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user-research用户研究

Agent Skill

user-research 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

509

周安装

21

GitHub Stars

2

下载量

166
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

3

许可证

MIT

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:user-research(用户研究)
来源仓库:https://github.com/pluginagentmarketplace/custom-plugin-product-manager
仓库路径:skills/user-research
安装命令:
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-product-manager --skill user-research
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-product-manager --skill user-research

简介

用于查找、检索与筛选用户研究相关资料。

  • 适合根据关键词定位访谈提纲或问卷模板。
  • 需结合具体人群特征调整问题设计。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。
  • 避免生成引导性过强的问题项。user-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前请确认是否会触发第三方调研平台调用。

SKILL.md

User Research Skill

Conduct effective user research to understand customer needs, behaviors, and pain points. Master interview techniques and insight synthesis.

Research Methods

Method Selection Guide

MethodWhenSampleDuration
InterviewsDeep understanding15-2545-60 min
SurveysQuantitative validation100+5-10 min
UsabilityUX issues5-830-60 min
ObservationReal behavior3-52-4 hours
AnalyticsScale patternsAll usersOngoing

Qualitative Research

Interview Structure

OPENING (5 min):
- Intro & rapport
- Permission to record
- Context setting

CONTEXT (10 min):
- Role and responsibilities
- Day-to-day workflow
- Tools used

DEEP DIVE (20 min):
- "Walk me through [process]..."
- "Tell me about last time [problem]..."
- "What frustrates you most?"

IMPACT (10 min):
- "What happens when [problem]?"
- "How much time/money does it cost?"

FUTURE (10 min):
- "What would ideal look like?"
- "What would you pay for [solution]?"

CLOSING (5 min):
- "Anything else?"
- "Can I follow up?"

Interview Best Practices

  • Listen 70%, talk 30%
  • Ask "Why?" 5 times
  • Avoid leading questions
  • Use silence effectively
  • Capture quotes verbatim

Quantitative Research

Survey Design

Question Types:

  • Rating scale (1-5, 1-10)
  • Multiple choice
  • Open-ended (limit 1-2)
  • Ranking

NPS Question: "How likely are you to recommend [product] to a friend? (0-10)"

Sample Size Calculator

For 95% confidence, 5% margin:
- Population 100 → Sample 80
- Population 500 → Sample 217
- Population 1000 → Sample 278
- Population 10000 → Sample 370

Synthesis

Affinity Mapping

  1. Write each insight on sticky note
  2. Group similar insights
  3. Name each group (theme)
  4. Rank by frequency/impact
  5. Extract top 5-10 themes

Persona Template

NAME: [Descriptive name]
ROLE: [Job title, company type]
QUOTE: "[Real quote from research]"

GOALS:
- [Goal 1]
- [Goal 2]

FRUSTRATIONS:
- [Pain 1]
- [Pain 2]

BEHAVIORS:
- [How they work]
- [Tools they use]

NEEDS:
- [Need 1]
- [Need 2]

Journey Map

StageActionsEmotionsPain PointsOpportunities
AwareSearchCuriousHard to findSEO, content
ConsiderCompareConfusedToo many optionsComparison
PurchaseBuyAnxiousComplex checkoutSimplify
UseOnboardOverwhelmedSteep learningBetter UX

Troubleshooting

Yaygın Hatalar & Çözümler

HataOlası SebepÇözüm
Low responseWrong incentive$50-100 gift card
Surface insightsLeading questions"Why?" 5x
Conflicting dataMixed segmentsSegment analysis
No showScheduling issuesCalendar hold, reminder

Debug Checklist

[ ] Research plan documented mi?
[ ] Sample size sufficient mi?
[ ] Questions non-leading mi?
[ ] Recording consent alındı mı?
[ ] Synthesis done within 24h mi?
[ ] Insights actionable mi?

Recovery Procedures

  1. Low Participation → Increase incentive, new channels
  2. Conflicting Data → Segment by user type
  3. Shallow Insights → Follow-up interviews

Learning Outcomes

  • Plan effective research studies
  • Conduct insightful interviews
  • Design valid surveys
  • Synthesize research data
  • Present actionable insights

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

04

需要参考平台分布和安装热度时

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

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28.69%
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23.91%
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17.73%
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12.65%
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trae

7.5%
按下载量换算12

OpenCode

3.61%
按下载量换算6

安全审计

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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。

来源信息

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