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Agent Skill · 研究检索

language(language 搜索)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

language 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,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 45,481。

总安装 847周安装 36GitHub Stars 37下载 297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
unknown

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:language(language 搜索)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/language
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill language
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/majesticlabs-dev/majestic-marketplace --skill language

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。

用于辅助测试设计、自动化测试和用例整理,支持回归验证。适合编写单元测试、端到端测试或根据失败日志定位问题。language 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用时应确认项目测试框架、运行命令和夹具数据,避免误改逻辑。涉及浏览器或外部服务时,需区分本地模拟、测试环境与生产环境。

安装方式:通过 npx 从 GitHub 仓库添加技能。

来源仓库内路径:skills/language

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/majesticlabs-dev/majestic-marketplace --skill…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

language 怎么安装?

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

language 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。

language 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

language 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

language 用的人多吗?

公开数据是累计安装 847 次,近一周安装 36 次,下载 297 次,GitHub 37 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。

language 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
language

language 搜索 · 本页

84737需要联网未明确有提醒

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

Customer Language Mastery

Research how your customers actually talk, then use their exact language across Product and Marketing to create instant resonance.

The Core Principle

First Law of Customer Physics: A customer at rest will remain at rest unless you provide a motivating, attention-grabbing force.

Language is that force. Your words must bypass the customer's natural filters by creating resonance — the "OH YEAH! THAT'S FOR ME!" reaction.

If your language is bland or tries to appeal to everyone, it exerts no gravitational force and gets ignored.

Where Customer Language Applies

DomainExamples
Product UIButton labels, error messages, empty states, onboarding
Feature NamingWhat you call features determines if users understand them
DocumentationGuides, tooltips, help text
Settings/OptionsHow you frame choices affects decisions
NotificationsPush, email, in-app alerts
MarketingLanding pages, emails, ads, social

Conversation Starter

Use AskUserQuestion to gather context:

  1. Who is your target audience? (job title, industry, experience level)
  2. What problem does your product solve?
  3. What copy needs work? (Product UI, landing page, feature naming, etc.)
  4. Do you have existing customer conversations? (support tickets, reviews, interviews)

Part 1: Sales Safari — Finding Watering Holes

A watering hole is anywhere your target audience gathers to discuss problems, share advice, or seek help.

Watering Hole Keywords

Combine audience terms with these keywords to find communities:

CategoryKeywords
Communityforum, community, group, mailing list, chat, Discord, Slack
Help-Seekinghelp, problems, advice, questions, FAQs, support
Learningtutorial, resources, guide, best practices, how to
Evaluationreviews, comparison, best, vs, alternative
Discussiondiscussions, sharing, experiences, stories
SocialTwitter/X chat, Facebook Group, subreddit, LinkedIn Group

Search Patterns

[audience term] + forum
[audience term] + community
[audience term] + "I'm struggling with"
[audience term] + "how do you handle"
[audience term] + site:reddit.com
[audience term] + site:news.ycombinator.com
[problem] + "anyone else"
[problem] + "is it just me"

Platform-Specific Searches

PlatformSearch Pattern
Redditsite:reddit.com [audience] [problem]
Hacker Newssite:news.ycombinator.com [topic]
Stack Overflowsite:stackoverflow.com [technology] [problem]
Product Huntsite:producthunt.com [category] discussions
G2/Capterrasite:g2.com [competitor] reviews
Twitter/X[problem] filter:replies min_faves:10

Part 2: Extracting Customer Language

Once you find watering holes, extract these language patterns:

1. Pain Language

Words and phrases expressing frustration, anxiety, powerlessness, or uncertainty.

Listen for:

  • "I hate when..."
  • "It drives me crazy that..."
  • "I'm so frustrated with..."
  • "Why can't I just..."
  • "I've tried everything but..."
  • "I'm worried about..."
  • "I don't know how to..."

Extract: The exact phrases, not your interpretation.

2. Desire Language

Words expressing what they want but don't have.

Listen for:

  • "I wish..."
  • "If only..."
  • "I just want to..."
  • "It would be amazing if..."
  • "My dream is..."

3. Jargon & Insider Terms

Every audience has vocabulary that signals belonging.

Types of jargon:

  • Technical terms they use (not textbook definitions)
  • Abbreviations unique to their world
  • Slang that identifies insiders
  • Phrases that have specific meaning in context

Why it matters: Using insider language creates instant trust. Wrong language signals "outsider."

4. Recommendation Patterns

How do they give each other advice?

Listen for:

  • "You should try..."
  • "What worked for me was..."
  • "Read this..."
  • "Check out..."
  • "Think about it this way..."

