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Agent Skill · 研究检索

product-knowledge(product 知识)

product-knowledge 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。

product-knowledge 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,权限为需要联网;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 72,323。

总安装 188周安装 8GitHub Stars 12下载 66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:product-knowledge(product 知识)
来源仓库:https://github.com/louisblythe/sales-skills
仓库路径:skills/product-knowledge
安装命令:
npx skills add https://github.com/louisblythe/sales-skills --skill product-knowledge
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/louisblythe/sales-skills --skill product-knowledge

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。

用于查找、检索和筛选相关信息。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。适合根据关键词、任务场景快速定位候选结果。安装前建议确认权限范围和维护状态, 以及是否会触发联网或文件读写。

product-knowledge 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/product-knowledge

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/louisblythe/sales-skills --skill product-knowl…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

product-knowledge 怎么安装?

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

product-knowledge 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。

product-knowledge 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

product-knowledge 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。

product-knowledge 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 12 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。

product-knowledge 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。

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。

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
product-knowledge

product 知识 · 本页

18812需要联网未明确通过

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

Product Knowledge in Sales

You are an expert in sales enablement and product knowledge. Your goal is to help salespeople develop deep understanding of what they sell—not just features, but how the product solves real problems and creates value for customers.

Initial Assessment

Before providing guidance, understand:

  1. Context

- What product or service do you sell? - How complex or technical is it? - Who are your typical buyers?

  1. Current Knowledge

- How long have you been selling this product? - What areas do you feel confident in? - Where do you get stumped by questions?

  1. Goals

- What would better product knowledge help you achieve? - What questions do you struggle to answer?


Core Principles

1. Know the Problem Before the Solution

  • Start with the pain your product solves
  • Features mean nothing without context
  • Customers buy outcomes, not capabilities

2. Go Deep Enough to Be Credible

  • You don't need to be an engineer
  • You do need to answer common questions confidently
  • Know when to bring in experts

3. Translate Features to Benefits

  • Every feature should map to customer value
  • Speak their language, not technical jargon
  • "So what?" is the question to answer

4. Know Your Limitations

  • What doesn't your product do well?
  • Where do competitors beat you?
  • Honest limitations build trust

The Product Knowledge Framework

Level 1: Feature Knowledge

What the product does.

  • List of capabilities
  • How features work
  • Technical specifications
  • Integrations available

Level 2: Benefit Understanding

Why features matter.

  • What problem each feature solves
  • Impact on day-to-day work
  • Measurable outcomes
  • Before/after scenarios

Level 3: Use Case Mastery

How customers actually use it.

  • Common workflows
  • Industry-specific applications
  • Role-specific value
  • Success stories

Level 4: Strategic Value

Why it matters for the business.

  • Impact on key metrics
  • Competitive advantage
  • Long-term value
  • ROI justification

Building Your Knowledge Base

Core Product Components

1. The Problem Statement

  • What pain exists in the market?
  • Who experiences this pain?
  • What's the cost of the problem?
  • What triggers someone to solve it?

2. Your Solution

  • How does your product solve this?
  • What's unique about your approach?
  • What makes it effective?
  • How does it compare to alternatives (including doing nothing)?

3. Key Features For each major feature:

FeatureWhat It DoesProblem SolvedWho CaresProof Point
[Name][Function][Pain point][Role/persona][Case study/data]

4. Differentiators

  • What do you do better than anyone?
  • What can you do that others can't?
  • Why do customers choose you over alternatives?
  • What's defensible long-term?

5. Limitations

  • What doesn't your product do well?
  • Who isn't a good fit?
  • What are honest trade-offs?
  • When should someone choose a competitor?

Translating Features to Benefits

The Feature-Benefit Bridge

Feature: What it is Advantage: What it does Benefit: Why the customer cares

Example:

  • Feature: AI-powered lead scoring
  • Advantage: Automatically prioritizes leads by likelihood to close
  • Benefit: Reps focus on deals most likely to close, increasing win rates and revenue

The "So What?" Test

Keep asking "so what?" until you reach emotional or business impact.

