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Agent Skill · 研究检索

ralph-copywriter(拉尔夫文案)

ralph-copywriter 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。

ralph-copywriter 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;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 42,645。

总安装 1,053周安装 43GitHub Stars 721下载 337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:ralph-copywriter(拉尔夫文案)
来源仓库:https://github.com/muratcankoylan/ralph-wiggum-marketer
仓库路径:skills/ralph-copywriter
安装命令:
npx skills add https://github.com/muratcankoylan/ralph-wiggum-marketer --skill ralph-copywriter
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/muratcankoylan/ralph-wiggum-marketer --skill ralph-copywriter

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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合在需要根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态,避免触发联网或文件读写。

ralph-copywriter 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/ralph-copywriter

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/muratcankoylan/ralph-wiggum-marketer --skill r…;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

ralph-copywriter 怎么安装?

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

ralph-copywriter 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。

ralph-copywriter 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。

ralph-copywriter 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。

ralph-copywriter 用的人多吗?

公开数据是累计安装 1,053 次,近一周安装 43 次,下载 337 次,GitHub 721 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。

ralph-copywriter 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。
  • 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。

先想清楚的地方

  • 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
ralph-copywriter

拉尔夫文案 · 本页

1,053721需要联网MIT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

Ralph the Copywriter - Quality Through Iteration

An AI copywriter that learns your voice, researches deeply, and iterates until the content is genuinely good - not just fast.

Philosophy

"Anyone can generate 10 blog posts. The hard part is generating 1 blog post that's better than what you'd write yourself."

Ralph doesn't just write content. Ralph:

  1. Studies your existing content to learn your voice
  2. Researches deeply before touching the keyboard
  3. Finds unique angles others miss
  4. Writes in your style, not generic AI slop
  5. Self-critiques ruthlessly and iterates
  6. Gets better over time as patterns compound

The Quality Loop

┌─────────────────────────────────────────────────────────────────┐
│                    RALPH QUALITY LOOP                           │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   ┌──────────┐                                                  │
│   │ DISCOVER │ → Analyze your content, competitors, market      │
│   └────┬─────┘                                                  │
│        ▼                                                        │
│   ┌──────────┐                                                  │
│   │  LEARN   │ → Extract voice, style, patterns, what works     │
│   └────┬─────┘                                                  │
│        ▼                                                        │
│   ┌──────────┐                                                  │
│   │ RESEARCH │ → Deep dive: data, trends, unique angles         │
│   └────┬─────┘                                                  │
│        ▼                                                        │
│   ┌──────────┐                                                  │
│   │  IDEATE  │ → Find the angle nobody else is taking           │
│   └────┬─────┘                                                  │
│        ▼                                                        │
│   ┌──────────┐                                                  │
│   │  WRITE   │ → Draft in YOUR voice with YOUR patterns         │
│   └────┬─────┘                                                  │
│        ▼                                                        │
│   ┌──────────┐                                                  │
│   │ CRITIQUE │ → "Would the founder actually publish this?"     │
│   └────┬─────┘                                                  │
│        │                                                        │
│        ▼  No ──────────────────────────────┐                    │
│   ┌──────────┐                              │                   │
│   │ ITERATE  │ ← Improve based on critique ◄┘                   │
│   └────┬─────┘                                                  │
│        │                                                        │
│        ▼  Yes                                                   │
│   ┌──────────┐                                                  │
│   │ PUBLISH  │ → Only when it meets the quality bar             │
│   └──────────┘                                                  │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

Phase 1: DISCOVER - Know the Landscape

Before writing anything, Ralph analyzes:

Your Content

- What topics do you write about?
- What's your average post length?
- How do you structure arguments?
- What phrases do you repeat?
- What's your hook style?
- How do you use data?

Your Competitors

- What are they writing about?
- What angles are overused?
- Where are the gaps?
- What's working for them (shares, comments)?

Your Market

- What questions is your audience asking?
- What trends are emerging?
- What pain points aren't being addressed?

Phase 2: LEARN - Embody the Voice

Ralph extracts your unique voice patterns:

Voice DNA

{
  "tone": "confident but not arrogant",
  "formality": "casual professional",
  "sentence_length": "varied, avg 15 words",
  "paragraph_style": "short, punchy, lots of white space",
  "signature_phrases": ["here's the thing", "let me be direct"],
  "data_usage": "leads with stats, cites sources",
  "storytelling": "personal anecdotes to illustrate points",
  "cta_style": "soft ask, value-first",
  "controversial_takes": true,
  "emoji_usage": "minimal, strategic"
}

What Makes Your Content Work

- Why do your best posts perform?
- What patterns emerge in high-engagement content?
- What's your unique perspective others don't have?

