Agent skill

Yao Geo Execution Roadmap

by yaojingang in yaojingang/yao-geo-skills

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。

MITAuto-check passed

Install Yao Geo Execution Roadmap

skills CLI
$ npx skills add yaojingang/yao-geo-skills --skill yao-geo-execution-roadmap -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yaojingang/yao-geo-skills yao-geo-execution-roadmap --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yaojingang/yao-geo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/yao-geo-execution-roadmap .claude/skills/yao-geo-execution-roadmap && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
yao-geo-execution-roadmap
GitHub stars
871
Token cost
~646 tokens
SKILL.md length
110 words
Files
32 (incl. scripts, references)
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

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。

  • Works in 10 steps: 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… → 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… → 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… → …
  • SKILL.md covers 使用场景, 不适用场景, 必要输入 and 必读资料, plus 4 more sections
  • Calls python3

What it does

Yao Geo Execution Roadmap is an agent skill from yaojingang/yao-geo-skills. 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。

Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including scripts and reference files (for example `agents/interface.yaml`, `evals/expected_artifacts.json` and `evals/trigger_cases.json`).

It works with DeepSeek and Kimi. The repository describes itself as: An open-source Skill collection for GEO content and workflows, continuously updated. The licence is MIT.

Example prompts

  • “/yao-geo-execution-roadmap”

Requirements

  • Python 3

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  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。

What it can do on your machine

Read from SKILL.md and the folder at commit d21bfc1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Yao Geo Execution Roadmap loads about 646 tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~646
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from yaojingang/yao-geo-skills at commit d21bfc1, republished under its MIT licence (© yaojingang). 110 words, ~646 tokens.

Download SKILL.mdSave it as .claude/skills/yao-geo-execution-roadmap/SKILL.md (or your agent's skills folder). This skill also uses 31 other files; get the full folder from GitHub.
name
yao-geo-execution-roadmap
description
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。
<!--
Copyright © 2026 姚金刚. All rights reserved.
Project: yao-geo-execution-roadmap
Created by: 姚金刚
Date: 2026-05-16
X: https://x.com/yaojingang
-->

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。

© yaojingang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 31 other files (scripts, references) in skills/yao-geo-execution-roadmap of yaojingang/yao-geo-skills.

  • SKILL.md
  • agents/interface.yaml
  • evals/expected_artifacts.json
  • evals/trigger_cases.json
  • examples/hubspot-cn-demo/hubspot-cn-yao-geo-execution-roadmap.docx
  • examples/hubspot-cn-demo/hubspot-cn-yao-geo-execution-roadmap.html
  • examples/hubspot-cn-demo/hubspot-cn-yao-geo-execution-roadmap.md
  • examples/hubspot-cn-demo/hubspot-cn-yao-geo-execution-roadmap.pdf
  • examples/hubspot-cn-demo/quality-report.json
  • examples/hubspot-cn-demo/report_input.json
  • examples/lingxu-demo/lingxu-cn-yao-geo-execution-roadmap.docx
  • examples/lingxu-demo/lingxu-cn-yao-geo-execution-roadmap.html
  • examples/lingxu-demo/lingxu-cn-yao-geo-execution-roadmap.md
  • examples/lingxu-demo/lingxu-cn-yao-geo-execution-roadmap.pdf
  • examples/lingxu-demo/quality-report.json
  • examples/lingxu-demo/report_input.json
  • … and 16 more

Open the folder on GitHubat commit d21bfc1

Compare with similar skills

Yao Geo Execution Roadmap next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Geoliangdabiao/GEO-Content-Optimizer-Skill2051 repos~2.3kAutomated safety check: NotesMIT
Bridgic LLMsbitsky-tech/bridgic155—~839Automated safety check: NotesMIT
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Caption Generatorszhshp/panda-video-generator291—~1.5kAutomated safety check: NotesNone

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  • Yao Geo Intent Miner

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    A skill your agent uses when a user asks for GEO 意图拓词、AI 搜索意图挖掘、AI 搜索问题集、问题簇、追问链路、查询重写、内容选题库、FAQ 题库、监测 Prompt 库, or AI Intent Miner.

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Works with

Questions about Yao Geo Execution Roadmap

What does Yao Geo Execution Roadmap 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。. Yao Geo Execution Roadmap is an agent skill from yaojingang/yao-geo-skills.

How do I install Yao Geo Execution Roadmap in Claude Code?

Run `npx skills add yaojingang/yao-geo-skills --skill yao-geo-execution-roadmap -a claude-code`. Or copy the skill folder (skills/yao-geo-execution-roadmap in yaojingang/yao-geo-skills) into .claude/skills/yao-geo-execution-roadmap in your project. Claude Code loads it when a task matches its description.

How do I install Yao Geo Execution Roadmap in Codex?

Run `npx skills add yaojingang/yao-geo-skills --skill yao-geo-execution-roadmap -a codex`. Or copy the skill folder (skills/yao-geo-execution-roadmap in yaojingang/yao-geo-skills) into .agents/skills/yao-geo-execution-roadmap in your project. Codex loads it when a task matches its description.

Can I use Yao Geo Execution Roadmap in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yaojingang/yao-geo-skills --skill yao-geo-execution-roadmap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yao-geo-execution-roadmap, .gemini/skills/yao-geo-execution-roadmap, .github/skills/yao-geo-execution-roadmap and .opencode/skills/yao-geo-execution-roadmap in your project.

What does Yao Geo Execution Roadmap need to run?

Going by SKILL.md and its folder, Yao Geo Execution Roadmap needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Yao Geo Execution Roadmap access the network?

SKILL.md names 1 domain. As links in the text: x.com. This is read from the text; nothing was executed.

Is Yao Geo Execution Roadmap safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Yao Geo Execution Roadmap use?

Yao Geo Execution Roadmap is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Yao Geo Execution Roadmap use?

About 646 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.

What are the alternatives to Yao Geo Execution Roadmap?

Skills that share tags, products or a category with Yao Geo Execution Roadmap: SGLang Model Day-0 Support (BBuf/AI-Infra-Auto-Driven-SKILLS, 938 stars), Geo (liangdabiao/GEO-Content-Optimizer-Skill, 205 stars), Bridgic LLMs (bitsky-tech/bridgic, 155 stars) and Model Architecture Diagram Finder (BBuf/AI-Infra-Auto-Driven-SKILLS, 938 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Yao Geo Execution Roadmap?

yaojingang (a GitHub user) maintains it in yaojingang/yao-geo-skills, which has 871 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 1, 2026.

Source: yaojingang/yao-geo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.