Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

campaign-analyzer活动分析器

Agent Skill

campaign-analyzer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,628

周安装

619

GitHub Stars

3

下载量

5,019
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:campaign-analyzer(活动分析器)
来源仓库:https://github.com/jmsktm/claude-settings
仓库路径:skills/campaign-analyzer
安装命令:
npx skills add https://github.com/jmsktm/claude-settings --skill 'Campaign Analyzer'
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/jmsktm/claude-settings --skill 'Campaign Analyzer'

简介

campaign-analyzer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息整理的场景,如营销活动分析。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需指定技能名称和仓库地址。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。
  • 可结合原始 README 进一步核验具体用法和功能边界。

SKILL.md

Campaign Analyzer

Turn marketing data into actionable insights that improve campaign performance. This skill helps you systematically analyze campaigns across channels, identify what's working, diagnose what's not, and make data-driven optimization decisions.

Raw metrics don't tell stories - this skill helps you find the narrative in your data. From awareness campaigns to lead generation to e-commerce, learn to measure what matters, benchmark against industry standards, and present findings that drive better marketing decisions.

Built for marketing managers, performance marketers, analysts, and anyone responsible for demonstrating marketing impact and improving results.

Core Workflows

Workflow 1: Campaign Performance Review

  1. Goal Alignment - Compare results to objectives
  2. KPI Dashboard - Track primary and secondary metrics
  3. Funnel Analysis - Identify conversion bottlenecks
  4. Channel Attribution - Understand contribution by source
  5. Spend Efficiency - Calculate cost metrics (CPM, CPC, CPA, ROAS)
  6. Audience Performance - Segment by demographic/behavior
  7. Creative Analysis - Identify top-performing assets
  8. Recommendation Synthesis - Actionable next steps

Workflow 2: Multi-Channel Analysis

  1. Channel Mapping - All touchpoints in customer journey
  2. Attribution Modeling - First touch, last touch, multi-touch
  3. Cross-Channel Synergies - How channels work together
  4. Budget Allocation Review - Spend vs performance by channel
  5. Audience Overlap - Reach and frequency across channels
  6. Journey Mapping - Path to conversion analysis
  7. Optimization Recommendations - Reallocation suggestions

Workflow 3: Creative Performance Analysis

  1. Asset Inventory - All creative variations tested
  2. Performance Ranking - Best to worst performers
  3. Element Analysis - What elements drive performance
  4. Format Comparison - Static vs video vs carousel
  5. Message Testing - Which value props resonate
  6. Creative Fatigue - Performance over time
  7. Learning Documentation - Insights for future creative

Workflow 4: ROI & Attribution Analysis

  1. Revenue Attribution - Connect marketing to revenue
  2. Customer Acquisition Cost - Fully-loaded CAC calculation
  3. Lifetime Value Analysis - LTV by acquisition channel
  4. ROAS Calculation - Return on ad spend by campaign
  5. Payback Period - Time to recoup acquisition cost
  6. Incrementality Testing - True marketing impact
  7. Budget Optimization Model - Optimal allocation recommendations

Quick Reference

ActionCommand/Trigger
Campaign review"Analyze performance of [campaign name]"
Channel comparison"Compare performance across [channels]"
ROI calculation"Calculate ROI for [marketing initiative]"
Creative analysis"Identify top performing creative"
Funnel analysis"Find conversion bottlenecks"
Spend optimization"Recommend budget reallocation"
Attribution review"Analyze attribution for [campaign]"
Executive summary"Create executive summary of [campaign results]"

Best Practices

  • Start with goals - Analysis serves objectives, not vanity
  • Define success upfront - Benchmarks before launch
  • Segment everything - Aggregate data hides insights
  • Compare apples to apples - Normalize for meaningful comparison
  • Look for patterns - Single data points mislead
  • Context matters - Seasonality, competition, market conditions
  • Attribution is imperfect - Acknowledge model limitations
  • Focus on actionable - Insights must lead to actions
  • Trend over point-in-time - Direction matters more than absolute
  • Test before scaling - Validate before major spend shifts
  • Document learnings - Build institutional knowledge
  • Automate reporting - Spend time on analysis, not data pulling
  • Visualize effectively - Charts that tell stories
  • Executive vs detailed - Right depth for right audience
  • Lead with recommendations - What should we do differently?

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.11%
按下载量换算1,762

Claude

33.85%
按下载量换算1,699

Cursor

18.3%
按下载量换算918

Gemini CLI

9.28%
按下载量换算466

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills