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Agent Skill · 研究检索

startup-naming-pro(启动命名专业人士)

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。

startup-naming-pro 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 25,304。

总安装 3,802周安装 160GitHub Stars 公开资料未说明下载 1,331核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install startup-naming-pro;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

startup-naming-pro 怎么安装?

在终端执行 openclaw skills install startup-naming-pro。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

startup-naming-pro 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

startup-naming-pro 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

startup-naming-pro 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

startup-naming-pro 用的人多吗?

公开数据是累计安装 3,802 次,近一周安装 160 次,下载 1,331 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

startup-naming-pro 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
startup-naming-pro

启动命名专业人士 · 本页

3,802—权限未标注MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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]"

平台分布

OpenClaw

80.34%
按下载量换算1,069

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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