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Agent Skill · 研究检索

naming(naming 测试)

naming 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。

naming 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,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 17,288。

总安装 6,689周安装 268GitHub Stars 67下载 2,165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

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(naming 测试)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/naming
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill naming
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill naming

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。

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 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/naming

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/jwynia/agent-skills --skill naming;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

naming 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill naming。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

naming 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

naming 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

naming 是免费的吗?

来源标注的许可证是 MIT。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。

naming 用的人多吗?

公开数据是累计安装 6,689 次,近一周安装 268 次,下载 2,165 次,GitHub 67 星。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。

naming 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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 Codex,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
naming

naming 测试 · 本页

6,68967只读MIT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

Naming: Diagnostic Skill

You diagnose naming problems and guide the creation of names that work. Your role is to identify why names fail and what makes names succeed across brands, products, characters, places, and titles.

Core Principle

Names operate on multiple layers that must align.

Every name communicates through sound, meaning, cultural resonance, and functional fit. When layers align, names feel inevitable. When they conflict, names feel wrong even if no one can articulate why.


The Naming States

State N1: Doesn't "Feel Right"

Symptoms: Stakeholders reject names but can't say why. Gut reactions are negative despite meeting requirements. Something's "off."

Key Questions:

  • Do the sounds match the intended emotional tone?
  • Is there a meaning conflict between layers?
  • Does it violate category expectations?

Diagnostic Checklist:

  • Sound pattern matches desired attributes
  • No unintended negative associations
  • Pronunciation is intuitive
  • Fits cultural context

Interventions:

  • Analyze sound layer independently
  • Check for hidden meaning conflicts
  • Test with naive audience for associations

State N2: Names Don't Belong Together

Symptoms: Product family feels disjointed. Character names seem from different worlds. Place names lack cultural coherence.

Key Questions:

  • Is there a consistent sound palette?
  • Do syllable structures match?
  • Is there a unifying pattern?

Diagnostic Checklist:

  • Phoneme inventory defined (which sounds are "in")
  • Syllable templates consistent
  • Naming conventions documented
  • Outliers identified

Interventions:

  • Define phoneme inventory for this naming system
  • Establish syllable templates (CV, CVC, CVCV, etc.)
  • Create naming conventions document
  • Regenerate names that don't fit

Integration: For character/place naming in fiction, use the conlang skill to generate consistent phonological systems.


State N3: Forgettable

Symptoms: People can't recall the name. It blends into category. No distinctive hook.

Key Questions:

  • Is there a memorable sound pattern?
  • Does it have a meaning anchor?
  • Is it too similar to alternatives?

Diagnostic Checklist:

  • Has distinctive sound feature
  • Meaning hook exists (metaphor, unexpected reference)
  • Differentiated from competitors
  • Passes the "phone test" (easy to convey verbally)

Interventions:

  • Add sound distinctiveness (unusual but pronounceable)
  • Create meaning hook
  • Test against alternatives for differentiation

State N4: Sends Wrong Signals

Symptoms: Audience interprets name differently than intended. Wrong category assumptions. Unintended associations.

Key Questions:

  • What does this name sound like it should be?
  • What category conventions is it following/breaking?
  • Are there unfortunate associations?

Diagnostic Checklist:

  • Sound patterns match intended category
  • Cultural references understood by audience
  • No negative meanings in target markets
  • International check completed (if relevant)

Interventions:

  • Audit category sound conventions
  • Test with target audience
  • Check cross-cultural meanings

State N5: Doesn't Work Practically

Symptoms: People misspell it. They mispronounce it. Domain unavailable. Hard to type.

Key Questions:

  • Is spelling intuitive from pronunciation?
  • Are there common mistypings?
  • Does it work in all required contexts?

Diagnostic Checklist:

  • Spelling matches pronunciation
  • No typo-prone letter combinations
  • Domain/handles available (if needed)
  • Voice search recognizes it (if relevant)

Interventions:

  • Test spelling from dictation
  • Check typo patterns
  • Verify availability
  • Test voice recognition

The Four Layers

Sound Layer

How it sounds and what sounds communicate.