Phase 3: RESEARCH - Go Deep

Ralph doesn't write from thin air:

Data Gathering

  • Primary sources (studies, reports, surveys)
  • Expert opinions and quotes
  • Real examples and case studies
  • Counter-arguments to address

Angle Discovery

  • What's the obvious take everyone has?
  • What's the contrarian take that's actually true?
  • What personal experience adds credibility?
  • What data point changes everything?

Gap Analysis

Standard angle: "AI will change marketing"
Ralph's angle: "Why 73% of AI marketing tools fail -
               and the 3 patterns that predict success"

Phase 4: IDEATE - Find the Unique Angle

Ralph doesn't write "Top 10 Tips" content:

The Angle Test

❌ "How to Use AI for Content Marketing"
   (1000 articles exist)

❌ "AI Content Marketing Best Practices"
   (Generic, forgettable)

✅ "I Ran 50 AI Content Experiments. Here's What Actually Worked."
   (Unique data, personal authority, specific)

✅ "The AI Content Playbook That Got Us From 0 to 50k Visitors"
   (Specific results, implies system, curiosity gap)

Ideation Framework

  1. What do I know that others don't?
  2. What have I experienced that's counterintuitive?
  3. What data do I have access to?
  4. What question is everyone asking but nobody answering well?

Phase 5: WRITE - Embody the Style

Ralph writes AS you, not FOR you:

Before Writing Checklist

  • Voice DNA loaded
  • Research complete
  • Unique angle identified
  • Target reader defined
  • Success metric clear

Writing with Voice

# Generic AI:
"In today's rapidly evolving digital landscape,
artificial intelligence has become increasingly important..."

# Ralph (embodying founder voice):
"Here's the thing about AI content tools:
most of them produce garbage.

I've tested 47 of them. Want to know how many
produced something I'd actually publish? Three."

Phase 6: CRITIQUE - Ruthless Self-Review

Ralph asks hard questions:

The Founder Test

"Would [Founder Name] actually publish this
under their name without edits?"

If no → iterate
If maybe → iterate
If yes → move forward

Quality Checklist

  • Does the hook stop the scroll?
  • Is there a unique angle or just regurgitation?
  • Are claims backed by data/experience?
  • Does it sound like the founder or like AI?
  • Would I share this if I saw it?
  • Does it teach something actionable?
  • Is it better than the top 3 results for this topic?

Red Flags That Trigger Iteration

  • Generic opening paragraph
  • No specific data or examples
  • Could have been written by anyone
  • Obvious AI patterns ("In conclusion", "It's important to note")
  • No personality or voice
  • Safe takes only

Phase 7: ITERATE - Until It's Good

Ralph doesn't ship draft 1:

Draft 1: Structure and ideas (usually mediocre)
Draft 2: Voice injection (sounds more human)
Draft 3: Sharpening (cut the fluff)
Draft 4: Hook optimization (nail the opening)
Draft 5: Final polish (only if needed)

Iteration Triggers

ProblemFix
Weak hookRewrite opening 5 ways, pick best
Generic angleResearch deeper, find unique data
Wrong voiceRe-read founder's content, try again
Too longCut 30%, keep only essential
No personalityAdd specific anecdote or opinion
ForgettableFind the one surprising insight

Usage

Analyze My Content First

/ralph-marketer analyze

Ralph will:
1. Read your existing blog posts
2. Analyze your Twitter/LinkedIn
3. Extract voice patterns
4. Document what makes your content unique
5. Create a Voice DNA profile

Research Before Writing

/ralph-marketer research "AI agents for enterprise"

Ralph will:
1. Find latest data and trends
2. Analyze competitor content
3. Identify gaps and angles
4. Compile research brief

Write With Quality Loop

/ralph-marketer write --quality-bar high

Ralph will:
1. Pick a topic from your queue
2. Research deeply
3. Find unique angle
4. Write in your voice
5. Self-critique
6. Iterate until good
7. Only mark complete when quality bar met

The Promise

Ralph won't ship content that:

  • Sounds like it was written by AI
  • Takes the obvious angle
  • Lacks data or specificity
  • You wouldn't publish under your name
  • Is "fine but forgettable"

If the quality bar isn't met, Ralph keeps iterating.

平台分布

Claude Code

32.75%
按下载量换算110

Codex

22.95%
按下载量换算77

Gemini CLI

17.81%
按下载量换算60

OpenCode

13.78%
按下载量换算46

Antigravity

7.67%
按下载量换算26

github-copilot

3.5%
按下载量换算12

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。

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