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audience-segmenter受众细分器

Agent Skill

audience-segmenter 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

18,410

周安装

846

GitHub Stars

3

下载量

6,761
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:audience-segmenter(受众细分器)
来源仓库:https://github.com/jmsktm/claude-settings
仓库路径:skills/audience-segmenter
安装命令:
npx skills add https://github.com/jmsktm/claude-settings --skill 'Audience Segmenter'
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 'Audience Segmenter'

简介

audience-segmenter 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,如受众分析或市场研究。
  • 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

Audience Segmenter

Divide your audience into meaningful segments that enable targeted, personalized marketing at scale. This skill helps you identify distinct customer groups based on behavior, demographics, psychographics, and value, then tailor your messaging and offers accordingly.

One-size-fits-all marketing underperforms. This skill provides frameworks for discovering natural audience clusters, defining segment criteria, and developing differentiated strategies for each group. The result: higher relevance, better engagement, and improved conversion across all marketing channels.

Essential for marketers, product managers, and growth teams who want to move beyond generic messaging to true personalization.

Core Workflows

Workflow 1: Behavioral Segmentation

  1. Usage Pattern Analysis - How customers interact with product
  2. Purchase Behavior - Frequency, recency, monetary value (RFM)
  3. Engagement Levels - Email opens, site visits, feature usage
  4. Lifecycle Stage - New, active, at-risk, churned
  5. Feature Adoption - Which capabilities they use
  6. Channel Preference - Where they engage most
  7. Segment Definition - Actionable behavioral groups

Workflow 2: Persona Development

  1. Research Foundation - Interviews, surveys, data analysis
  2. Demographic Profiles - Role, company size, industry
  3. Psychographic Insights - Goals, challenges, motivations
  4. Decision-Making Process - How they evaluate and buy
  5. Information Sources - Where they learn and research
  6. Objection Mapping - Common hesitations and concerns
  7. Persona Documentation - Shareable persona cards

Workflow 3: Value-Based Segmentation

  1. Customer Lifetime Value Calculation - LTV by customer
  2. Profitability Analysis - Revenue minus cost to serve
  3. Growth Potential - Expansion opportunity scoring
  4. Churn Risk Assessment - Likelihood of leaving
  5. Tier Definition - VIP, standard, low-value segments
  6. Resource Allocation - Investment by segment value
  7. Retention Strategy - Differentiated approaches

Workflow 4: Segment Activation

  1. Segment Criteria - Clear, measurable definitions
  2. Data Requirements - What's needed to identify segments
  3. Platform Setup - Configure segmentation in tools
  4. Content Mapping - Match content to segment needs
  5. Channel Strategy - Right channel for each segment
  6. Personalization Rules - Dynamic content and offers
  7. Measurement Framework - Track segment performance

Quick Reference

ActionCommand/Trigger
RFM segmentation"Segment customers by RFM analysis"
Persona creation"Create buyer persona for [audience]"
Behavioral segments"Identify behavioral segments in [data]"
Value tiers"Create customer value tiers"
Segment messaging"Develop messaging for [segment]"
Lifecycle stages"Define customer lifecycle stages"
Lookalike criteria"Identify traits of best customers"
Segment strategy"Create strategy for [segment]"

Best Practices

  • Start with data - Segments should emerge from reality, not assumptions
  • Actionable segments - If you can't reach them differently, why segment?
  • Mutual exclusivity - Clear boundaries between segments
  • Meaningful size - Segments must be large enough to matter
  • Stability over time - Segments shouldn't shift constantly
  • Accessibility - Can you actually identify and reach them?
  • Profitability focus - Understand segment economics
  • Document criteria - Clear definitions everyone understands
  • Validate with research - Quantitative and qualitative
  • Avoid over-segmentation - More isn't always better
  • Update regularly - Segments evolve as markets change
  • Test segment strategies - Measure differential response
  • Share across teams - Sales, product, support benefit from segments
  • Consider journey stage - Segment by where they are
  • Balance precision and scale - Too precise = too small

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

34.95%
按下载量换算2,363

Claude

29.33%
按下载量换算1,983

Cursor

18.74%
按下载量换算1,267

Gemini CLI

8.83%
按下载量换算597

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

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