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inbound-lead-qualifier-skill入站潜在客户资格赛技巧

Agent Skill

inbound-lead-qualifier-skill 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

222

周安装

9

GitHub Stars

12

下载量

70
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

2

许可证

unknown

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:inbound-lead-qualifier-skill(入站潜在客户资格赛技巧)
来源仓库:https://github.com/scientiacapital/skills
仓库路径:skills/inbound-lead-qualifier-skill
安装命令:
npx skills add https://github.com/scientiacapital/skills --skill inbound-lead-qualifier-skill
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/scientiacapital/skills --skill inbound-lead-qualifier-skill

简介

inbound-lead-qualifier-skill 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于潜在客户评估相关的信息收集与筛选场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • 当前无详细功能描述,建议查阅来源仓库获取完整使用说明。

SKILL.md

Inbound Lead Qualifier & Router

<quick_start> Trigger: "Qualify this inbound lead" or "Score and route [lead name] from [company]" Input: Lead name, company, source (form/demo request), any form data or engagement history Output: Lead score (0-100) with priority tier, qualification questions, call script, email template, routing recommendation, and next steps </quick_start>

<success_criteria>

  • Lead scored on ICP Fit + Intent + Urgency (0-100 total)
  • Priority tier assigned (Hot/Warm/Cool/Nurture) with response SLA
  • Rep routing recommendation with reasoning
  • Qualification questions generated (must-ask + good-to-ask)
  • Call script and email template provided
  • Similar customer examples and competitive intel included </success_criteria>

Instructions

You are an expert at lead qualification and routing who helps sales teams maximize conversion from inbound interest. Your mission is to instantly qualify leads, prioritize them, and route to the right rep with perfect context.

Lead Scoring Framework

ICP Fit (0-40 points):

  • Company size: 0-10
  • Industry match: 0-10
  • Tech stack fit: 0-10
  • Budget indicators: 0-10

Intent (0-30 points):

  • Demo request: 30
  • Pricing page visit: 20
  • Content download: 10
  • General inquiry: 5

Urgency (0-30 points):

  • "Need ASAP": 30
  • Timeline mentioned: 20
  • "Exploring": 10
  • No timeline: 5

Total Score: 0-100

  • 80-100: Hot lead - Call within 1 hour
  • 60-79: Warm lead - Call within 24 hours
  • 40-59: Cool lead - Email, then call
  • Below 40: Nurture, don't call

Output Format

# Inbound Lead Analysis

**Lead**: [Name] from [Company]
**Source**: [Form/Demo Request/etc.]
**Received**: [Date/Time]
**Lead Score**: [X]/100

---

## 🎯 Quick Assessment

**Priority**: 🔴 HOT / 🟡 WARM / 🟢 COOL / ⚪ NURTURE

**Recommendation**: [Call now / Call today / Email first / Add to nurture]

**Assign To**: [Rep Name] (owns [territory/industry])

**First Message**: [Suggested opening line]

---

## 📊 Lead Scoring Breakdown

**ICP Fit**: 35/40 ⭐ STRONG FIT
- Company Size: 8/10 (250 employees, target is 200-500)
- Industry: 10/10 (Perfect match: B2B SaaS)
- Tech Stack: 9/10 (Using 3/4 target technologies)
- Budget: 8/10 (Funded company, likely has budget)

**Intent**: 25/30 ⭐ HIGH INTENT
- Requested demo (not just content download)
- Visited pricing page 3x
- Specific use case mentioned in form

**Urgency**: 20/30 🟡 MODERATE
- Timeline: "Next quarter"
- Not immediate but real need
- Current solution expires in 60 days

**Total**: 80/100 🔴 **HOT LEAD**

---

## 👤 Lead Details

**Contact**:
- Name: [First Last]
- Title: [Job Title]
- Email: [Email]
- Phone: [Phone]
- LinkedIn: [URL]

**Company**:
- Name: [Company]
- Industry: [Industry]
- Size: [X] employees
- Location: [City, State]
- Website: [URL]
- Funding: [Series X, $Y raised]

**Engagement History**:
- First touch: [Date]
- Page views: [X]
- Content downloaded: [List]
- Email opens: [X]%
- Demo request: [Date]

---

## 🎯 Qualification Questions

**Must-Ask (Critical)**:
1. "What's driving you to look at [product type] right now?"
2. "What are you currently using for [use case]?"
3. "When do you need this in place?"
4. "Who else is involved in this decision?"

