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geo-citation-writer地理引文作者

Agent Skill

geo-citation-writer 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

12,485

周安装

510

GitHub Stars

公开资料未说明

下载量

3,998
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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-geo/geo-citation-writer
安装命令:
openclaw skills install 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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install geo-citation-writer

简介

geo-citation-writer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。

  • 适用于编写可引用的 AI 内容,包括 FAQ、定义文章、比较指南和操作手册。
  • 通过 clawhub 安装,需结合原始 README 核验具体用法,注意权限与维护状态。
  • 安装命令为 openclaw skills install geo-citation-writer,来源仓库为 geoly-geo/geo-citation-writer。
  • 使用前建议确认是否会触发联网、命令执行或文件读写等操作。

SKILL.md

name
geo-citation-writer
description
Write AI-citable content in proven formats including FAQ pages, definition articles ("What is X?"), comparison guides (A vs B), how-to guides, and original data/statistics roundups. Creates content optimized for ChatGPT, Perplexity, Gemini, and Claude citations. Use whenever the user mentions writing content for AI citations, creating FAQ pages, writing definition articles, building comparison content, making how-to guides, or generating statistics roundups that AI will reference.

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.9%
按下载量换算3,594

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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

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