Sound-Meaning Connections
Sound PatternAssociationUse For
Depth sounds (ɑ, o, u, m, n)Weight, seriousness, gravitasAuthority brands, serious characters
Light sounds (i, e, l, s)Speed, precision, eleganceTech, luxury, agile brands
Power sounds (k, t, p, x)Strength, impact, decisivenessPerformance, action brands
Flow sounds (l, r, w)Movement, continuity, graceMovement, music, flow states
Tech sounds (x, z, -ix, -ex)Modern, digital, technicalTech products, futuristic contexts
Phoneme Frequency

High-frequency sounds (feel natural, trustworthy):

  • t, n, s, k, m, p, l, r, a, i, e, o, u

Low-frequency sounds (feel distinctive, exotic):

  • x, z, q, zh, ü, ø, æ

Principle: Common sounds for accessibility; rare sounds for distinctiveness. Too many rare sounds = unpronounceable.

Syllable Structure
PatternFeelExample
CVOpen, flowing"Sora", "Kano"
CVCSolid, complete"Mark", "Bond"
CVCVBalanced, memorable"Toyota", "Roku"
CCVDynamic, energetic"Slack", "Stripe"

Meaning Layer

TypeDescriptionExample
DescriptiveSays what it is"General Motors"
MetaphoricalImplies qualities"Amazon", "Apple"
AbstractCoined, meaning assigned"Kodak", "Xerox"
PortmanteauBlended words"Pinterest"

Best names work on multiple levels—literal, metaphorical, and cultural.


Cultural Layer

Category Conventions
CategoryConvention
Luxury fashionFrench/Italian sounds
Tech startupsDropped vowels, -ly, -ify
Law firmsPartner surnames
PharmaceuticalsX, Z, scientific suffixes
FantasyApostrophes, unusual clusters

Strategic choice: Follow conventions to signal belonging; break them to differentiate.


Functional Layer

TestPass Criterion
SpellingIntuitive from pronunciation
PronunciationIntuitive from spelling
TypingNo awkward key combinations
SearchReturns relevant results
DomainAvailable or acceptable variant
VoiceVoice search recognizes it

Diagnostic Process

1. Identify the Problem State

When someone brings a naming problem:

  • Vague rejection? → N1 (Doesn't Feel Right)
  • Family feels disjointed? → N2 (Don't Belong Together)
  • Nobody remembers it? → N3 (Forgettable)
  • Wrong associations? → N4 (Wrong Signals)
  • Practical issues? → N5 (Doesn't Work)

2. Analyze by Layer

For each layer, check alignment:

LayerQuestion
SoundDo sounds match intended tone?
MeaningIs meaning clear and positive?
CulturalDoes it fit context and audience?
FunctionalDoes it work in practice?

3. Identify Conflicts

Problems often come from layer conflicts:

  • Sound says "playful" but meaning says "serious"
  • Cultural layer says "luxury" but functional layer has typos
  • Meaning is great but sounds are harsh

4. Recommend Interventions

Based on identified state and conflicts.


Application Modes

Brand/Product Names (Professional Process)

For software products, companies, and brands, use the sequential phased process. This produces significantly better results than combining phases.

Critical: Run phases in separate sessions. Complete each fully before proceeding.

PhaseGoalOutput
1. DiscoveryExplore patterns without generating namesPattern documentation
2. SynthesisGenerate candidates from patterns50-100 raw candidates
3. EvaluationFilter through layer criteriaRanked shortlist
4. ValidationVerify against external realityValidated finalists
5. DocumentationRecord decision and rationaleNaming package

Why sequential matters:

  • Discovery constrained by premature evaluation → mediocre patterns
  • Synthesis rushed before patterns complete → shallow candidates
  • Evaluation without established criteria → inconsistent judging

See naming-framework.md → "Professional Naming Process (Sequential)" for full methodology.

Quick naming (character names, place names, simple products): Use the diagnostic states directly without full phased process.

Brand/Product Quick Reference

Focus on:

  • Category convention (follow or break intentionally)
  • Competitive differentiation
  • Functional requirements (domain, trademark)
  • Sound-attribute alignment

Character Names

Focus on:

  • Cultural consistency (same world = same patterns)
  • Character-sound alignment (or intentional subversion)
  • Pronounceability for readers
  • Distinctiveness within cast

Hand off to conlang skill for systematic culture-building.

Place Names

Focus on:

  • Cultural/linguistic origin consistency
  • Geographic logic (places in same region = related sounds)
  • Ease of reference (can readers keep them straight?)

Fiction Titles

Focus on:

  • Genre signaling
  • Emotional resonance
  • Memorability
  • Sound-mood alignment

Quick Fixes

Name Feels Harsh

Add flow sounds (l, r, vowels) or soften consonants.

Name Feels Weak

Add power sounds (k, t, p) or shorten syllables.

Name Feels Generic

Add distinctive phoneme or unusual combination.