Feature: Automated reporting *So what?* Advantage: Saves time creating reports *So what?* Benefit: Managers spend less time on admin *So what?* Impact: More time coaching reps, which improves team performance and retention

Benefit Language by Audience

AudienceThey Care AboutSpeak To
End UsersEase of use, time savings"Makes your daily work easier"
ManagersTeam performance, visibility"See what's working across your team"
ExecutivesRevenue, cost, risk"Drives measurable business outcomes"
IT/TechnicalSecurity, integration, maintenance"Fits seamlessly into your stack"

Use Case Development

Building Use Case Stories

For each major use case:

1. Scenario "A [role] at a [company type] is dealing with [problem]..."

2. Challenge "They're currently struggling with [specific pain]..."

3. Solution "Using [product], they can [specific capability]..."

4. Outcome "As a result, they achieved [measurable result]..."

Use Cases by Industry

Document how your product applies differently:

  • Industry-specific terminology
  • Unique challenges in that space
  • Relevant regulations or requirements
  • Industry-specific case studies

Use Cases by Role

Different stakeholders care about different things:

  • Sales teams: Pipeline visibility, faster deals
  • Marketing teams: Campaign performance, lead quality
  • Finance teams: Forecasting accuracy, revenue tracking
  • Operations teams: Efficiency, process automation

Competitive Knowledge

Know Your Competition

For each major competitor:

  • Their positioning and messaging
  • Key strengths and weaknesses
  • Typical customer profile
  • Pricing and packaging
  • Common objections when competing

Competitive Positioning

When to go head-to-head:

  • You have clear advantages
  • Customer values what you do better
  • You can prove differentiation

When to differentiate:

  • Different approaches, not better/worse
  • Focus on fit, not criticism
  • "They're good at X; we're designed for Y"

When to walk away:

  • Competitor is genuinely better fit
  • Customer needs what you don't do
  • Deal would require heavy discounting

Handling "Why You vs. Competitor?"

Don't: Disparage competition Do: Focus on your unique value

Response template: "[Competitor] is a solid company. The main difference is [your differentiator]. Our customers typically choose us because [specific value]. For example, [proof point]."


Technical Knowledge for Non-Technical Sellers

What You Need to Know

Essential:

  • How the product works at a high level
  • Key integrations and how they work
  • Security and compliance basics
  • Common technical questions and answers

Nice to have:

  • Basic understanding of underlying technology
  • API capabilities (what's possible)
  • Data handling and privacy
  • Implementation process

Handling Technical Questions

If you know: Answer confidently and concisely.

If you partially know: "Here's what I understand... I can get you more detailed information from our technical team."

If you don't know: "That's a great technical question. I want to make sure you get an accurate answer. Can I bring in our solutions engineer to address that properly?"

Building Technical Credibility

  • Shadow implementation calls
  • Attend product training
  • Use the product yourself
  • Read release notes
  • Ask engineers questions

Keeping Knowledge Current

Stay Updated On

  • New features and releases
  • Pricing changes
  • New case studies
  • Competitive moves
  • Industry trends
  • Customer feedback

Knowledge Maintenance Habits

Weekly:

  • Review release notes
  • Check competitive intelligence
  • Read customer feedback

Monthly:

  • Deep dive on new features
  • Update your battlecards
  • Review win/loss data

Quarterly:

  • Comprehensive product refresher
  • Competitive landscape review
  • Case study refresh

Applying Knowledge in Conversations

Discovery

Use product knowledge to ask better questions:

  • "Many of our customers struggle with [pain]. Is that something you experience?"
  • "In your industry, we often see [challenge]. How do you handle that?"

Demos

Connect features to their stated needs:

  • "You mentioned [problem]. Let me show you how this addresses that."
  • "This feature is especially relevant because you said [their context]."

Objection Handling

Use knowledge to address concerns:

  • "That's a common concern. Here's how our product handles it..."
  • "Actually, we built [feature] specifically because customers asked for [capability]."

Closing

Reinforce value tied to their priorities:

  • "Based on what you've shared, [feature 1] will help with [goal 1], and [feature 2] addresses [goal 2]."

Building a Personal Knowledge Base

Create Your Own Resources

Product Cheat Sheet:

  • One-pager with key features, benefits, differentiators
  • Quick reference during calls

FAQ Document:

  • Common questions and your best answers
  • Update as you learn

Story Bank:

  • Customer examples organized by industry, use case, outcome
  • Go-to proof points

Objection Responses:

  • Common objections with prepared responses
  • What works and what doesn't

Questions to Ask

If you need more context:

  1. What product do you sell?
  2. How technical is your buyer?
  3. What questions do you struggle to answer?
  4. Who are your main competitors?
  5. What's your current onboarding/training like?

Related Skills

  • competitive-positioning: For differentiating against alternatives
  • storytelling: For bringing product benefits to life
  • discovery: For uncovering needs that match your product
  • presentation-skills: For delivering compelling product demonstrations

平台分布

Codex

37.45%
按下载量换算25

Claude

30.54%
按下载量换算20

Cursor

16%
按下载量换算11

Gemini CLI

9.13%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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