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naming-6-gates命名 6 个门

Agent Skill

naming-6-gates 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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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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

unknown

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:naming-6-gates(命名 6 个门)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/naming-6-gates
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill naming-6-gates
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill naming-6-gates

简介

用于查找、检索和筛选相关信息,支持基于关键词或任务场景定位目标内容。

  • 适用于需要快速聚合资料或验证命名规范的智能体工作流场景。
  • 通过命令行工具实现信息提取,输出候选结果供人工筛选或自动处理。
  • 安装前建议检查仓库活跃度与权限设置,留意是否涉及外部 API 调用。
  • naming-6-gates 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Naming 6-Gates Protocol

Overview

Brand naming in 2026 is architectural engineering, not creative brainstorming. A name must be:

  1. Machine-compatible - tokenized efficiently by LLMs, citeable by AI engines
  2. Legally defensible - clear of trademark conflicts across jurisdictions
  3. Voice-ready - pronounceable by assistants, invocable without friction
  4. Narratively loaded - capable of carrying a brand story

Core principle: Optimize for AEO (Answer Engine Optimization) first, aesthetics second.

When to Use

  • Creating a new brand, product, or company name
  • Replacing a name due to trademark conflict
  • Expanding internationally (multilingual requirements)
  • Launching a voice-activated product or skill
  • Naming for AI-first discovery (ChatGPT, Perplexity, Gemini recommendations)

When NOT to Use

  • Internal project codenames (no legal/AEO requirements)
  • Temporary campaign names
  • Personal projects with no commercial intent

The 6-Gate Naming Process

digraph naming_process {
    rankdir=TB;
    node [shape=box];

    brief [label="1. BRIEF\nDefine constraints"];
    generate [label="2. GENERATE\nAI-assisted creation"];
    filter [label="3. LINGUISTIC FILTER\nMultilingual stress test"];
    legal [label="4. LEGAL FILTER\nTrademark screening"];
    aeo [label="5. AEO FILTER\nEntity strength test"];
    story [label="6. STORY FILTER\nNarrative potential"];

    brief -> generate -> filter -> legal -> aeo -> story;

    filter -> generate [label="fails" style=dashed];
    legal -> generate [label="conflicts" style=dashed];
    aeo -> generate [label="weak entity" style=dashed];
    story -> generate [label="no narrative" style=dashed];
}

Gate 1: BRIEF (Constraints Definition)

Define hard constraints BEFORE generating:

ConstraintTargetWhy
Length7-8 letters maxMobile icons, cognitive load, tokenization
Syllables1-3 syllablesVoice invocation, memorability
Character setA-Z onlyDomain availability, global keyboards
Forbidden sequencesght, ough, silent lettersPronunciation barriers

Output format:

brief:
  max_letters: 8
  max_syllables: 3
  target_markets: [FR, ES, US, UK]
  nice_classes: [9, 35, 42]
  avoid_phonemes: [ʒ, θ, ð]  # Hard for non-native speakers
  competitor_names: [Notion, Figma, Linear]  # Style reference
  forbidden_associations: [medical, financial, religious]

Gate 2: GENERATE (AI-Assisted Creation)

Use structured prompting with 5 typologies:

Typology 1: Analogical (Real-Word Transfer)

Words from unrelated domains applied to new context.

  • Examples: Apple (tech), Amazon (retail), Jaguar (auto)
  • Prompt: "Find words from [nature/mythology/geography] that evoke [core attribute]"

Typology 2: Metaphorical (Abstract Concept)

Abstract concepts made concrete.

  • Examples: Slack (workspace tension release), Notion (idea capture)
  • Prompt: "What single word captures the transformation from [pain] to [outcome]?"

Typology 3: Neologism (Invented Word)

New words with phonetic engineering.

  • Examples: Kodak, Xerox, Häagen-Dazs
  • Prompt: "Create a 2-syllable word with [plosive start] + [open vowel] + [soft ending]"

Typology 4: Portmanteau (Fusion)

Blend of two meaningful words.

