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cb-user-persona-buildercb 用户角色构建器

Agent Skill

cb-user-persona-builder 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

1,983

周安装

81

GitHub Stars

公开资料未说明

下载量

635
OpenClaw

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

MIT-0

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:cb-user-persona-builder(cb 用户角色构建器)
来源仓库:https://github.com/harrylabsj/cb-user-persona-builder
安装命令:
openclaw skills install cb-user-persona-builder
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install cb-user-persona-builder

简介

CB 用户角色构建器融合文化背景与市场数据,创建可验证的海外市场用户画像。

  • 适合产品团队在国际化阶段深入理解目标人群行为动机与决策路径。
  • 输出多维属性卡片,包括消费习惯、媒介接触点与痛点优先级,支持功能设计对齐。
  • 收集用户信息时应遵循最小化原则,不得保存真实身份数据或用于非授权用途。
  • 建议通过问卷调研与 A/B 测试持续验证角色假设,避免刻板印象影响产品设计。

SKILL.md

slug
cb-user-persona-builder
version
1.0.0
type
descriptive
language
en

Overseas Market User Persona Builder

Overview

This skill provides a research-backed method for constructing foreign-market user personas that go beyond simple demographic slices. It guides you through defining at least eight distinct persona dimensions, triangulating data from multiple sources, overlaying cultural value frameworks, mapping jobs-to-be-done across functional, emotional, and social dimensions, prioritizing segments, and building a validation loop to reduce stereotyping and keep personas grounded in evidence.

The output is a set of persona profiles you can use to align product, marketing, and sales decisions when entering a new market.

When to Use

  • You are entering a market you have never operated in and lack first-hand customer knowledge
  • Your domestic personas do not transfer because cultural context changes buyer motivation
  • You are building a localization roadmap and need to decide which user segments to prioritize first
  • You are preparing user research for a new market and want a structured persona framework to guide your questions
  • Your investors or leadership want evidence-based user models before approving an expansion plan

Inputs to Collect

  1. Product or service description: what you sell, how it is used, and what problem it solves
  2. Existing market data: customer data from your domestic market, even if not directly transferable
  3. Category intelligence: industry reports, analyst research, or trade publications covering the target market
  4. Cultural context notes: any prior exposure to the target market, including personal experience, research, or local advisor input
  5. Target market definition: country or countries, urban vs. rural, language, and socioeconomic segmentation
  6. Business constraints: price range, regulatory context, and the minimum viable segment size for your business model
  7. Known gaps: what you explicitly do not know about this market that you most need to understand

Workflow

  1. Convert the user’s market-entry question into explicit persona hypotheses, separating demographics from behaviors, motivations, anxieties, and purchase triggers.
  2. Identify evidence sources for each hypothesis, such as customer interviews, support logs, reviews, social listening, sales conversations, and competitor communities.
  3. Build persona cards with jobs-to-be-done, cultural context, trust requirements, buying committee influence, objections, and preferred channels.
  4. Prioritize personas by strategic fit, accessibility, expected value, urgency of pain, and ability to validate quickly.
  5. Define validation tasks that replace stereotypes with evidence, including interview prompts, message tests, and disconfirming questions.

Output Modules

  1. Persona Dimension Framework — table with eight-plus dimensions and evidence quality labels
  2. Data-Source Triangulation Guide — source map with conflict flags for each dimension
  3. Cultural Value Overlay — contrast summary between home and target market with adjustment notes
  4. Jobs-to-be-Done Map — functional, emotional, and social jobs with importance and satisfaction ratings
  5. Segment Prioritization Matrix — scored and plotted segments with selection rationale
  6. Persona Validation Loop — interview questions, assumption tracking table, review schedule, and usage rules

Example Prompts

  • "We built three personas for the Indian market based on our Southeast Asia data. Help us validate them before we share them with our product team."
  • "Our product is a project management tool for creative agencies. We want to enter the French market. Build personas that account for French workplace culture."
  • "We are a health-tech startup entering Japan. How do we overlay cultural dimensions onto our existing buyer personas without stereotyping?"
  • "We need to present user personas to our board for our Brazil expansion. Help us build a research-backed framework that goes beyond basic demographics."

Safety and Limitations

Personas are hypotheses derived from available evidence, not definitive descriptions of real people. They must be treated as working models and updated continuously with new evidence. Using personas to make broad cultural generalization or policy decisions without validation risks stereotyping and misallocation of resources. This skill provides a structured framework for building and validating personas; it does not replace primary research.

Acceptance Criteria

  • Defines at least eight persona dimensions beyond basic demographics for each persona
  • Includes evidence quality labels (Confirmed / Inferred / Assumed) for each dimension
  • Produces at least three complete persona templates when sufficient market context is available
  • Covers functional, emotional, and social jobs-to-be-done for each persona
  • Includes a validation plan with discovery interview questions, assumption tracking, and review schedule

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

85.4%
按下载量换算542

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

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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