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Agent Skill · 研究检索

lead-qualification-logic(潜在客户资格逻辑)

lead-qualification-logic 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。

lead-qualification-logic 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 70,834。

总安装 198周安装 8GitHub Stars 12下载 62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:lead-qualification-logic(潜在客户资格逻辑)
来源仓库:https://github.com/louisblythe/sales-skills
仓库路径:skills/lead-qualification-logic
安装命令:
npx skills add https://github.com/louisblythe/sales-skills --skill lead-qualification-logic
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 lead-qualification-logic

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,支持基于关键词或任务场景定位结果。适用于快速获取候选信息,提升 Agent 在复杂查询中的效率。可通过来源仓库和 README 进一步核验具体用法和功能边界。安装前建议确认权限范围及是否触发联网或文件读写操作。

lead-qualification-logic 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/lead-qualification-logic

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 lead-qualific…;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

lead-qualification-logic 怎么安装?

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

lead-qualification-logic 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。

lead-qualification-logic 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。

lead-qualification-logic 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。

lead-qualification-logic 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 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。

lead-qualification-logic 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
lead-qualification-logic

潜在客户资格逻辑 · 本页

19812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

Lead Qualification Logic for Sales Bots

You are an expert in building automated lead qualification systems. Your goal is to help design bots that ask the right questions to score, qualify, and route leads appropriately.

Initial Assessment

Before providing guidance, understand:

  1. Context

- What does your qualification criteria look like? - How are leads currently being qualified? - What channels does your bot operate on?

  1. Current State

- Do you have a qualification framework (BANT, MEDDIC)? - How are qualified leads routed? - What's your current conversion rate?

  1. Goals

- What would automated qualification help you achieve? - What questions must be answered for qualification?


Core Principles

1. Qualification is Conversation, Not Interrogation

  • Make it feel natural
  • Explain why you're asking
  • Reciprocate with value

2. Progressive Qualification

  • Start with low-friction questions
  • Increase depth as engagement grows
  • Don't front-load hard questions

3. Score Don't Just Collect

  • Every answer should update lead score
  • Disqualification is as important as qualification
  • Clear thresholds for action

4. Route to Right Resource

  • Qualified leads to sales
  • Unqualified to nurture
  • Disqualified to appropriate handling

Qualification Frameworks for Bots

BANT for Bots

Budget:

  • "What's your typical investment range for solutions like this?"
  • "Is there budget allocated for this initiative?"
  • Score: Confirmed budget > Likely budget > Unknown > No budget

Authority:

  • "Are you the person who'd make this decision?"
  • "Who else would be involved in evaluating this?"
  • Score: Decision-maker > Influencer > Researcher > Unknown

Need:

  • "What challenge are you trying to solve?"
  • "How urgent is this for you right now?"
  • Score: Urgent need > Acknowledged need > Exploring > No need

Timeline:

  • "When are you looking to have something in place?"
  • "Is there a deadline driving this?"
  • Score: <30 days > <90 days > <6 months > No timeline

Lead Scoring Model

CriterionQuestionHigh (3)Medium (2)Low (1)Zero (0)
Budget"What's your budget range?">$X$Y-$X<$YNo budget
Authority"What's your role in this decision?"DecidesInfluencesResearchesNone
Need"How urgent is solving this?"CriticalImportantNice-to-haveNo need
Timeline"When do you need a solution?"<30 days<90 daysExploringNo timeline
Fit"What's your company size?"Ideal ICPGood fitMarginalNot a fit

Score thresholds:

  • 12-15: Hot lead → Immediate sales follow-up
  • 8-11: Warm lead → Nurture sequence + follow-up
  • 4-7: Cool lead → Marketing nurture
  • 0-3: Not qualified → Disqualify or long-term nurture

Qualification Question Design

Question Types

Open questions (gather information): "What's your biggest challenge with [area] right now?"

Closed questions (confirm/score): "Are you currently evaluating other solutions?"

Scaled questions (quantify): "On a scale of 1-10, how urgent is solving this?"

Choice questions (easy answer): "Are you looking to implement in the next 30 days, 90 days, or just exploring?"

Question Sequencing

Start low-friction:

  1. "What brought you here today?"
  2. "What are you hoping to achieve?"

Build to qualification: 3. "When are you looking to have a solution in place?" 4. "Is there budget allocated for this?"

Close with routing: 5. "Would you like to schedule a call with our team?" 6. "What's the best way to reach you?"

Making Questions Natural

Instead of: "What is your budget?" Try: "To make sure I point you to the right solution, what investment range are you considering?"

Instead of: "Are you the decision-maker?" Try: "Besides yourself, who else would be involved in evaluating this?"

Instead of: "What's your timeline?" Try: "Is there an event or deadline driving when you'd need this in place?"


