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Agent Skill · 研究检索

llm-optimized-content(LLM optimized 内容)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

llm-optimized-content 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 34,271。

总安装 2,252周安装 92GitHub Stars 85下载 721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:llm-optimized-content(LLM optimized 内容)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/llm-optimized-content
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill llm-optimized-content
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 llm-optimized-content

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。

用于辅助文档、README、Markdown 和内容稿件的整理与改写。可提炼结构、补齐章节、统一术语或整合零散材料为可读文档。通过 npx skills add 命令从指定 GitHub 仓库安装使用。使用时需保留项目事实,避免将未确认信息写成确定结论。

llm-optimized-content 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/llm-optimized-content

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/guia-matthieu/clawfu-skills --skill llm-optimi…;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

llm-optimized-content 怎么安装?

在终端执行 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill llm-optimized-conten…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

llm-optimized-content 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。

llm-optimized-content 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。

llm-optimized-content 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。

llm-optimized-content 用的人多吗?

公开数据是累计安装 2,252 次,近一周安装 92 次,下载 721 次,GitHub 85 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。

llm-optimized-content 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。
  • 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

  • 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
llm-optimized-content

LLM optimized 内容 · 本页

2,25285需要联网未明确通过

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

LLM-Optimized Content & GEO

Create content optimized for AI-powered search using Generative Engine Optimization (GEO) principles.

Purpose

Create content optimized for both traditional search engines AND AI/LLM-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude) using Generative Engine Optimization (GEO) principles.


What is GEO?

Generative Engine Optimization = Practices to ensure AI models:

  1. UNDERSTAND your content
  2. Judge it RELEVANT and RELIABLE
  3. USE it to formulate direct responses

Strategic Importance: Gartner predicts 25% drop in traditional search volume by 2026. Queries now average 23 words (vs. 4 before).


SEO vs GEO: Critical Difference

CriteriaSEO (Traditional)GEO (New Frontier)
ObjectiveRank page on Google SERPBecome the SOURCE in AI response
MetricPosition on results pageMention/citation in generated response
MechanicLinks, backlinks, domain authorityLanguage, semantics, contextual relevance
User ResultClick to your siteInfo consumed without click
OptimizationKeywords, tags, structureSemantic clarity, E-E-A-T, direct answers

GEO Optimization Strategies

1. Semantic Clarity & Relevance

Principle: AI must understand CONTEXT, not just keywords.

Actions:

  • Dense in MEANING, not just keywords
  • Natural vocabulary, no keyword stuffing
  • Clear context in first 1-2 sentences
  • Define technical terms at first appearance
❌ "Our SEO GEO optimization ranking solution"
✅ "GEO (Generative Engine Optimization) optimizes content so AI like
    ChatGPT cites your brand in their responses."

2. Direct Answers (Answer-First)

Principle: Provide key answer at the BEGINNING, not the end.

Actions:

  • Main answer in 1st paragraph
  • Format: "Question → Immediate answer → Development"
  • No "teasing" (saving answer for later)

Optimal Structure:

## [Question]
[Direct answer in 1-2 sentences]

[Detailed development]

[Concrete examples]

[Conclusion/Action]

Example:

## What is ethical copywriting?

Ethical copywriting is a persuasive writing approach that excludes
manipulation and is founded on transparency, honesty, and respect
for the prospect.

[Details follow...]

3. AI-Parser Optimized Structure

Principle: AI favors content that's easy to analyze ("parse").

Headers (H1-H6)
  • Descriptive and informative (not clickbait)
  • Strict logical hierarchy
  • Contain keywords naturally
✅ "## How to create a landing page that converts?"
❌ "## The secret marketers don't want you to know"
Bullet Lists
  • For enumerations, steps, comparisons
  • Preferred over long paragraphs
  • Start each item with strong keyword
Tables
  • For comparisons, specifications, data
  • Clear, descriptive headers
  • Concise cells
Question-Answer Format (FAQ)
  • H3 structure for questions
  • Immediate answer after
  • Ideal for featured snippets AND GEO

4. E-E-A-T: Credibility for AI

E-E-A-T = Expertise + Experience + Authority + Trustworthiness

Expertise
  • Demonstrate deep knowledge
  • Use precise domain terminology
  • Reference research/studies
Experience
  • First-hand concrete examples
  • Real case studies
  • Measurable results obtained
Authority
  • Author bio with credentials
  • Citations by recognized experts
  • Publications in reference media
  • Certifications, awards
Trustworthiness
  • Cited and dated sources
  • Transparency about limits/biases
  • Accessible contact and legal notices
  • HTTPS, professional design

Concrete Signals to Integrate:

"According to a [University X] study published in [year]..."
"Based on our analysis of [X] clients over [period]..."
"Source: [URL of official document]"
"Last updated: [date]"

5. Optimal Length & Depth

Data:

  • Articles 2000-3000 words = sweet spot for GEO
  • But: Quality > Quantity
  • Depth on ONE subject > Overview of several

Ideal GEO Article Structure:

1. Intro with direct answer (100-150 words)
2. Definition/Context (200-300 words)
3. In-depth development (1500-2000 words)
   - Subsections with H2/H3
   - Concrete examples
   - Tables/lists
4. Case studies/Proof (300-500 words)
5. Actionable conclusion (100-150 words)

6. Freshness & Updates

Principle: AI favors RECENT information.