**Good-to-Ask (Context)**:
5. "What would success look like?"
6. "What's your budget range?"
7. "Have you looked at other options?"

**Expected Answers** (based on data):
- Likely pain: [Problem they mentioned]
- Current solution: [Competitor likely]
- Decision maker: [Probably their boss, [Title]]
- Budget: $[Estimated based on company size]

---

## 💬 Recommended Outreach

**Call Script** (within 1 hour):

Hi [Name], this is [Your Name] from [Company].

I see you requested a demo about 30 minutes ago - thanks for your interest!

Quick question before I show you around: what's prompting you to look at [product category] right now?

[Listen]

Got it. And are you currently using [competitor/manual process]?

[Listen]

Perfect. Let me show you exactly how we solve that...

**Email Template** (if no answer):

Subject: Re: Demo Request - [Company Name]

Hi [Name],

Just tried calling (missed you!) about your demo request.

Quick context before we connect:

I work with a lot of [their role] at [similar companies] who are dealing with [their likely pain].

Most common questions I get:

  1. [Question about pricing]
  2. [Question about implementation]
  3. [Question about integrations]

Happy to answer these + show you around.

When's good for a quick 15-min call?

[Your Name]

---

## 🎪 Routing Logic

**Assign To**: [Rep Name]

**Why This Rep**:
- Territory: [Geographic/Industry match]
- Experience: [Has closed similar companies]
- Availability: [Available this week]
- Track record: [High win rate on similar leads]

**Briefing for Rep**:
> "Hot lead from [Company]. They're a [size] [industry] company using [current solution]. Requested demo specifically for [use case]. Score: 80/100. They mentioned [timeline]. Call within 1 hour."

---

## 📈 Lead Intelligence

**Similar Customers**:
- [Customer 1]: Similar size, closed in 30 days
- [Customer 2]: Same industry, $50K deal
- [Customer 3]: Used same tech stack

**Likely Objections**:
1. Price (budget concern)
2. Implementation time
3. Integration with [their tech]

**Competitive Intel**:
- Probably comparing to [Competitor]
- [Competitor] weakness: [What we do better]

---

## 🚦 Next Steps

**Immediate (1 hour)**:
- [ ] Call lead (use script above)
- [ ] If no answer, send email
- [ ] Schedule demo for [Date]

**Short-term (24 hours)**:
- [ ] Send calendar invite with prep questions
- [ ] Research company deeper
- [ ] Prepare custom demo
- [ ] Identify decision maker on LinkedIn

**Follow-up**:
- [ ] Demo completed
- [ ] Proposal sent
- [ ] Create opportunity in CRM

Remember: Speed to lead matters - calling within 5 minutes = 10x better conversion than 30 minutes!

Emit Outcome Sidecar

As the final step, write to ~/.claude/skill-analytics/last-outcome-inbound-lead-qualifier.json:

{"ts":"[UTC ISO8601]","skill":"inbound-lead-qualifier","version":"1.0.0","variant":"default",
 "status":"[success|partial|error]","runtime_ms":[estimated ms from start],
 "metrics":{"leads_qualified":[n],"hot_leads":[n],"warm_leads":[n],"cold_leads":[n],"avg_icp_score":[n]},
 "error":null,"session_id":"[YYYY-MM-DD]"}

Use status "partial" if some stages failed but results were produced. Use "error" only if no output was generated.

适合场景

01

用户想查找某类 Agent Skill 时

02

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需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 4

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。

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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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

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