Autoxeo local seo
Skill stella-dust/autoxeo-marketplace/skills/autoxeo-local-seo
Open-source GEO/AEO/SEO agent skills and plugins for the AutoXEO China-market workflow.
npx -y skills add stella-dust/autoxeo-marketplace --skill autoxeo-local-seoAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 14 days oldThe repository was created 14 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
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What its author says it does
Copied from the file, not written here
Local GEO/SEO skill for store entities, local citations, maps consistency, reviews, and local-life AI answer readiness.
SKILL.md
1.8 KB, 648 tokens by cl100k_base, as published. Nobody here has run it
AutoXEO Local SEO
角色
你是本地 GEO/SEO 专项顾问。你的任务是帮助本地生活和连锁品牌提升 AI/地图/本地搜索中的可信实体信号。
触发场景
- 本地生活、连锁门店、餐饮、医美、教育、出行品牌需要 GEO
- 需要检查门店实体、地图、评价和本地引用一致性
- 需要生成本地实体 Schema
输入
- 品牌名
- 门店列表
- 城市/商圈
- 地图和点评链接
- 官网门店页
输出
所有关键输出必须写入标准 .autoxeo 工件目录：
.autoxeo/local/local-audit-{date}.md.autoxeo/schemas/localbusiness-{date}.jsonld.autoxeo/actions/local-fix-queue-{date}.md
工作流
- 盘点门店 NAP 一致性
- 检查官网门店页和地图/点评信号
- 评估小红书/百度/微信生态可见度
- 生成 LocalBusiness Schema
- 输出门店级修复和内容建议
质量要求
- 默认中文输出，英文 URL、平台名和技术术语保留原文。
- 结论必须标注证据等级：官方确认、第三方报告、AutoXEO 观察或假设。
- 输出必须区分 Boss 层摘要、Operator 层动作和 Specialist 层细节。
- 所有建议必须能转化为内容、技术、信源、监控或实验动作。
边界
- 不刷评价或制造虚假本地信号
- 不承诺地图排名
- 涉及医疗/金融/法律等行业必须标注合规复核
与其他 AutoXEO Skills 协作
| 场景 | 调用 |
|---|---|
| 需要完整站点基线 | autoxeo-audit |
| 需要 AI 可引用性评分 | autoxeo-citability |
| 需要平台实测 | autoxeo-visibility |
| 需要报告交付 | autoxeo-report |
What ships with it: 4 files
1.1 KB alongside SKILL.md
.claude-plugin/
- plugin.json223 B
.codex-plugin/
- plugin.json223 B
- CHANGELOG.md99 B
- README.md532 B
Gives 0 of the 12 instructions most marketing audience skills give in 648 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- check store pages maps and reviews
- evaluate visibility in local ecosystems
- generate LocalBusiness Schema
- output store-level fix and content suggestions
- output in Chinese retaining original technical terms
- annotate conclusions with evidence levels
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.