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Agent Skill · 研究检索

analytics-measurement(分析测量)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

analytics-measurement 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 70,176。

总安装 212周安装 9GitHub Stars 5下载 74核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analytics-measurement(分析测量)
来源仓库:https://github.com/dmend3z/tribo-skills
仓库路径:skills/analytics-measurement
安装命令:
npx skills add https://github.com/dmend3z/tribo-skills --skill analytics-measurement
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dmend3z/tribo-skills --skill analytics-measurement

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供营销分析与测量框架,聚焦关键业务目标与受众定义。指导转化跟踪与 ROI 计算方法,避免常见数据陷阱。帮助建立聚焦北极星指标与 OKR 对齐的指标体系。需明确业务目标与成功动作,防止过度追踪非关键路径事件。analytics-measurement 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/analytics-measurement

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dmend3z/tribo-skills --skill analytics-measure…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

analytics-measurement 怎么安装?

在终端执行 npx skills add https://github.com/dmend3z/tribo-skills --skill analytics-measurement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analytics-measurement 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analytics-measurement 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

analytics-measurement 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

analytics-measurement 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analytics-measurement 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analytics-measurement

分析测量 · 本页

2125只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Analytics & Measurement

Overview

This skill provides a framework for implementing best practices in marketing analytics and measurement, helping you focus on what matters and avoid common pitfalls.

Keywords: analytics, measurement, marketing analytics, data analysis, conversion tracking, ROI

Discovery & Planning Questions

  • What are the primary business objectives you want your marketing to achieve? (e.g., increase sales, generate leads, build brand awareness)
  • Who is your target audience? Can you describe your ideal customer?
  • What are the most important actions you want visitors to take on your website? (e.g., make a purchase, fill out a contact form, subscribe to a newsletter)
  • What marketing channels are you currently using? (e.g., SEO, social media, email marketing, paid ads)
  • What analytics tools, if any, do you currently have in place? (e.g., Google Analytics, a CRM, etc.)
  • What is your timeline for seeing results from your marketing efforts?
  • Are there any specific metrics or KPIs you are currently tracking?
  • What does success look like for you in the next 90 days?
  • Do you have any existing reports or dashboards? What do you like or dislike about them?

Instructions

When this skill is active, your primary goal is to help the user make data-driven decisions to improve their marketing performance. You should guide them through the process of setting clear goals, tracking the right metrics, and analyzing their data to uncover actionable insights.

S-Tier Tactics (Must-Do)

  • Define SMART Goals: Guide the user to set Specific, Measurable, Achievable, Relevant, and Time-bound goals for their marketing campaigns.
  • Focus on Actionable Metrics: Help the user differentiate between vanity metrics and actionable metrics that tie directly to their business goals.
  • Implement a Centralized Analytics Platform: Recommend and guide the user in setting up a centralized analytics platform like Google Analytics to track website traffic, user behavior, and conversions.
  • Track Conversions: Assist the user in identifying and tracking key conversion actions on their website, such as purchases, form submissions, or newsletter sign-ups.

A-Tier Tactics (Highly Effective)

  • A/B Testing: Encourage and help the user to run A/B tests on their webpages, emails, and other marketing assets to optimize for conversions.
  • Customer Journey Tracking & Multi-Touch Attribution: Help the user understand the different touchpoints a customer has with their brand and implement a multi-touch attribution model to accurately measure the impact of each channel.
  • Audience Segmentation: Guide the user in segmenting their audience based on demographics, behavior, or interests to deliver more personalized and effective marketing messages.
  • Marketing Mix Modeling (MMM): For users with more complex marketing mixes, introduce the concept of MMM to help them understand the impact of their various marketing tactics on sales and optimize their marketing spend.

Common Mistakes to Avoid (D-Tier)

  • Focusing Solely on Last-Click Attribution: Advise the user against relying solely on last-click attribution and explain the importance of understanding the entire customer journey.
  • Ignoring Data Quality: Emphasize the importance of data quality and guide the user on how to ensure their data is accurate, complete, and consistent.
  • Not Having a Measurement Plan: Stress the need for a measurement plan that outlines their business objectives, strategies, and KPIs.

Examples

Example 1: Setting up conversion tracking *User: "I want to track how many people sign up for my newsletter." *Claude: "Great! That's a valuable conversion to track. To get started, we'll need to create a 'Thank You' page that users are redirected to after they sign up. Then, we'll set up a goal in Google Analytics to track how many people land on that page. This will give us a clear picture of how many newsletter sign-ups you're getting and where they're coming from."

Example 2: A/B testing a headline *User: "My landing page isn't converting very well. What can I do?" *Claude: "One effective strategy is to A/B test your headline. We can create a second version of your landing page with a different headline and then show each version to 50% of your visitors. After a week or two, we can analyze the data to see which headline resulted in more conversions. This will help us make a data-driven decision to improve your page's performance."

Workflow

  1. Goal Setting: Start by defining the user's business objectives and translating them into SMART marketing goals.
  2. Measurement Plan: Create a measurement plan that outlines the key performance indicators (KPIs) for each goal.
  3. Implementation: Guide the user in implementing the necessary tracking and analytics tools.
  4. Data Collection: Ensure data is being collected accurately and consistently.
  5. Analysis: Analyze the data to identify trends, patterns, and insights.
  6. Optimization: Provide actionable recommendations for optimizing marketing campaigns based on the analysis.
  7. Reporting: Help the user create reports and dashboards to communicate the results to stakeholders.

平台分布

Codex

37.25%
按下载量换算28

Claude

27.93%
按下载量换算21

Cursor

18.95%
按下载量换算14

Gemini CLI

9.28%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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