Yao Geo Panorama Audit logo

Yao Geo Panorama Audit

Community
yaojingang
yao-geo-panorama-audit

当用户需要基于品牌官网抓取、公开事实交叉验证、内容资产诊断、站内站外 GEO 机会地图、项目启动诊断、季度复盘或投放前评估时使用;不用于问答平台采样监测、单页诊断、文章写作、标题生成、后端归因或执行路线图拆解。

Overview

Publisheryaojingang
Repositoryyao-geo-skills
Skill nameyao-geo-panorama-audit
Stars
871
Forks
168
Bundled files
27
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.

  • 27 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 Panorama Audit 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-panorama-audit
  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-panorama-audit .claude/skills/yao-geo-panorama-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Geo Panorama Audit 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 Panorama Audit 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 Panorama Audit 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 Panorama Audit

使用场景

  • 项目启动、季度复盘、竞品追赶、投放前评估,或需要先建立 GEO 基线。
  • 用户要先从目标品牌官网抓取公开信息,交叉验证品牌实体、产品、页面、内容资产、竞品和外部信源,再输出站内与站外系统方案。
  • 面向品牌负责人、增长负责人、GEO 顾问、内容负责人输出机会地图和 P0 优先级。

不适用场景

  • 只诊断一个 URL 或页面结构;应改用页面诊断类 skill。
  • 只写榜单、对比、科普、标题或旧文改造;应改用内容生产类 skill。
  • 只需要第三方问答平台答案表现和趋势监测;应改用监测类 skill。
  • 只设计 GEO 效果追踪、归因字段或数据看板;应改用 yao-geo-tracking。
  • 已有诊断结论,只需要拆 30/60/90 天执行计划;应改用实施方案类 skill。

必要输入

  • 品牌名、官网、产品线、行业、区域、目标用户和业务目标。
  • 已知竞品、已有内容清单、核心页面、品牌资料、销售资料和 PR 材料。
  • 种子问题、核心关键词、客户咨询记录、历史 SEO 词库、站内搜索数据。
  • 可选:GSC、GA、百度统计、CMS、CRM 线索、第三方舆情和媒体稿。

语言与命名约束

  • Skill 名称必须遵守 yao-geo-xxx 规范;本 skill 固定为 yao-geo-panorama-audit。
  • 默认输出语言为中文简体;报告正文、表头、字段名、状态值、判断标签和模块名称都应使用中文简体。
  • 保留品牌名、产品名、平台名、URL、专有名词和用户英文素材,避免误译。
  • 如用户明确要求双语或英文版本,先完成中文简体主版,再生成对应语言版本。

必读资料

  • references/skill-method.md
  • references/research-foundation.md
  • references/official-site-evidence.md
  • references/geo-quality-model.md
  • references/quality-gates.md
  • references/artifact-layout.md

执行流程

  1. 先按 research-foundation.md 建立诊断口径:GEO 全景诊断从官网事实源出发,以官网抓取、断言级核验、公开信源交叉验证和站内/站外机会地图为主线。
  2. 抓取并归档目标品牌官网和官方入口:主页、产品页、方案页、价格页、案例页、文档页、帮助中心、博客、新闻稿、关于页、联系页和 sitemap。
  3. 建立品牌实体档案,统一品牌名、别名、产品、服务、资质、客户、案例、价格、渠道、地域、适用场景和不适用边界。
  4. 对官网断言做交叉验证:优先用官方二级来源、帮助文档、投资者资料、公开客户案例、媒体报道、百科、社区、行业报告和已授权资料核验;无法核验的内容标为待确认。
  5. 生成用户问题覆盖矩阵,覆盖推荐、比较、替代、教程、价格、风险、真实性、购买决策和场景解决,用来检查官网是否能回答这些问题。
  6. 补全 12 个诊断域,详见 official-site-evidence.md。
  7. 按统一 GEO 特征模型评分:语义密度、结构规范性、可引用性、权威信号、可读性、鲁棒性、新颖性、跨域贡献,并增加完整性评分。
  8. 输出机会地图,必须拆成站内方案和站外方案:站内包括页面重构、事实卡、FAQ、结构化摘要、内链、Schema、内容补齐;站外包括媒体、百科、公众号/视频号、社区、行业报告、合作伙伴、案例证据和第三方背书。

输出契约

  • GEO 全景诊断报告
  • 方法依据与评分口径
  • 权威参考映射
  • 官网抓取与事实交叉验证表
  • 官网抓取覆盖、实体档案、产品服务与商业信息地图
  • 用户问题覆盖矩阵
  • 技术可抓取与结构化数据诊断
  • GEO 机会地图与优先级矩阵
  • 站内系统方案
  • 站外证据建设方案
  • 风险、假设与待确认项
  • 页面与内容资产修复清单
  • 默认四格式交付:Word(.docx)、PDF(.pdf)、HTML(.html 或完整 HTML 包)、Markdown(.md)。

校验清单

  • 生成示例或正式报告时,必须真实产出 Word、PDF、HTML、Markdown 四种格式,并共用同一内容结构。
  • 四格式生成后,必须按 references/artifact-layout.md 和 references/quality-gates.md 自 review;发现排版溢出、边框错位、行距异常、表格不可读或字段英文化时,先自行修复再交付。
  • Word 表格必须显式控制总宽、网格列宽和单元格宽度;密集表需要拆成窄表,不能向右溢出或贴边。
  • PDF 必须从已校验 HTML 渲染,检查页面尺寸、分页、表格边框和是否存在浏览器默认页脚。
  • HTML 必须包含固定跟随的章节菜单栏,滚动时不遮挡内容。
  • 不把 SEO 排名、官网流量或品牌知名度直接等同于 GEO 优先级。
  • 不把“官网有页面”直接等同于“AI 可准确引用”;必须检查页面是否有可抽取的定义、表格、FAQ、来源、更新时间和断言级事实。
  • 不把引用链接数量直接等同于可信度;必须检查引用是否真实支持对应断言。
  • 品牌事实、客户案例、数据、资质和价格必须有来源;无法确认则标为待确认。
  • 结论必须区分事实问题、结构问题、信源问题和执行问题。
  • 机会地图必须有资源约束、P0/P1 优先级、负责人建议和验收口径。
  • 报告必须系统、详细、完整:闭环、断言级证据、覆盖 12 个诊断域。

参考地图

  • templates/brief-template.md:标准输入简报。
  • evals/trigger_cases.json:触发与相邻场景测试。
  • evals/expected_artifacts.json:输出契约和必要文件。
  • reports/output-risk-profile.md:输出风险画像。
  • reports/artifact-design-profile.md:报告设计画像。

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 Panorama Audit AI skill do?

当用户需要基于品牌官网抓取、公开事实交叉验证、内容资产诊断、站内站外 GEO 机会地图、项目启动诊断、季度复盘或投放前评估时使用;不用于问答平台采样监测、单页诊断、文章写作、标题生成、后端归因或执行路线图拆解。

Why use Yao Geo Panorama Audit on TypingMind?

Because you install it once and use it with any model. Yao Geo Panorama Audit 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 Panorama Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-panorama-audit. 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 Panorama Audit?

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 Panorama Audit?

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

Is the Yao Geo Panorama Audit 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 👇