AGENT SKILLBY ONEWAVE-AI
Inbound lead qualifier & router
AT A GLANCE
Inbound lead qualifier & router is an agent skill for go-to-market. Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. It is published by onewave-ai in the onewave-ai/claude-skills GitHub repository (273 stars) under the MIT license. Install it with: npx skills add onewave-ai/claude-skills --skill inbound-lead-qualifier
- SOURCE REPOSITORY
- onewave-ai/claude-skills (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 5.1 KB226 LINES
QUICK ANSWER
- WHAT IT IS01
- Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Auto-generates qualification questions, routes to right rep, and suggests personalized first touch. Its edge is a particular angle on paid media, giving the agent tighter constraints than a plain inbound lead qualifier & router request.
- INPUTS02
- Context for paid media: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for paid media: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add onewave-ai/claude-skills --skill inbound-lead-qualifierREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 3
Inbound Lead Qualifier & Router#
Turn inbound leads into qualified opportunities in minutes, not days.
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:
- [Question about pricing]
- [Question about implementation]
- [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!
FAQ
07 QUESTIONS
01What is the Inbound lead qualifier & router agent skill?
Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Auto-generates qualification questions, routes to right rep, and suggests personalized first touch. It is listed under go-to-market in the 100xLab agent skills directory.
02How do I install Inbound lead qualifier & router in Cursor, Claude Code, or Codex?
Run npx skills add onewave-ai/claude-skills --skill inbound-lead-qualifier in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Inbound lead qualifier & router, not every skill in the repository.
03What does the Inbound lead qualifier & router SKILL.md cover?
The SKILL.md includes sections on Instructions, Lead Scoring Framework and Output Format. Read the full text on this page or in plain markdown at /resources/agent-skills/onewave-ai-claude-skills--inbound-lead-qualifier--jtpoam/raw.
04Which agents can use Inbound lead qualifier & router?
Inbound lead qualifier & router installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Inbound lead qualifier & router under?
The onewave-ai/claude-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Inbound lead qualifier & router free to use?
Reading, copying and installing Inbound lead qualifier & router costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Inbound lead qualifier & router?
Inbound lead qualifier & router comes from https://github.com/onewave-ai/claude-skills, which has 273 GitHub stars. The SKILL.md is at https://github.com/onewave-ai/claude-skills/blob/HEAD/inbound-lead-qualifier/SKILL.md. The author is onewave-ai.
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ATTRIBUTION
Inbound lead qualifier & router was written by its original authors and is published in onewave-ai/claude-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.