Yao Geo Page Audit

Community

yaojingang

yao-geo-page-audit

Diagnose a website page or small page set for GEO readiness with authoritative public evidence, systematic page analysis, code/content/schema fixes, and four-format Chinese report delivery.

Overview

Publisher	yaojingang
Repository	`yao-geo-skills`
Skill name	`yao-geo-page-audit`
Stars	871
Forks	168
Bundled files	28
License	MIT
Links	Skill source Repository Homepage

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.
28 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 Page Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-page-audit
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.

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-page-audit .claude/skills/yao-geo-page-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Geo Page 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 Page 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 Page 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-page-audit

Use this skill when the user wants a GEO Page Audit, website/page GEO diagnosis, page technical audit, AI extractability audit, schema/HTML module advice, or code/content repair list for a URL.

Job

Given a target URL or website, diagnose the homepage, a representative first-level page, and a representative second-level page when possible. Output development-ready and content-ready recommendations that improve how public pages can be discovered, parsed, cited, and summarized by search-driven AI systems. By default, analyze public page readiness and public evidence coverage only; do not estimate AI-platform recall, rankings, citation share, or internal platform behavior unless the user provides platform sampling data.

Workflow

Read references/research-foundation.md, references/authority-reference-model.md, and references/report-module-taxonomy.md. Frame the audit as a five-stage chain: discovery, retrieval candidate, main-content extraction, evidence quality, generated citation.
Identify page type and sample scope. If the input is a homepage, select homepage, one representative first-level page, and one representative second-level page. State the selection basis and unresolved input gaps.
Build an evidence ledger. Prefer official pages, official docs, schema/source code, standards, and peer-reviewed or arXiv research before third-party commentary. Mark each finding as observed, official, standard, research, inferred, or input gap.
Check crawlability and renderability: status code, robots, sitemap, canonical, meta robots, mobile-first parity, JavaScript dependency, and whether primary content appears in initial HTML.
Check structural quality: H1-H3, main/article, summary, table of contents, FAQ, tables, lists, breadcrumbs, internal links, anchor text, accessibility headings, and schema.
Check content evidence: conclusions first, full entity names, data, citations, cases, dates, author/source, freshness, objectivity, price, service boundaries, regional constraints, and source accountability.
Check AI extractability and public-answer material coverage: key-value facts, atomic facts, comparison tables, steps, Q&A, context-independent summary, paragraph independence, entity graph, sameAs links, and chunk-level citation readiness. Convert domestic platform concerns into high-intent question material gaps, not platform recall claims.
Produce code-layer fixes, content-layer fixes, page-module suggestions, schema/HTML snippets, priority, owner, acceptance test, risk, and estimated cost.
Deliver Word, PDF, sticky-menu HTML, and Markdown from one Markdown content source. Use the kami editorial report style in references/report-formatting-spec.md and references/output-layout-policy.md.
After DOCX generation, run scripts/polish_docx.py to apply Kami-style Word typography, margins, and table formatting.
Run scripts/review_report_layout.py and references/quality-gates.md before claiming completion.

Boundaries

Without crawl/log access, only report front-end observable evidence. Do not infer log-level crawl frequency.
Without AI-platform sampling data, do not analyze platform recall, ranking, answer frequency, citation share, or platform-internal weighting. Replace that section with public material coverage and high-intent question readiness.
Distinguish user-visible content, crawler-readable content, and AI-extractable content.
Schema must match page body facts. Do not use schema to invent facts absent from the page.
Cite or name the evidence source for important claims. If the source is not available, label the recommendation as a hypothesis or input gap.
Domestic answer-material adaptation should consider search results, public webpages, news pages, encyclopedia pages, WeChat public articles, documentation, and help-center pages as possible public material. Treat actual platform answer performance as optional user-supplied evidence.

Outputs

Page GEO diagnosis report.
Code-layer repair checklist.
Content-structure remodeling advice.
Schema and HTML module suggestions.
Evidence ledger and report completeness self-check.
Default four-piece deliverable: Word, PDF, HTML package, Markdown.
quality-report.json with artifact existence, byte size, and layout checks.

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 Page Audit AI skill do?

Diagnose a website page or small page set for GEO readiness with authoritative public evidence, systematic page analysis, code/content/schema fixes, and four-format Chinese report delivery.

Why use Yao Geo Page Audit on TypingMind?

Because you install it once and use it with any model. Yao Geo Page 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 Page 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-page-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 Page 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 Page Audit?

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

Is the Yao Geo Page 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

yao-geo-page-audit

Job

Workflow

Boundaries

Outputs

Bundled files

Frequently asked questions

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