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Agent Skill · 研究检索

analyzing-user-feedback(分析用户反馈)

analyzing-user-feedback 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

analyzing-user-feedback 是研究检索类 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,293。

总安装 26,664周安装 1,106GitHub Stars 715下载 8,712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:analyzing-user-feedback(分析用户反馈)
来源仓库:https://github.com/refoundai/lenny-skills
仓库路径:skills/analyzing-user-feedback
安装命令:
npx skills add https://github.com/refoundai/lenny-skills --skill analyzing-user-feedback
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/refoundai/lenny-skills --skill analyzing-user-feedback

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用 56 位产品领导者的框架将客户反馈综合为可行的产品见解。

指导用户跨多个反馈渠道(NPS、支持、访谈、社交)识别模式,并按行为途径而非人口统计进行聚类 强调区分根本原因和表面投诉,并采用技术来发现用户未明确说明的内容 包括优先考虑信号而非噪音、与流失的用户交谈以及跨孤岛汇总见解以防止知识差距的原则 标记常见错误,例如字面理解反馈、过度索引少数群体以及忽视非用户观点

来源仓库内路径:skills/analyzing-user-feedback

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/refoundai/lenny-skills --skill analyzing-user-…;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

analyzing-user-feedback 怎么安装?

在终端执行 npx skills add https://github.com/refoundai/lenny-skills --skill analyzing-user-feedback。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyzing-user-feedback 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。

analyzing-user-feedback 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。

analyzing-user-feedback 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。

analyzing-user-feedback 用的人多吗?

公开数据是累计安装 26,664 次,近一周安装 1,106 次,下载 8,712 次,GitHub 715 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。

analyzing-user-feedback 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyzing-user-feedback

分析用户反馈 · 本页

26,664715只读未明确通过

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

Analyzing User Feedback

Help the user extract actionable insights from customer feedback using techniques from 56 product leaders.

How to Help

When the user asks for help analyzing feedback:

  1. Understand their sources - Ask where feedback is coming from (NPS, support, sales, social, interviews)
  2. Help identify patterns - Assist in clustering feedback into themes and prioritizing by frequency and impact
  3. Challenge surface-level interpretations - Push them to find root causes, not just stated complaints
  4. Connect to action - Help translate insights into product decisions

Core Principles

Feedback is a river, not a lake

Shaun Clowes: "Really smart product managers are constantly swimming in a feedback river. Set up streams of user interview data, NPS, and competitor info to wash over you daily." Make feedback consumption continuous, not episodic.

Users lie (unintentionally)

Bret Taylor: "Taking what a customer says in a focus group is rarely correct. Practice intellectual honesty to distinguish surface-level complaints from root causes." When users say "price," they often mean "value."

Cluster, don't segment

Bob Moesta: "Instead of segmenting by demographics, we cluster by behavioral pathways. It's not one reason why people do things—it's sets of reasons." Look for the 'hire and fire' criteria for different user clusters.

Every support ticket is a product failure

Geoff Charles: "We literally have 'every support ticket is a failure of our product' posted on all channels. Share every negative review with the relevant PM and designer monthly."

The silent signals matter

Ramesh Johari: "There's a lot of information in ratings that are NOT left. The absence of a rating is often a strong signal of a mediocre experience users are too polite to report."

Filter the 80% noise

Jen Abel: "80% of feedback is noise based on legacy habits, 20% is gold that guides the future product. It's the founder's job to interpret what's 'the old way' versus real market needs."

Aggregate across all channels

Brian Balfour: "AI can analyze existing feedback AND identify knowledge gaps—what customers are NOT saying. Aggregate feedback from all sources into a centralized repository."

Talk to churned users

Uri Levine: "The most critical insights come from users who dropped out of the funnel, not those who succeeded. Interview users who churned to find the 'why' behind the failure."

Prioritize future users over vocal minorities

Tamar Yehoshua: "Don't over-index on people unhappy with your changes. Design for the bigger number of people who will use it tomorrow, not the vocal few complaining today."

Make insights stick

Yuhki Yamashata: "The goal is 'memification'—synthesize insights so they're catchy enough for execs to cite in meetings. Use real-world metaphors to explain complex concepts."

Questions to Help Users

  • "Where is your feedback coming from? Are you missing any channels?"
  • "Have you talked to churned users, or only happy customers?"
  • "What's the pattern behind these complaints—what's the root cause?"
  • "Are these requests from early adopters or from users stuck in old habits?"
  • "How will you act on this insight?"

Common Mistakes to Flag

  • Taking feedback literally - Users say they want X but often need Y
  • Only listening to vocal users - Silent majority may have different needs
  • Ignoring non-users - People who didn't convert have critical insights
  • Feedback hoarding - Insights trapped in silos don't help anyone
  • Hindsight bias - Don't dismiss research findings as "obvious" after the fact

Deep Dive

For all 64 insights from 56 guests, see references/guest-insights.md

Related Skills

  • Conducting User Interviews
  • Measuring Product-Market Fit
  • Prioritizing Roadmap
  • Setting OKRs & Goals

平台分布

Codex

36.52%
按下载量换算3,182

Claude

29.63%
按下载量换算2,581

Cursor

17.54%
按下载量换算1,528

Gemini CLI

9.62%
按下载量换算838

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。目前只有一个公开来源,建议同时核对源仓库。

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