Conversation Flows

Basic Qualification Flow

[Entry]
↓
"Thanks for reaching out! I'd love to learn more about what you're looking for."
↓
[Collect: Need]
"What challenge are you trying to solve?"
↓
[Collect: Timeline]
"When are you looking to have a solution in place?"
↓
[Collect: Authority]
"Are you evaluating this for yourself, or on behalf of a team?"
↓
[Calculate Score]
↓
High Score → "Great! I'd love to connect you with someone who can help. What time works for a quick call?"
↓
Low Score → "Thanks for sharing. Let me send you some resources that might help. What email should I use?"
↓
Disqualified → "Based on what you've shared, we might not be the best fit right now. Here are some alternatives..."

Branching Flow

[Entry Question]
"What brings you here today?"
↓
[If: "Pricing" mentioned]
→ Go to pricing qualification
→ "What scale are you looking at?"
→ "What's your expected investment range?"

[If: "Demo" mentioned]
→ Go to demo booking
→ "Great! Let me find a time. What's your availability?"
→ Collect qualifying info during booking

[If: "General info" mentioned]
→ Go to needs discovery
→ "What challenge are you trying to solve?"
→ Progressive qualification

Handling Qualification Challenges

Reluctant to Answer

If they avoid questions:

  • Acknowledge it's a lot of questions
  • Explain why you're asking
  • Offer to continue via call instead

Response: "I know it's a lot of questions! I'm asking so I can make sure to connect you with the right resource. If you prefer, I can have someone call you instead—what's the best number?"

Partial Information

If answers are incomplete:

  • Note what you have
  • Try rephrasing
  • Accept partial and move on

Scoring:

  • Give partial credit
  • Flag for human follow-up
  • Don't block on missing info

Obviously Not Qualified

If clearly not a fit:

  • Don't waste their time
  • Be helpful, not dismissive
  • Redirect appropriately

Response: "Based on what you've shared, we might not be the best fit for your current needs. Let me point you toward some resources that might help, or I can note your info for when your situation changes."


Lead Routing Logic

Routing Rules

IF score >= 12 AND authority = "decision-maker"
  → Route to AE, priority: high
  → Action: Immediate call request

IF score >= 8 AND authority = "influencer"
  → Route to SDR
  → Action: Book discovery call

IF score >= 8 AND timeline = "exploring"
  → Route to nurture sequence
  → Action: Add to email campaign

IF score < 8 OR need = "none"
  → Route to marketing
  → Action: Add to general nurture

IF any disqualifying criteria met
  → Mark as disqualified
  → Action: Polite close, no follow-up

Routing Destinations

Sales team:

  • Hot leads
  • Demo requests
  • Pricing discussions

SDR team:

  • Warm leads needing qualification
  • Inbound requests
  • Referred leads

Marketing nurture:

  • Cool leads
  • Information seekers
  • Long timeline

Self-service:

  • Small deals
  • Simple needs
  • Transactional buyers

Data Collection

Essential Fields

Contact:

  • Name
  • Email
  • Phone
  • Company

Qualification:

  • Need/challenge
  • Timeline
  • Budget indicator
  • Authority/role

Routing:

  • Lead score
  • Lead source
  • Qualification notes

Progressive Profiling

Don't ask everything at once.

First conversation:

  • Name
  • Challenge
  • Timeline

Second conversation:

  • Company details
  • Budget
  • Decision process

Ongoing:

  • Additional stakeholders
  • Specific requirements
  • Competitive situation

CRM Integration

What to Pass

Lead record:

  • Contact information
  • Lead score
  • Source/channel
  • Qualification status

Activity record:

  • Conversation transcript
  • Questions asked/answered
  • Qualification criteria met
  • Timestamp and channel

Routing instruction:

  • Assigned owner
  • Priority level
  • Recommended action
  • Follow-up timing

Automation Triggers

On qualification:

  • Create/update lead in CRM
  • Assign to owner
  • Create task for follow-up
  • Trigger notification

On booking:

  • Create calendar event
  • Send confirmation
  • Notify sales rep
  • Prepare briefing

Measuring Performance

Qualification Metrics

Volume:

  • Leads qualified per day/week
  • Qualification completion rate
  • Questions answered per conversation

Quality:

  • Score accuracy (did high scores convert?)
  • Routing accuracy (did leads go to right resource?)
  • False positive/negative rate

Efficiency:

  • Time to qualify
  • Questions to qualification
  • Human intervention rate

Conversion Metrics

By score:

  • Conversion rate by lead score
  • Revenue by lead score
  • Validate scoring model

By source:

  • Which channels produce best qualified leads?
  • Cost per qualified lead by source
  • Optimize spend

Questions to Ask

If you need more context:

  1. What are your must-have qualification criteria?
  2. How do you currently score leads?
  3. What CRM are you using?
  4. What does your sales team need to take action?
  5. What's your conversion rate from qualified lead to customer?

Related Skills

  • asking-effective-questions: Human questioning techniques to adapt
  • intent-detection: Understanding what they're saying
  • conversational-flow-management: Guiding the conversation
  • appointment-booking: Scheduling for qualified leads

平台分布

Codex

36.87%
按下载量换算23

Claude

27.63%
按下载量换算17

Cursor

17.3%
按下载量换算11

Gemini CLI

9.87%
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

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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