Install
openclaw skills install doctorclaw-lead-qualifierLead qualifier — score inbound leads based on custom criteria, prioritize hot prospects, draft outreach. On-demand or cron.
openclaw skills install doctorclaw-lead-qualifierStop wasting time on tire-kickers. This skill scores your inbound leads based on criteria you define — company size, industry, budget signals, engagement level — so you focus on the prospects most likely to buy and skip the ones that won't.
Run it when new leads come in, or on a daily cron to process your lead pipeline.
Tell your agent:
For each lead with limited data, attempt to enrich:
Apply scoring criteria (customizable, defaults shown):
| Criterion | Points | Example |
|---|---|---|
| Industry match | 0-20 | Target industry = 20, adjacent = 10, unrelated = 0 |
| Company size | 0-20 | Sweet spot range = 20, too small = 5, too large = 10 |
| Decision maker | 0-20 | C-suite/owner = 20, director = 15, manager = 10, other = 5 |
| Budget signals | 0-15 | Mentioned budget = 15, funded company = 10, unknown = 5 |
| Engagement | 0-15 | Multiple touchpoints = 15, form fill = 10, single visit = 5 |
| Source quality | 0-10 | Referral = 10, organic = 7, paid = 5, cold list = 2 |
Total: 0-100 points
🔥 HOT (80-100) — Contact immediately
🟢 QUALIFIED (60-79) — Follow up this week
🟡 WARM (40-59) — Monitor and nurture
⚪ COLD (0-39) — Deprioritize
For HOT and QUALIFIED leads, draft personalized messages:
🎯 Lead Qualification Report — [Date]
📊 PIPELINE SUMMARY
Total leads processed: [X]
🔥 Hot: [X] | 🟢 Qualified: [X] | 🟡 Warm: [X] | ⚪ Cold: [X]
🔥 HOT LEADS — ACT NOW
1. [Name] — [Title], [Company] | Score: [X]/100
Industry: [match] | Size: [X employees] | Source: [referral/organic]
Why hot: [decision maker + target industry + high engagement]
📝 Draft outreach ready
2. [Name] — [Title], [Company] | Score: [X]/100
[Details]
📝 Draft outreach ready
🟢 QUALIFIED — FOLLOW UP THIS WEEK
3. [Name] — [Title], [Company] | Score: [X]/100
Why qualified: [good fit but needs nurturing]
📝 Draft outreach ready
🟡 WARM — NURTURE ([X] leads)
[Summary of warm leads — monitor for engagement changes]
⚪ COLD — DEPRIORITIZE ([X] leads)
[Summary + disqualification reasons]
• [X] leads: wrong industry
• [X] leads: too small / no budget signals
• [X] leads: non-decision makers
💡 INSIGHTS
• Best lead source this batch: [referral/organic/paid]
• Most common industry: [industry]
• [X]% of leads are decision makers
User: "Qualify these leads" [provides CSV or points to sheet]
Agent processes and responds with the full qualification report.
User: "I got a new lead: Sarah Kim, sarah@buildright.co, she's a founder of a 15-person construction tech company, found us through our blog"
Agent:
🎯 Lead Score: 82/100 — 🔥 HOT
• Industry: Construction Tech — strong fit (18/20) • Company size: 15 employees — sweet spot (18/20) • Role: Founder — decision maker (20/20) • Budget: Unknown, but funded startup signals (8/15) • Engagement: Blog reader, organic (7/15) • Source: Organic content (7/10)
📝 Draft outreach: "Hi Sarah, I noticed you found us through our blog — glad the content resonated! I work with construction tech founders to set up AI systems that handle the operational busywork. Would a quick 15-minute call make sense to see if there's a fit?"
User: "Send it"
Agent: Sends the outreach email.
This skill handles lead scoring and qualification. But if you want:
DoctorClaw sets up complete OpenClaw systems for businesses: