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Agent Skill · 研究检索

geo-citation-writer(地理引文作者)

geo-citation-writer 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。

geo-citation-writer 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 61,604。

总安装 349周安装 14GitHub Stars 10下载 113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:geo-citation-writer(地理引文作者)
来源仓库:https://github.com/geoly-ai/geo-skills
仓库路径:skills/geo-citation-writer
安装命令:
npx skills add https://github.com/geoly-ai/geo-skills --skill geo-citation-writer
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/geoly-ai/geo-skills --skill geo-citation-writer

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。

geo-citation-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景进行地理引文信息检索的场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围和维护状态,注意可能触发的联网或文件操作行为。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。

来源仓库内路径:skills/geo-citation-writer

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/geoly-ai/geo-skills --skill geo-citation-write…;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

geo-citation-writer 怎么安装?

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

geo-citation-writer 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。

geo-citation-writer 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。

geo-citation-writer 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。

geo-citation-writer 用的人多吗?

公开数据是累计安装 349 次,近一周安装 14 次,下载 113 次,GitHub 10 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。

geo-citation-writer 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
geo-citation-writer

地理引文作者 · 本页

34910只读未明确通过

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

AI Citation Content Writer

Methodology by GEOly AI (geoly.ai) — write content in the formats AI platforms love to cite.

Create content assets in formats most frequently cited by AI platforms.

Quick Start

Generate AI-citable content:

python scripts/generate_content.py --format <format> --topic "<topic>" --output article.md

Example:

python scripts/generate_content.py --format faq --topic "project management software" --output faq.md
python scripts/generate_content.py --format comparison --topic "Notion vs Asana" --output comparison.md

The 5 High-Citation Formats

1. Definition Article ("What is X?")

Why AI cites it: Direct answers to definitional queries

Best for:

  • Introducing concepts
  • Building topical authority
  • Capturing informational queries

Structure:

# What is [Term]? (Complete Guide)

[Term] is [single-sentence definition with key attributes].

## Key Characteristics
- [Characteristic 1]
- [Characteristic 2]
- [Characteristic 3]

## How [Term] Works
[2-3 paragraph explanation with mechanism]

## [Term] vs [Related Term]

| Aspect | [Term] | [Related Term] |
|--------|--------|----------------|
| [Factor] | [Value] | [Value] |
| [Factor] | [Value] | [Value] |

## Examples of [Term] in Practice
- [Concrete example 1]
- [Concrete example 2]

## Frequently Asked Questions About [Term]

**Q: [Question]?**

A: [Complete, self-contained answer]

**Q: [Question]?**

A: [Complete, self-contained answer]

Schema markup: Article + FAQPage


2. FAQ Page

Why AI cites it: FAQ schema feeds AI conversational answers directly

Best for:

  • Support content
  • Addressing objections
  • Common questions

Structure:

# [Topic] — Frequently Asked Questions

## General Questions

**Q: [Most common question]?**

A: [Complete, self-contained answer. 2-5 sentences. Don't assume context.]

**Q: [Second question]?**

A: [Answer with specific details]

## [Sub-topic] Questions

**Q: [Question]?**

A: [Answer]

## Troubleshooting / Edge Cases

**Q: [Question]?**

A: [Answer]

Schema markup: FAQPage Best practices:

  • 5-15 questions
  • Answers 50-150 words
  • Match actual search queries
  • Include data in answers

3. Comparison Guide (A vs B)

Why AI cites it: Comparison prompts are extremely common in AI search

Best for:

  • Competitive positioning
  • Commercial intent queries
  • Decision-stage content

Structure:

# [Brand A] vs [Brand B]: [Year] Comparison

## Quick Answer
[Brand A] is better for [use case A]. [Brand B] is better for [use case B].

## Side-by-Side Comparison

| Feature | [Brand A] | [Brand B] |
|---------|-----------|-----------|
| [Feature 1] | [Value] | [Value] |
| [Feature 2] | [Value] | [Value] |
| Pricing | [Price] | [Price] |
| Best for | [Use case] | [Use case] |

