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startup-naming-pro启动命名专业人士

Agent Skill

startup-naming-pro 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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周安装

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:startup-naming-pro(启动命名专业人士)
来源仓库:https://github.com/371166758-qq/startup-naming-pro
安装命令:
openclaw skills install startup-naming-pro
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install startup-naming-pro

简介

startup-naming-pro 基于语言科学和商标规则生成并评估初创公司名称。

  • 适用于品牌命名、产品起名及商标可用性检查等场景。
  • 通过关键词输入获取候选名称列表,支持域名与商标联合筛查。
  • 需确认 API 权限与数据源范围,避免生成侵权或已注册商标名称。
  • 建议结合本地法律数据库二次核验,确保名称合规可用。

SKILL.md

name
Startup Naming Pro
description
Generate and evaluate brand, product, and startup names using linguistic science, cultural awareness, trademark heuristics, and domain availability principles. Covers naming frameworks (descriptive, abstract, coined, metaphorical), linguistic analysis, and cross-cultural safety checks. Use when naming a new product, company, brand, feature, or project.

Startup Naming Pro

Systematic brand and product naming with linguistic rigor and business sense.

Naming Categories

1. Descriptive (描述型)

Directly describes what the product does.

  • Pros: Instant understanding, good for SEO
  • Cons: Generic, hard to trademark, limiting
  • Examples: General Electric, American Airlines, PayPal
  • Use when: Utility matters more than brand personality (B2B tools, infrastructure)

2. Abstract / Coined (造词型)

Invented words with no prior meaning.

  • Pros: Unique, trademark-friendly, ownable
  • Cons: Needs marketing investment to establish meaning
  • Examples: Kodak, Rolex, Hulu, Spotify
  • Use when: Building a category-defining brand

3. Metaphorical (隐喻型)

Uses imagery or concepts from other domains.

  • Pros: Memorable, story-rich, emotionally resonant
  • Cons: Meaning may not be immediately obvious
  • Examples: Amazon (vast), Nike (victory), Stripe (simple + bold)
  • Use when: Emotional connection matters more than literal description

4. Compound / Blended (复合型)

Combines two words or word parts.

  • Pros: Fresh but recognizable, compact
  • Cons: Can feel contrived if overdone (-ify, -ly fatigue)
  • Examples: Facebook, Netflix, Pinterest, Instagram
  • Use when: Want to evoke two concepts simultaneously

Evaluation Framework

Score each name candidate on these dimensions (1-10):

DimensionWeightWhat to Check
Memorability25%Can you recall it after hearing it once?
Pronounceability20%Can a 5-year-old say it? Can non-native speakers?
Brevity15%Ideally 2-3 syllables, under 10 characters
Uniqueness15%Google it — is it dominated by other results?
Domain potential10%Is the .com available or acquirable?
Cultural safety10%Does it mean anything offensive in major languages?
Trademark viability5%Does it conflict with existing marks in the category?

Minimum passing score: 6.5/10 weighted average. Don't ship below this.

Workflow

1. Brief

Gather from the user:

  • What does the product/company do?
  • Target audience and geography?
  • Desired brand personality (playful, serious, luxurious, technical)?
  • Any constraints (must include a word, must start with a letter, budget for domain)?
  • Competitors to differentiate from?

2. Generate

Produce 10-15 candidates across all 4 naming categories. Use these techniques:

Linguistic tricks:

  • Alliteration: PayPal, BlackBerry, Best Buy
  • Repetition:滴滴, TikTok, WeChat → We
  • Rhyme: Reese's, Lean Cuisine, 7-Eleven
  • Ending -ify: Shopify, Spotify (→ overused, use sparingly)
  • Ending -ly: Weebly, Bitly (→ avoid)
  • Latin/Greek roots: Acer (sharp), Volvo (I roll), Sony (sonus/sound)

Cross-language mining:

  • Find words with positive meanings across cultures
  • Check translations in Chinese, Japanese, Arabic, Spanish, French, Hindi
  • A word meaning "beautiful" in one language may mean "garbage" in another

3. Evaluate

Apply the scoring framework above. Rank candidates. Present top 5 with:

  • Name + category
  • Rationale (why it works)
  • Potential tagline pairing
  • Risk flags (if any)
  • Domain availability heuristic (.com, .io, .ai, .co options)

4. Refine

Based on feedback:

  • "More abstract" → shift toward coined words
  • "More fun" → explore portmanteaus and playful sounds
  • "More premium" → Latin roots, soft consonants, longer syllable counts

Linguistic Pitfalls

IssueExampleWhy It Fails
Hard consonant clusters"Strplx"Unpronounceable
Ambiguous vowel"Fower" (flower? four-er?)Confusing
Cultural offense"Pajero" (Spanish slang)Brand damage
Too generic"Cloud Storage Pro"No brand equity
TMI in name"Enterprise Customer Relationship Management System"Not a name, it's a sentence
Trendy prefix"AiSomething", "SmartSomething"Forgettable, dates fast

Cross-Cultural Safety Check

Always test a name against:

  1. Chinese: Does it sound like a homophone with negative meaning?
  2. Japanese: Any problematic readings?
  3. Spanish: Common slang conflicts?
  4. Arabic: Does it resemble a word with negative connotation?
  5. Hindi: Any unfavorable associations?

Real-world failures: Mitsubishi Pajero, Chevy Nova (no va = "doesn't go"), Nokia Lumia (prostitute in Spanish slang), Ford Kuga (sounds like "cougar" and also problematic in some Chinese dialects).

Output Template

## Name: [Name]
- **Category**: [Descriptive/Abstract/Metaphorical/Compound]
- **Score**: [X.X]/10
- **Pronunciation**: [IPA + phonetic spelling]
- **Meaning**: [Literal meaning, if any]
- **Rationale**: [Why this works for the brief]
- **Tagline pair**: "[Name] — [tagline]"
- **Domain options**: [available alternatives]
- **Risk flags**: [none / specific concerns]

Prompt Triggers

  • "Help me name my startup"
  • "Generate brand names for a [type] product"
  • "Evaluate this name: [name]"
  • "I need a creative name that sounds [adjective]"

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

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能力 5

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