Yao Geo Execution Roadmap logo

Yao Geo Execution Roadmap

Community
yaojingang
yao-geo-execution-roadmap

当用户需要把 GEO 全景诊断、机会地图、AI 平台采样结论或品牌事实底座转成 30/60/90 天综合实施方案时使用,输出页面技术、内容矩阵、标题体系、知识库、外部证据、监测闭环、角色分工、验收指标和四格式报告;覆盖 DeepSeek、豆包、千问、Kimi、元宝;不用于从零做全景采样诊断或只写单篇内容。

Overview

Publisheryaojingang
Repositoryyao-geo-skills
Skill nameyao-geo-execution-roadmap
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 Execution Roadmap 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-execution-roadmap
  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-execution-roadmap .claude/skills/yao-geo-execution-roadmap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Geo Execution Roadmap 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 Execution Roadmap 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 Execution Roadmap 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 Execution Roadmap

使用场景

  • 已有 GEO 诊断、机会地图、平台样本或品牌事实底座,需要落成 30/60/90 天执行方案。
  • 用户要给 CEO、市场负责人、增长团队、内容团队、技术团队或客户交付团队看清任务、预算、依赖和验收口径。
  • 项目需要同时覆盖官网页面、内容矩阵、标题体系、知识库、外部证据与监测闭环。

不适用场景

  • 没有任何品牌、问题、平台、页面或竞品基础信息时,不直接生成实施计划;先补充简报或转入全景诊断。
  • 只要 AI 搜索问题集、意图簇、标题库或单篇文章时,应使用对应内容/意图类 skill。
  • 只要效果追踪字段、看板或归因设计时,应使用 yao-geo-tracking。

必要输入

  • 全景诊断报告、机会地图或等价诊断摘要。
  • 目标平台范围:默认覆盖 DeepSeek、豆包、千问、Kimi、元宝。
  • 业务目标:线索、成交、曝光、品牌权威、招商、产品教育或客户成功。
  • 资源约束:内容产能、开发排期、预算、数据权限、法务审核和交付团队边界。
  • 时间范围:默认 30 天快赢、60 天资产建设、90 天闭环优化。

必读资料

  • references/skill-method.md
  • references/real-data-capability.md
  • references/analysis-completeness-framework.md
  • references/research-backed-framework.md
  • references/cn-platform-adaptation.md
  • references/artifact-layout.md
  • references/quality-gates.md

执行流程

  1. 承接诊断,不从空白清单开始:先提取品牌事实、问题簇、平台差距、页面与内容缺口、证据源缺口和监测口径缺口。
  2. 判断真实数据模式:用户提供、公开网页核验、平台采样导入或混合模式;写清能力边界、来源新鲜度和待补证缺口。
  3. 输出分析完整性矩阵:业务目标、问题覆盖、品牌实体、页面技术、内容资产、标题体系、知识库、外部证据、平台适配、监测治理十维都要有当前状态、缺口、动作、验收和责任角色。
  4. 输出证据成熟度与事实底座:把核心断言分为 A 官方已证实、B 第三方可佐证、C 内部待授权、D 需要补证、E 禁止使用,并为 D/E 给出处理动作。
  5. 确定北极星指标:品牌推荐率、被引用率、答案准确率、核心问题覆盖率、证据支持率和线索贡献至少选择 3 项。
  6. 拆成六个项目包:页面技术、内容矩阵、标题体系、知识库、外部证据、监测闭环。
  7. 每个项目包必须写清目标、任务、输入、步骤、负责人、交付物、验收指标、依赖关系、优先级和资源预算。
  8. 输出 30/60/90 天路线图:先做可验证快赢,再做知识资产和批量内容,最后做监测、复盘与迭代,并给出资源取舍。
  9. 按国内平台差异化适配:DeepSeek 重逻辑与证据链,豆包重口语化问题和创作式答案,千问重可追溯引用与检索配置,Kimi 重长文本与深度研究,元宝重微信生态和腾讯内容入口。
  10. 加入风险预案、治理节奏和决策机制;生成四格式报告并自检。HTML 固定菜单;Word 固定表格几何,长表拆成窄表。

输出契约

  • GEO 综合实施方案
  • 真实数据能力与采集计划
  • 分析完整性矩阵
  • 证据成熟度与事实底座
  • 90 天执行路线图
  • 角色分工与验收指标表
  • 资源预算与优先级
  • 治理节奏与决策机制
  • 内容矩阵、页面改造、知识库建设和监测计划
  • 国内 AI 平台差异化执行动作
  • 风险预案与合规节点
  • 默认四件套:Word(.docx)、PDF(.pdf)、带固定跟随菜单栏的 HTML(.html)、Markdown(.md)

方法约束

  • 方案必须承接诊断数据,不能停留在通用清单。
  • 所有任务都要有验收指标和责任角色。
  • 所有报告必须先给分析完整性矩阵,再给路线图和任务。
  • 所有真实数据必须写清来源类型、证据等级、核验日期和新鲜度;无法获取的数据进入补证计划。
  • 所有预算、排期和资源投入都要写清优先级、取舍和升级条件。
  • 不能承诺某个平台必定引用某页,只能提升可发现性、可验证性和可抽取性。
  • 所有品牌事实、客户数据、产品能力、价格、案例、资质和财务数据都必须有来源;无法确认则标为待确认。
  • 默认输出中文简体;保留品牌名、产品名、URL、平台名和英文专有名词。

生成器

使用内置脚本生成四格式报告:

bash
python3 scripts/render_yao_geo_execution_roadmap.py \
  --input examples/hubspot-cn-demo/report_input.json \
  --output-dir examples/hubspot-cn-demo

生成后阅读 quality-report.json,所有关键检查必须为 pass: true。

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 Execution Roadmap AI skill do?

当用户需要把 GEO 全景诊断、机会地图、AI 平台采样结论或品牌事实底座转成 30/60/90 天综合实施方案时使用,输出页面技术、内容矩阵、标题体系、知识库、外部证据、监测闭环、角色分工、验收指标和四格式报告;覆盖 DeepSeek、豆包、千问、Kimi、元宝;不用于从零做全景采样诊断或只写单篇内容。

Why use Yao Geo Execution Roadmap on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-geo-skills/tree/main/skills/yao-geo-execution-roadmap. 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 Execution Roadmap?

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 Execution Roadmap?

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

Is the Yao Geo Execution Roadmap 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 👇