Yao Geo Article Friendly logo

Yao Geo Article Friendly

Community
yaojingang
yao-geo-article-friendly

Optimize an existing article or local article file into a GEO and AI-search-friendly rewrite with source-bound evidence, structure, semantic density, scoring, and change notes. Use for article rewriting and citation-readiness improvement; do not use for new articles, invented citations/data, compliance audits, ranking guarantees, or generic GEO strategy.

Overview

Publisheryaojingang
Repositoryyao-geo-skills
Skill nameyao-geo-article-friendly
Stars
871
Forks
168
Bundled files
11
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.

  • 11 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 Article Friendly 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-article-friendly
  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-article-friendly .claude/skills/yao-geo-article-friendly
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Geo Article Friendly 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 Article Friendly 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 Article Friendly 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 Article Friendly

Use

Use when the user provides pasted article text or a local path and wants a GEO/AI 搜索友好化改造 with evidence, structure, readability, and before/after scoring.

Accepted inputs: pasted text, .md, .txt, .html, .htm, .docx, and .pdf when local extraction is available. If the article cannot be read, return a blocker and ask for pasted text.

Do not use for topic-only drafting, legal/compliance judgments, ranking promises, competitor attacks, takedown work, or unsupported statistics, sources, quotes, cases, or claims.

Required Reading

  • references/geo-article-transformation-method.md: weighted method, evidence rules, and validation.
  • references/geo-output-contract.md: final Markdown structure, scoring, and change-note templates.

Workflow

  1. Resolve input and preserve the original title, claims, facts, examples, and tone. Default to standard depth.
  2. Inventory core claims, evidence, data, quotes, cases, structure, entities, terms, and reusable passages.
  3. Score the original against the weighted GEO dimensions plus risk control; be conservative when sources, data口径, or quotes are missing.
  4. Rewrite by priority: evidence, structure, fluency, semantic density, authority signals, terminology, robustness, cross-domain links, and readability.
  5. Mark unsupported enhancements as [建议补充...]; state facts only when original-supported or verified.
  6. Return the optimized article, score report, change notes, supplement list, and risk notes.
  7. Verify original meaning, no fabrication, high-weight improvements, and natural readability.

Evidence Discipline

Use 原文支持, 外部已核验, and 建议补充 labels when provenance matters.

If current laws, platform rules, market data, rankings, product facts, or recent research are needed, verify them with current primary or authoritative sources before insertion. When verification is not possible, keep the claim as 建议补充.

Output Contract

Default artifact: one structured Markdown response containing:

  1. 改造后的完整文章
  2. GEO优化度评分
  3. 改造执行说明
  4. 需要用户补充或确认的内容
  5. 改造风险提示

If the user asks for a file, save the Markdown artifact and return the absolute path.

Reference Map

  • references/geo-article-transformation-method.md: method and scoring basis.
  • references/geo-output-contract.md: output templates.
  • reports/: prompt-quality, output-risk, artifact-design, and reference scan.

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 Article Friendly AI skill do?

Optimize an existing article or local article file into a GEO and AI-search-friendly rewrite with source-bound evidence, structure, semantic density, scoring, and change notes. Use for article rewriting and citation-readiness improvement; do not use for new articles, invented citations/data, compliance audits, ranking guarantees, or generic GEO strategy.

Why use Yao Geo Article Friendly on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-article-friendly. 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 Article Friendly?

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 Article Friendly?

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

Is the Yao Geo Article Friendly 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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