Use these structures in your copy to feel like peer advice, not sales pitch.


Part 3: Language Extraction Template

When researching, fill this out:

## Language Research: [Audience]

### Watering Holes Found
- [Platform]: [Community name] - [Why relevant]
- [Platform]: [Community name] - [Why relevant]

### Pain Phrases (Exact Quotes)
| Quote | Emotion | Frequency |
|-------|---------|-----------|
| "[exact quote]" | frustrated/anxious/desperate | common/rare |

### Desire Phrases (Exact Quotes)
| Quote | What They Want |
|-------|----------------|
| "[exact quote]" | [interpretation] |

### Insider Jargon
| Term | What It Means to Them |
|------|----------------------|
| [term] | [contextual meaning] |

### Recommendation Patterns
- "[How they give advice]"
- "[Structure they use]"

### Words They NEVER Use
- [terms that signal outsider]

Part 4: Worldview Resonance

Effective language expresses a worldview — shared beliefs and values.

Take a Stand

Polarizing language attracts the right people and repels the wrong ones.

Weak (appeals to everyone, resonates with no one):

"A better way to manage projects"

Strong (takes a stand):

"Project management for teams who hate project management"

Worldview Crossover

Find the overlap between YOUR worldview and your CUSTOMER'S worldview:

Your Beliefs          Customer's Beliefs
     \                    /
      \                  /
       \                /
        [CROSSOVER ZONE]
        This is where your
        messaging lives

Positioning Through Language

Audience TypeLanguage Signals
Professional/Enterprise"controls", "governance", "compliance", "scalable"
Startup/Indie"ship fast", "no bloat", "just works", "for builders"
Creative"beautiful", "craft", "artisan", "curated"
Technical"API-first", "extensible", "open source", "self-hosted"
Budget-conscious"affordable", "free tier", "no hidden fees", "transparent"

Part 5: The "OH YEAH!" Test

Before shipping any copy, run this test:

Does your language...

Criterion✓/✗
Use words your customers actually use?
Express a worldview they share?
Address a pain they've expressed (in their words)?
Feel like advice from a peer, not a pitch?
Repel people who aren't your customer?
Make the right person say "That's for me!"?

Red Flags

  • ❌ Afraid of offending anyone → too weak
  • ❌ Using industry jargon they don't use → outsider signal
  • ❌ Describing features, not outcomes → no resonance
  • ❌ Corporate-speak when audience is casual → tone mismatch
  • ❌ Casual when audience is professional → credibility loss

Part 6: Application Examples

Product UI

Before (generic):

Error: Invalid input

After (using customer language):

Hmm, that doesn't look right. Double-check the format?

Before (feature-focused):

Enable notifications

After (outcome-focused, using desire language):

Never miss an update from your team

Feature Naming

Before (technical):

Automated Workflow Engine

After (using customer problem language):

"Set it and forget it" automation

Empty States

Before (bland):

No projects yet

After (using desire language):

Ready to ship something? Create your first project.

Error Messages

Before (blame user):

Invalid email address

After (helpful, peer tone):

That email looks incomplete — missing something after the @?

Landing Page Headline

Before (feature-focused):

All-in-one project management platform

After (pain language + worldview):

Finally, project management that doesn't feel like a second job

Output Format

When applying this skill, deliver:

## Customer Language Analysis

### Research Summary
- **Watering holes searched:** [list]
- **Quotes extracted:** [count]
- **Key insight:** [one sentence]

### Language Patterns Discovered

**Pain phrases:**
- "[exact quote]" → Use for: [where to apply]

**Desire phrases:**
- "[exact quote]" → Use for: [where to apply]

**Insider jargon:**
- [term]: [meaning] → Use for: [where to apply]

### Recommended Copy Changes

| Location | Before | After | Why |
|----------|--------|-------|-----|
| [UI element/page] | [current] | [recommended] | [language pattern used] |

### "OH YEAH!" Test Results
[Run the test on recommended copy]

When to Use This vs Other Skills

Use language when...Use other skills when...
Researching how customers talkNeed emotional trigger words (power-words)
Writing product UI copyNeed full landing page (landing-page-builder)
Naming featuresNeed brand names (namer agent)
Improving resonanceNeed SEO optimization (seo-audit)
Extracting voice of customerNeed to find communities (customer-discovery)

What This Skill Does NOT Do

  • Replace user research interviews
  • Guarantee conversion (testing required)
  • Provide word lists (see power-words for that)
  • Write full marketing campaigns

平台分布

Codex

35.42%
按下载量换算105

Claude

32.87%
按下载量换算98

Cursor

17.87%
按下载量换算53

Gemini CLI

9.58%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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