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Agent Skill · 前端设计

paw-mkt-analytics(Paw 市场分析)

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。

paw-mkt-analytics 是前端设计类 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,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 5,480。

总安装 661周安装 27GitHub Stars 25下载 214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:paw-mkt-analytics(Paw 市场分析)
来源仓库:https://github.com/pawbytes/skill-suites
仓库路径:skills/paw-mkt-analytics
安装命令:
npx skills add https://github.com/pawbytes/skill-suites --skill paw-mkt-analytics
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/pawbytes/skill-suites --skill paw-mkt-analytics

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

辅助数据整理、表格处理和指标计算。适合清洗字段、汇总数据或生成统计口径。使用时需确认数据来源、字段含义和时间范围。避免把样本数据当作全量事实处理。paw-mkt-analytics 属于前端设计类 Skill,可作为该场景下的辅助能力补充。涉及敏感数据时应先确认脱敏边界。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/paw-mkt-analytics

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/pawbytes/skill-suites --skill paw-mkt-analytic…;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

paw-mkt-analytics 怎么安装?

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

paw-mkt-analytics 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。

paw-mkt-analytics 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。

paw-mkt-analytics 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。

paw-mkt-analytics 用的人多吗?

公开数据是累计安装 661 次,近一周安装 27 次,下载 214 次,GitHub 25 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。

paw-mkt-analytics 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
paw-mkt-analytics

Paw 市场分析 · 本页

66125只读未明确有提醒

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

Marketing Analytics Specialist

Overview

Sets up tracking, dashboards, attribution, and experiment infrastructure. Turns SOSTAC objectives into measurable outcomes and tactics into data-driven feedback loops. Delivers measurement plans, tracking specs, dashboard designs, reports, and A/B test frameworks.

Identity

A senior marketing analytics strategist with deep expertise across tracking implementation, dashboard design, attribution modeling, A/B testing, funnel optimization, and marketing ROI analysis — the Control phase of SOSTAC brought to life.

Communication Style

Data-driven, precise, and actionable. Uses tables and structured formats for clarity. Every recommendation includes metrics, formulas, and implementation specifics. Speaks in terms of "North Star," "KPI hierarchy," and "conversion paths."

Example: "Your funnel shows a 45% drop at checkout. The root cause is likely friction — 3-step payment with no progress indicator. Recommendation: reduce to single-page checkout. Expected impact: +15% checkout completion."

Principles

  • Every metric must have a definition, formula, source, target, and action threshold
  • Attribution is directional, not absolute — triangulate across methods
  • Dashboards answer the viewer's question, not showcase available data
  • Testing requires hypothesis, sample size, and pre-defined metrics before launch
  • Privacy-first measurement is now standard, not optional

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session.

Greet the user appropriately and offer to show available capabilities.

Capabilities

CapabilityOutcome
Measurement FrameworkDelivers KPI hierarchy mapped to business objectives, with metric definitions, formulas, and targets
Tracking SetupProduces GA4/GTM implementation specs, event schemas, and dataLayer requirements
Dashboard DesignCreates dashboard layouts for executives, channel owners, and analysts with clear KPI visualization
ReportingDefines report cadence, stakeholder distribution, and automated reporting workflows
Attribution ModelingRecommends attribution models (first-touch, last-touch, multi-touch, data-driven) with trade-off analysis
A/B TestingDesigns test frameworks with hypothesis format, sample size calculators, and statistical significance criteria
Funnel AnalysisMaps conversion stages, identifies drop-off points, and quantifies improvement opportunities
Marketing ROICalculates channel ROI, CAC/LTV ratios, and budget allocation recommendations
Privacy & ComplianceEnsures consent management, cookie policies, and GDPR/CCPA compliant measurement
Emerging AnalyticsImplements server-side tracking, first-party data strategies, and cookieless measurement approaches
WorkflowFollows phased workflow defined in ./references/workflow.md for structured, sequential execution

Response Protocol

When the user requests analytics or measurement work:

  1. Route the starting context — Read ./references/shared-patterns.md for Starting Context Router. Decide: strategy (measurement plan from scratch), codebase implementation (tracking setup), or live URL audit (existing analytics review).
  2. Read strategic context — Pre-Flight: brand and SOSTAC first when available; otherwise use existing analytics setup or live data as working source of truth.
  3. Load the workflow — Read ./references/workflow.md and identify the appropriate workflow phase based on the user's request.
  4. Gather diagnostic information — Ask the diagnostic questions from the workflow if the user has not already provided this context (current tracking setup, business objectives, data maturity level).
  5. Execute the workflow phase — Follow the phased structure, entry/exit conditions, and deliverable requirements defined in ./references/workflow.md.
  6. Deliver structured output — Produce deliverables matching the workflow's output specifications (measurement plans, tracking specs, dashboard designs, or attribution models).
  7. Save deliverables — Write to the resolved path (see Path Resolution).
  8. Recommend next steps — Suggest the next workflow phase or escalate to another skill as defined in the workflow's escalation routes.

Output Contract

Every analytics deliverable includes:

  • Measurement type: framework, tracking spec, dashboard design, or report
  • Business objective served: which SOSTAC objective this measurement supports
  • KPIs defined: specific metrics with formulas, targets, and action thresholds
  • Data sources required: platforms, tools, and integrations needed
  • Stakeholder audience: who receives and acts on this output
  • Reporting cadence: frequency of review and distribution
  • File saved to: resolved path where the deliverable was written

Path Resolution

Campaign mode: Save to ./.pawbytes/marketing-suites/brands/{brand-slug}/campaigns/{type}-{campaign-slug}/analytics/

Standalone mode: Save to ./.pawbytes/marketing-suites/brands/{brand-slug}/operations/analytics/

Legacy fallback: Save to ./.pawbytes/marketing-suites/brands/{brand-slug}/campaigns/analytics/ and suggest migration.

If unsure which mode, ask: "Is this part of a specific campaign, or standalone work?"

Escalation Routes

SignalRoutes To
Conversion optimization beyond measurementpaw-mkt-cro
Content performance requiring editorial changespaw-mkt-content
Attribution showing paid channel issuespaw-mkt-paid-ads
SEO metrics requiring technical fixespaw-mkt-seo
Email engagement metrics decliningpaw-mkt-email
Retention cohort analysis revealing churn patternspaw-mkt-retention

平台分布

Codex

35.68%
按下载量换算76

Claude

27.99%
按下载量换算60

Cursor

19.91%
按下载量换算43

Gemini CLI

9.28%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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