Yao Geo Ranking Article Builder logo

Yao Geo Ranking Article Builder

Community
yaojingang
yao-geo-ranking-article-builder

当用户需要基于品牌 Brief、选题配置、关键词、竞品库和可信来源生成 GEO 榜单评测文章、best/top/alternatives/vs/persona/use-case 意图内容、评选方法、核心对比表、榜单正文、适合人群、FAQ、来源表和 Word/PDF/HTML/Markdown 四格式文章包时使用;适配 DeepSeek、豆包、千问、Kimi、元宝;不用于全景诊断、后台归因、单页审计、纯标题生成或无证据软文排行。

Overview

Publisheryaojingang
Repositoryyao-geo-skills
Skill nameyao-geo-ranking-article-builder
Stars
871
Forks
168
Bundled files
31
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 31 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yaojingang on GitHub. Read the source before you install it.

Installation

Install the Yao Geo Ranking Article Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-ranking-article-builder
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yaojingang/yao-geo-skills.git /tmp/yao-geo-skills
mkdir -p .claude/skills
cp -r /tmp/yao-geo-skills/skills/yao-geo-ranking-article-builder .claude/skills/yao-geo-ranking-article-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Geo Ranking Article Builder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Yao Geo Ranking Article Builder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Yao Geo Ranking Article Builder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Yao GEO Ranking Article Builder

使用边界

用于把品牌 Brief、选题配置、关键词、竞品库、行业资料和可信来源转成可追溯的 GEO 榜单评测文章,并输出 Markdown、HTML、PDF、Word 四格式文章包。适合 CRM、SaaS、消费品、教育、医疗健康、B2B 服务等需要“best/top/alternatives/vs/persona/use-case”内容的生产场景。

支持真实公开数据采集与可用性审计:可使用官网、产品页、定价页、帮助中心、公开 PDF、行业报告、第三方评价页和用户提供资料;不能绕过登录、付费墙、反爬限制或私有系统权限。

不要用于全景 GEO 诊断、单页技术审计、纯标题生成、无来源软文、没有明确品牌和类目的排行。无法确认品牌、官网、类目、区域或关键证据时,先停止正文输出并列出阻塞点。

执行流程

  1. 输入核验:核验品牌、官网、产品、类目、区域、语言、合规说明、竞品范围和核验日期;缺少关键事实时停止。
  2. 数据可用性分层:把来源分为公开可采集、用户提供、需登录/付费、不可访问四类;不可访问数据不写成确定事实。
  3. 来源可达审计:可使用 scripts/audit_sources.py 检查 Markdown 中的 URL 是否可访问,生成来源可用性 JSON 供自检使用。
  4. 参考自检:先检查是否需要补充更权威或更完整的参考,优先官方页面、监管/标准文件、学术论文、行业研究和第三方评价,再使用品牌自述。
  5. 分析完整性地图:生成主题边界、用户意图、选择标准、证据类型、限制条件、国内 AI 平台适配和结构化数据机会,作为生产依据,默认放入文末附录或交付包,不抢占文章开头。
  6. 关键词地图:覆盖 best、top、alternatives、vs、人群、场景、痛点、价格、集成、迁移和风险类意图。
  7. 真实竞品筛选:选择真实同类竞品,优先 5 个资料充分的竞品;证据不足的竞品不硬选、不改名、不凑数。
  8. 评选方法设计:使用 4 到 6 个行业通用维度,补充 1 到 2 个有证据支撑的差异化维度;明确权重、评分依据和不确定性。
  9. 文章优先生成:先生成一篇完整可发布的 GEO 榜单文章,文章主体必须包含导语、直接结论、为什么现在看、评选方法、核心榜单、对比表、榜单正文、场景选择、采购风险、FAQ 和 Sources;核验摘要、真实数据获取与可用性、分析完整性地图、关键词地图、平台适配、结构化数据建议和自检记录默认放到文末附录或文章包辅助文件。
  10. 证据链审查:价格、功能、集成、融资、客户、案例、奖项、认证、评分和资质必须可追溯;无法核验则降级为“公开信息未确认”或移除。
  11. 榜单梯度控制:目标品牌只能通过证据、细节和适用场景体现优势;TOP1 必须有多源证据支持,不能靠品牌资料自述。
  12. 四格式渲染与复核:使用 scripts/render_ranking_article_pack.py 生成 Markdown、HTML、PDF、Word,并检查文件存在、白底排版、HTML 固定菜单、PDF A4、Word 表格不向右溢出。

方法依据

采用 GEO-RANK-SC 方法:Generative Engine Optimization、Retrieval-Augmented evidence、Ordered comparison、Ranking gradient、Knowledge-source traceability、Systematic completeness、Cross-platform readability。

关键依据放在 references/research-foundation.md,执行时要把这些依据转成可执行约束:可回答、可引用、可追溯、可比较、可解释、可复核,而不是堆砌概念。

国内平台适配

  • DeepSeek:评选逻辑、维度定义、权重、因果链和边界条件。
  • 豆包:先给直接答案,再给场景选择建议和易懂解释。
  • 千问:来源编号、事实与推论分离、核验日期和价格口径。
  • Kimi:长文结构、多源证据、完整章节和限制说明。
  • 元宝:公众号可读性、段落节奏、中文场景化表达和腾讯生态信源优先级。

输出门禁

  • 四格式报告必须真实存在、非空,并来自同一 Markdown 母版。
  • HTML 必须白底、可阅读、表格不溢出,并包含下拉时固定跟随的目录菜单:.report-nav { position: sticky; top: 0; };视觉系统参考 kami 的油墨蓝、暖灰、serif 标题和紧凑编辑节奏。
  • PDF 必须由同一 HTML 生成,A4 页面、稳定行高、表格边框合并,右边缘无文字或表格裁切。
  • Word 必须有标题层级、显式表格边框、A4 页边距、固定表格布局和动态列宽;长 URL、英文产品名、域名和参数不允许向右溢出。
  • 正文不能暴露后台词或实现细节,例如内部资料、Prompt、字段、执行链路、脚本、私有配置。
  • 不虚构竞品,不修改竞品名称,不把目标品牌硬排第一,不使用无来源数据、奖项、客户或价格。
  • 示例报告必须首先像一篇完整文章,而不是模块清单;生产过程模块只能作为附录、证据表或交付包说明。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Yao Geo Ranking Article Builder AI skill do?

当用户需要基于品牌 Brief、选题配置、关键词、竞品库和可信来源生成 GEO 榜单评测文章、best/top/alternatives/vs/persona/use-case 意图内容、评选方法、核心对比表、榜单正文、适合人群、FAQ、来源表和 Word/PDF/HTML/Markdown 四格式文章包时使用;适配 DeepSeek、豆包、千问、Kimi、元宝;不用于全景诊断、后台归因、单页审计、纯标题生成或无证据软文排行。

Why use Yao Geo Ranking Article Builder on TypingMind?

Because you install it once and use it with any model. Yao Geo Ranking Article Builder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Yao Geo Ranking Article Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-ranking-article-builder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Yao Geo Ranking Article Builder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Yao Geo Ranking Article Builder?

As many as you like. As long as a model supports skills, you can use Yao Geo Ranking Article Builder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Yao Geo Ranking Article Builder AI skill free?

Yes. It is published on GitHub by yaojingang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