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面向开发者工具与开源项目的 GEO 监测技能,支持构建查询池、监控多模型描述、评分与报告、内容上线前检查、负面答案修复及 T+7/T+14 回归验证;提供快速演示、手工粘贴和 API 采集模式。

veeicwgy
veeicwgy
热度 72.66
最近更新 2026-04-21 15:41:58
分类:营销依赖:代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景:市场分析 / 报告撰写 / 研究 / 工作流 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add geo-monitor-os-skill
Metadata
name
geo-monitor-toolkit
description
Use when the user wants to monitor how ChatGPT, Claude, Gemini, and other LLMs describe a developer tool, API, SDK, or open-source project. GEO Monitor Toolkit is the companion skill for the geo-monitor-toolkit repo and covers query pool design, four-metric monitoring, model-specific content placement, GEO content checks, negative-answer repair, activation analysis, and T+7 or T+14 regression validation.
license
MIT
allowed-tools
Read, Write, Edit, Bash
metadata
{"openclaw":{"emoji":"📈","author":"Manus AI","homepage":"https://github.com/veeicwgy/geo-monitor-toolkit"}}

Monitor How LLMs Describe Your Dev Tool

Use this skill as the main GEO workflow router for developer tools and open-source products.

Brand: GEO Monitor Toolkit

Companion repo: geo-monitor-toolkit

Use this when you want an agent to help you monitor how LLMs describe your product, build a GEO query pool, diagnose negative or outdated answers, and plan what to fix next.

Start Here

Copy one of these prompts to begin:

  • Analyze how ChatGPT and Claude describe my API docs
  • Build a GEO query pool for my SDK
  • Find negative or outdated LLM claims about my project

30-Second Result

Typical input

  • product truth such as a README, docs, changelog, integrations, or positioning page
  • GEO evidence such as copied model answers, screenshots, or cited URLs
  • scope such as target models, languages, regions, or a repeated query set

What this skill returns

  • a reusable query pool
  • raw evidence and a score draft plan
  • a monitoring summary and report outline
  • a repair backlog with T+7 or T+14 validation points

Companion demo and sample outputs

Trigger

Use this skill when the task is any of the following:

  1. generate a GEO keyword matrix and Query Pool from product truth;
  2. monitor how multiple LLMs mention, recommend, or misunderstand a product;
  3. plan model-specific content placement based on datasource patterns;
  4. check whether a draft page, FAQ, changelog, or case study is GEO-ready;
  5. repair wrong, negative, outdated, or competitor-only answers;
  6. verify whether a repair action improved metrics at T+7 or T+14;
  7. help a user choose between quickstart replay, manual paste mode, and API collection mode.

Beginner Routing

When the user is new to the repository, route them in this order.

Situation Next step
Needs environment check first run make doctor
Wants zero-cost first run run bash quickstart.sh
Wants a short explanation first open docs/for-beginners.md
Wants deeper onboarding open docs/getting-started.md
Wants the English repository overview open README.md
Wants the Chinese repository overview open README.zh-CN.md

GEO Strategy

Always keep the workflow in this order:

Stage Goal
Keyword strategy turn product truth into scenario matrix, three-layer keywords, and Query Pool seeds
Monitoring score mention, positive mention, capability accuracy, and ecosystem accuracy
Placement map each target model to likely datasource channels and publication surfaces
Repair classify bad answers into information error, negative evaluation, outdated information, or competitor insertion
Activation analyze whether answers help a user install, integrate, or invoke the product
Regression compare follow-up runs and check whether metrics improved after action

Mode Selection

Choose the execution mode before running monitoring.

Mode Use when Typical inputs
Quickstart replay user wants the fastest first run without API setup sample model config + sample manual responses
Manual paste mode user already has copied answers from chat tools Query Pool + manual response JSON
API collection mode user wants repeatable real monitoring Query Pool + model config + API credentials

Input Contract

Prepare as many of the following as possible before execution.

Input Examples
Product truth README, docs, changelog, integrations, positioning
GEO evidence raw answers, screenshots, copied responses, cited links
Monitoring scope models, languages, regions, dates, repeated query set
Publishing targets docs, blog, GitHub, Q&A, partner channels

Workflow Router

Choose the next sub-skill according to the user's immediate need.

Situation Next Skill
Need keyword matrix and Query Pool geo-keyword-matrix
Need weekly monitoring, evidence logging, and report output geo-monitor
Need pre-publish GEO QA for content geo-content-check
Need to repair bad answers and define regression checks geo-fix-negative

Required Reading Order

For a full GEO program, read these repository documents in sequence:

  1. playbooks/geo-workflow-architecture.md
  2. playbooks/keyword-strategy.md
  3. playbooks/monitoring-system.md
  4. playbooks/model-datasources.md
  5. playbooks/content-platform-map.md
  6. playbooks/negative-fix-sop.md

Output Contract

Always preserve the following outputs.

Output Description
Query foundation scenario matrix, keyword layers, Query Pool
Monitoring outputs raw evidence, score draft, summary, report, leaderboard or overview
GEO action plan content placement priorities and repair backlog
Regression record T+7 and T+14 comparisons after key fixes

Positioning

GEO Monitor Toolkit is the skill layer for the geo-monitor-toolkit repo.

  • Use the repo when you want runnable demos, scripts, and report artifacts.
  • Use the skill when you want an agent-guided workflow for monitoring, repair, and regression planning.

Handoff Rules

At the end of each run, preserve:

  1. which product was optimized;
  2. which models and languages were in scope;
  3. which queries are reused in weekly tracking;
  4. what the top three GEO weaknesses are;
  5. what actions are already completed and what still needs validation.