  • Examples: Instagram (instant + telegram), Pinterest (pin + interest)
  • Prompt: "Blend [word1] + [word2] keeping recognition of both roots"

Typology 5: Empty Vessel

Meaningless but phonetically pleasing.

  • Examples: Rolex, Vimeo, Skype
  • Prompt: "Generate 5-letter combinations: CVCVC pattern, no existing meaning"

Generation Contract:

CONSTRAINTS:
- Max 8 letters
- Pronounceable in French, Spanish, English
- No existing trademark in Class 42
- Distinct from: [competitor list]

OUTPUT FORMAT per candidate:
- Name: [word]
- Typology: [1-5]
- Phonetic: /IPA transcription/
- Syllables: [count]
- Rationale: [1 sentence]

Gate 3: LINGUISTIC FILTER (Multilingual Stress Test)

Test each candidate across target markets:

Pronunciation Test

Run through TTS engines in 15+ languages:

  • Google TTS, Amazon Polly, Azure Speech
  • Listen for: mispronunciation, confusion, awkwardness

Cultural Connotation Check

Verify no negative meanings in:

  • Target market slang (TikTok, Douyin, RedNote trends)
  • Historical associations
  • Religious/political sensitivities
  • Homophones in local languages

Phonetic Hazards to Avoid

HazardExampleImpact
Silent letters"Knight"Voice assistant failure
Consonant clusters"Strengths"Non-native difficulty
Ambiguous vowels"Read" (reed/red)Confusion
Cross-language homophones"Gift" (poison in German)Negative association

Kill criterion: If TTS mispronounces in >2 target markets, reject.


Gate 4: LEGAL FILTER (Trademark Screening)

Phase 1: Quick Disqualification

  • Google: "[name] company" / "[name] brand" / "[name] trademark"
  • Domain check:.com,.co,.io,.fr,.eu
  • Social handles: Namechk scan all platforms

Phase 2: Formal Trademark Search

RegistryToolCheck For
FranceINPI data.inpi.frExact + phonetic similarity
EUEUIPO eSearch / TMviewSame Nice classes
USUSPTO TESSRegistered + pending
InternationalWIPO Global Brand DatabaseMadrid Protocol

Phase 3: AI-Assisted Similarity Detection

EUIPO "Early TM Screening" detects:

  • Phonetic similarity (sounds-like)
  • Visual similarity (looks-like)
  • Conceptual similarity (means-like)

Kill criterion: Any conflict in target Nice classes → reject.


Gate 5: AEO FILTER (Entity Strength Test)

A name must be recognizable as a distinct entity by AI systems.

Entity Strength Checklist

  • Unique token: Does the name tokenize as a single unit or get split?
  • No collision: Search "[name]" - does it return your intended context or noise?
  • Semantic boundaries: Can AI distinguish "[name] the company" from generic usage?

Testing AEO Strength

Prompt to test:
"What is [NAME]?"

GOOD response: "I don't have information about [NAME]" (clean slate)
BAD response: "[NAME] is a common word meaning..." (collision)
BAD response: "[NAME] could refer to several things..." (ambiguity)

Keyword Difficulty Check

Use Semrush/Ahrefs:

  • Keyword difficulty < 30 = good
  • Keyword difficulty > 60 = buried by generics

Kill criterion: If name collides with high-volume generic term, reject.


Gate 6: STORY FILTER (Narrative Potential)

A name must be "tell-able" - capable of carrying a brand story.

The 5 Narrative Pillars Test

For each candidate, verify you can build:

PillarQuestionExample Answer Required
Origin story"Why this name?"Must have a genuine, shareable reason
Belief storyWhat does the brand stand for?Values must connect to name
Product truthWhat does it actually do?Name should hint at function
TransformationWhat changes for the customer?Before/after must be nameable
CultureWhat kind of community forms?Name should enable identity

Empty Vessel vs. Loaded Name

  • Empty vessel (Kodak, Google): Brand fills meaning over time
  • Loaded name (Instagram, Airbnb): Meaning is built-in

Both work. But you must choose consciously and build accordingly.

