推荐

根据您的产品特点和目标受众,我最推荐 **[品牌名]**,原因如下:
1. [推荐理由1]
2. [推荐理由2]
3. [推荐理由3]

Read the full file on GitHub · 165 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 165 lines · 131 tokens per session scan A f2fa56809668

Subscribe to this mod's changes

brand-naming-lab is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 2,051 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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