Actions:

  • Explicitly date content
  • Mention "updated on [date]"
  • Recent statistics (< 2 years)
  • References to relevant current events

7. Citation-Friendly Format

Principle: Facilitate extraction and citation by AI.

Techniques:

  • Autonomous sentences (understandable alone)
  • Statistics with immediate context
  • Clear, concise definitions
❌ "That's 37% more."
✅ "Ethical copywriting increases conversion rates by 37% on average
    compared to manipulative approaches."

GEO by Content Type

Blog Articles

  • Title = Natural question
  • Answer in meta description AND 1st paragraph
  • H2 subtitles = Secondary questions
  • FAQ at end of article

Product/Service Pages

  • Main benefit in H1 (visualizable + falsifiable)
  • Technical specs in table
  • Concrete use cases (storytelling)
  • Testimonials with context

Landing Pages

  • Clear value proposition in hero
  • Sections with descriptive H2s
  • Measurable social proof
  • FAQ for common objections

Content Structure Template

# [H1: Clear Title with Primary Topic]

[Opening paragraph with direct answer to main query]

## Quick Summary
- **What:** [One-line definition]
- **Why it matters:** [Key benefit/importance]
- **Key takeaway:** [Main action or insight]

## Table of Contents
[For posts >1500 words]

## [H2: First Major Section]

[Direct answer/definition first, then elaboration]

### [H3: Supporting Detail]
[Expand with examples, data, explanations]

## [H2: How to [Action]]

1. **Step 1:** [Clear instruction]
   - [Supporting detail]

2. **Step 2:** [Clear instruction]
   - [Supporting detail]

## [H2: Comparison Section] (if applicable)

| Aspect | Option A | Option B |
|--------|----------|----------|
| [Criteria] | [Value] | [Value] |

## Key Takeaways

- [Bullet summary 1]
- [Bullet summary 2]
- [Bullet summary 3]

## Frequently Asked Questions

### [Natural language question]?
[2-3 sentence direct answer]

### [Natural language question]?
[2-3 sentence direct answer]

## Conclusion
[Summary + clear call to action]

---
*Last updated: [Date]*
*Sources: [Citations]*

Common Question Patterns to Answer

For any topic, consider addressing:

  • What is [topic]? → Clear definition
  • How does [topic] work? → Process explanation
  • Why is [topic] important? → Benefits/significance
  • How to [action with topic]? → Step-by-step guide
  • [Topic] vs [alternative]? → Comparison
  • Best [topic] for [use case]? → Recommendations
  • How much does [topic] cost? → Pricing/investment
  • How long does [topic] take? → Timeline expectations

GEO Checklist

Structure

  • Descriptive title (not clickbait)
  • Direct answer in first 150 words
  • Informative H2/H3 headers
  • Bullet lists for key points
  • Table for comparisons/data

Content

  • Dense in meaning (clear context)
  • Autonomous citable sentences
  • Statistics with context
  • Definitions at first mention
  • Concrete examples

Credibility (E-E-A-T)

  • Cited and dated sources
  • Author bio with expertise
  • First-hand examples
  • Visible publication/update date

Length

  • 2000-3000 words for main subject
  • Depth > Overview
  • Each section developed

Technical

  • Descriptive URL
  • Meta description = direct answer
  • Schema markup (if applicable)
  • Images with descriptive alt text

Writing for 3 Audiences

Simultaneously optimize for:

  1. Human → Persuasion, engagement, emotional connection
  2. Ranking Algorithm (SEO) → Keywords, links, structure
  3. Generation Algorithm (GEO) → Semantic clarity, E-E-A-T, direct answers

Errors to Avoid

❌ Keyword stuffing → AI detects and devalues ❌ Clickbait headlines → AI seeks descriptive info ❌ Superficial content → AI prefers depth ❌ Absence of sources → Trustworthiness questioned ❌ Unexplained jargon → Missing context ❌ Buried answers → AI scans the beginning


What Claude Does vs What You Decide

Claude handlesYou provide
Applying GEO structure and formattingTopic expertise and unique insights
Creating FAQ sections from contentValidation of accuracy
Optimizing for semantic clarityE-E-A-T signals (credentials, experience)
Suggesting citable sentence structuresSource verification and dates
Generating comparison tablesStrategic decisions on positioning

Skill Boundaries

This skill excels for:

  • Blog articles and long-form content
  • Product/service pages
  • FAQ and knowledge base content
  • Landing pages with informational elements

This skill is NOT ideal for:

  • Pure conversion copy → Use copywriting skills
  • Technical documentation → Structure matters more than GEO
  • Internal communications → No AI discoverability needed

Iteration Guide

PassFocusAction
1stStructureApply GEO template, answer-first format
2ndE-E-A-TAdd citations, credentials, dates
3rdCitabilityMake sentences autonomous and extractable
4thChecklistRun GEO checklist to verify all elements

Skill Metadata

name: llm-optimized-content
category: seo-tools
subcategory: geo
version: 2.0
author: GUIA
source_expert: GEO Framework (Gartner, industry research)
difficulty: intermediate
mode: cyborg
tags: [geo, seo, llm, ai-search, content, perplexity, chatgpt]
created: 2026-01-28
updated: 2026-02-03

平台分布

Codex

35.52%
按下载量换算256

Claude

29.11%
按下载量换算210

Cursor

18.91%
按下载量换算136

Gemini CLI

9.03%
按下载量换算65

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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