## Detailed Analysis

### [Brand A] Strengths
- [Strength 1]
- [Strength 2]

### [Brand B] Strengths
- [Strength 1]
- [Strength 2]

### Which Should You Choose?

Choose [Brand A] if:
- [Use case criteria]
- [Use case criteria]

Choose [Brand B] if:
- [Use case criteria]
- [Use case criteria]

## Verdict
[2-3 clear recommendation sentences based on use case]

Schema markup: Article + FAQPage Best practices:

  • Be objective (builds trust)
  • Include specific data
  • Address multiple use cases
  • Update annually

4. How-To Guide

Why AI cites it: Step-by-step instructions are #1 for how-to answers

Best for:

  • Tutorial content
  • Process documentation
  • Feature walkthroughs

Structure:

# How to [Achieve Outcome]: Step-by-Step Guide

**What you need:** [prerequisites list]
**Time required:** [estimate]
**Difficulty:** [Easy/Medium/Hard]

## Step 1: [Action verb + outcome]
[Clear instruction. One action per step.]

✅ **Result:** [What the user will see/have after this step]

## Step 2: [Action verb + outcome]
[instruction]

✅ **Result:** [Expected outcome]

[Continue for each step...]

## Common Mistakes to Avoid

**[Mistake]:** [How to avoid]

## Frequently Asked Questions

**Q: [Question about the process]?**

A: [Answer]

Schema markup: HowTo + FAQPage Best practices:

  • Numbered steps
  • One action per step
  • Include expected results
  • Add troubleshooting

5. Original Data / Statistics Roundup

Why AI cites it: AI heavily cites original statistics and research

Best for:

  • Building authority
  • Attracting backlinks
  • PR coverage

Structure:

# [N] Key Statistics About [Topic] ([Current Year])

**Key finding:** [Most impactful stat in one sentence]

## [Sub-category] Statistics

- **[Stat]%** of [metric] — [Source, Year]
- **[Number] [unit]** [finding] — [Source, Year]
- **[Stat]%** [finding] — [Source, Year]

## [Sub-category] Statistics
[Continue...]

## Methodology
[How the data was collected/sourced]

## Key Takeaways
- [Insight 1]
- [Insight 2]
- [Insight 3]

Schema markup: Article Best practices:

  • Cite sources
  • Keep current (update annually)
  • Visualize data (charts)
  • Include methodology

Format Selection Guide

GoalRecommended Format
Build topical authorityDefinition article
Address support questionsFAQ page
Capture commercial intentComparison guide
Drive product adoptionHow-to guide
Attract PR/linksStatistics roundup

Content Generation Tools

Interactive Generator

python scripts/generate_content.py --interactive

Walks through format selection and content creation interactively.

From Template

python scripts/generate_content.py --format definition --topic "generative engine optimization"

Uses templates to generate content structure.

Batch Generation

python scripts/batch_generate.py --format faq --topics-file topics.txt --output-dir ./content/

Generate multiple pieces from a list of topics.

Writing Best Practices

Universal Rules

  1. Lead with the answer — First sentence should answer the question
  2. Be specific — Use data, names, dates
  3. Write standalone answers — Each section should make sense alone
  4. Use headers — H2 every 300-500 words
  5. Add FAQs — Every format benefits from FAQ section
  6. Include schema — Use geo-schema-gen skill for markup

Brand Integration

  • Mention brand 2-3 times naturally
  • Include in first 100 words
  • Add to author/publisher schema
  • Don't force it (credibility first)

See Also

平台分布

Codex

38.94%
按下载量换算44

Claude

28.78%
按下载量换算33

Cursor

19.43%
按下载量换算22

Gemini CLI

10.23%
按下载量换算12

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。目前只有一个公开来源,建议同时核对源仓库。

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