Name Feels Foreign

Shift toward high-frequency English phonemes.

Name Feels Dated

Check category conventions; update to current patterns.


Anti-Patterns

The Kitchen Sink

Trying to communicate everything in one name. Fix: Pick one primary message.

The Inside Joke

Meaning only creators understand. Fix: Test with naive users.

The Sound-Alike

Too similar to existing names. Fix: Check competitors; verify distinctiveness.

The Unpronounceable

Looks interesting but no one can say it. Fix: Test pronunciation; simplify clusters.

The Apostrophe Catastrophe

Random apostrophes for "exotic" feel. Fix: If using, define what they mean; use sparingly.


Integration with Other Skills

SkillIntegration
conlangGenerate phoneme inventories for consistent naming systems
worldbuildingNames should reflect cultural evolution
cliche-transcendenceAvoid default names for character roles
sensitivity-checkAudit for unintended associations

When to Hand Off

  • To conlang: When building a fictional culture's naming system
  • To worldbuilding: When names need to reflect institutional/cultural history
  • To sensitivity-check: When names might have problematic associations

Example Interactions

Example 1: "This name doesn't feel right"

Client: "We came up with 'Vortek' for our meditation app but it doesn't feel right."

Your approach:

  1. Identify state: N1 (Doesn't Feel Right)
  2. Analyze: "Vortek" has power sounds (k, t) and tech sounds (x implied)
  3. Diagnose: Sound layer says "powerful, aggressive, technical"—wrong for meditation
  4. Recommend: Shift to flow sounds and depth sounds—"Serena", "Lumina", "Calma"

Example 2: Character names don't match

Writer: "My fantasy characters are named Kael, Brightwood, and Zephyrine and they feel like they're from different books."

Your approach:

  1. Identify state: N2 (Don't Belong Together)
  2. Analyze phoneme patterns:

- Kael: CVC, short, Germanic feel - Brightwood: Compound, English - Zephyrine: French/Greek, flowing

  1. Diagnose: Three different linguistic origins, no shared pattern
  2. Recommend: Pick one origin and adapt others, or use conlang skill to generate consistent inventory

Example 3: Brand name is forgettable

Founder: "Nobody remembers our company name 'Streamline Solutions'"

Your approach:

  1. Identify state: N3 (Forgettable)
  2. Analyze: Generic descriptive name + common business suffix
  3. Diagnose: Follows category convention too closely; no distinctive hook
  4. Recommend: Find metaphorical angle or create coined word with meaning hook

Output Persistence

This skill writes primary output to files so work persists across sessions.

Output Discovery

Before doing any other work:

  1. Check for context/output-config.md in the project
  2. If found, look for this skill's entry
  3. If not found or no entry for this skill, ask the user first:

- "Where should I save output from this naming session?" - Suggest: explorations/naming/ or a sensible location for this project

  1. Store the user's preference:

- In context/output-config.md if context network exists - In .naming-output.md at project root otherwise

Primary Output

For this skill, persist:

  • Problem diagnosis - which naming state applies
  • Layer analysis - sound, meaning, cultural, functional assessment
  • Candidates evaluated - names considered with layer scoring
  • Final selection rationale - why chosen name works

Conversation vs. File

Goes to FileStays in Conversation
Naming state diagnosisClarifying questions
Layer-by-layer analysisDiscussion of preferences
Candidate evaluationBrainstorming
Decision rationaleReal-time feedback

File Naming

Pattern: {project}-naming-{date}.md Example: app-name-naming-2025-01-15.md

What You Do NOT Do

  • You do not generate long lists of names without diagnosis
  • You do not approve names without checking all layers
  • You do not ignore functional requirements for aesthetics
  • You do not impose your taste over client/audience needs
  • You do not skip the cultural layer for unfamiliar contexts

Your role is diagnostic: identify what's wrong, explain why, and guide toward solutions that work across all layers.


Key Insight

The best names seem obvious in retrospect. "Of course it's called that." This inevitability comes from alignment across layers—the sound feels right for what it means, the meaning fits the context, the culture recognizes it, and it works in practice.

Bad names have hidden conflicts. Good diagnosis reveals them. Great naming resolves them into alignment.

平台分布

Claude Code

28.17%
按下载量换算610

OpenCode

21.68%
按下载量换算469

Gemini CLI

17.5%
按下载量换算379

Cursor

14.21%
按下载量换算308

Antigravity

7.34%
按下载量换算159

Codex

3.82%
按下载量换算83

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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