Vocal Signature Test

Say the name aloud 10 times. Ask:

  • Does it feel good in the mouth?
  • Would customers enjoy saying it?
  • Does it have a "sticky" quality?

Kill criterion: If you can't tell a compelling origin story, reject.


Voice Assistant Constraints (2026)

AssistantInvocation RulesRejection Risks
Alexa2+ words required (unless trademarked)Single generic words
SiriMust be phonetically distinctConfusion with system commands
GoogleStrong Knowledge Graph presence neededNames too similar to famous brands
BixbyAvoid wake-word conflicts"Open", "cancel", common verbs

Test procedure:

  1. Say "[Name], do [action]" to each assistant
  2. Note recognition rate
  3. Reject if < 80% accurate invocation

Output: Naming Dossier

For the final candidate, produce:

## [NAME] - Naming Dossier

### Basic Info
- **Name:** [word]
- **Typology:** [1-5]
- **Phonetic:** /IPA/
- **Length:** X letters, Y syllables

### Linguistic Clearance
- FR pronunciation: [pass/fail + notes]
- ES pronunciation: [pass/fail + notes]
- EN pronunciation: [pass/fail + notes]
- Cultural flags: [none / list]

### Legal Clearance
- INPI (FR): [clear / conflict]
- EUIPO (EU): [clear / conflict]
- USPTO (US): [clear / conflict]
- Domains available: [list]
- Social handles: [list]

### AEO Score
- Entity uniqueness: [1-10]
- Keyword difficulty: [score]
- Tokenization: [single/split]

### Narrative Potential
- Origin story hook: [1 sentence]
- Brand values connection: [1 sentence]
- Community identity: [suggested demonym]

### Voice Readiness
- Alexa: [pass/fail]
- Siri: [pass/fail]
- Google: [pass/fail]

### Recommendation
[APPROVED / NEEDS WORK / REJECTED]
[Final reasoning]

Common Mistakes

MistakeWhy It FailsFix
Starting with brainstormingGenerates unusable namesStart with constraints (Gate 1)
Skipping TTS testVoice assistant failuresAlways test pronunciation
Ignoring Nice class overlapTrademark conflictsCheck specific classes, not just exact matches
Choosing descriptive namesWeak AEO, hard to trademarkPrefer distinctive/invented
No narrative testBrand can't tell its storyAlways verify storytelling potential

Quick Reference

The 7-8 Letter Rule: Shorter = better for mobile, voice, memory, tokenization.

Phonetic Gold Standard: CVCV pattern (consonant-vowel-consonant-vowel) works globally.

AEO Priority: If AI can't cite you as a distinct entity, you don't exist in 2026.

Empty Vessel Strategy: Meaningless names (Kodak) require more brand-building but face fewer conflicts.

Voice-First: If Alexa can't invoke it, 8.4 billion assistants can't recommend it.


What Claude Does vs What You Decide

Claude handlesYou provide
Generating candidates by typologyBrief constraints (markets, classes)
Running linguistic stress testsFinal pronunciation judgment
Checking trademark databasesLegal professional validation
Evaluating AEO/entity strengthStrategic brand direction
Producing naming dossierFinal selection and approval

Skill Boundaries

This skill excels for:

  • Brand, product, or company naming
  • Names requiring international deployment
  • Voice-assistant compatible names
  • AI-discoverable entity creation

This skill is NOT ideal for:

  • Internal codenames → No legal/AEO requirements
  • Temporary campaign names → Overhead unnecessary
  • Personal projects → Simplified process sufficient

Skill Metadata

name: naming-6-gates
category: branding
version: 2.0
author: GUIA
source_expert: 6-Gate Protocol (AEO-first naming)
difficulty: advanced
mode: centaur
tags: [naming, branding, trademark, voice-assistant, aeo, entity]
created: 2026-02-03
updated: 2026-02-03

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Codex

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