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🦀 ClawHub

DoctorClaw Lead Qualifier

by @ceobotson-bot

Lead qualifier — score inbound leads based on custom criteria, prioritize hot prospects, draft outreach. On-demand or cron.

Versionv1.0.0
Downloads230
#writing#email-marketing#legal#health#automation
TERMINAL
clawhub install doctorclaw-lead-qualifier

📖 About This Skill

name: doctorclaw-lead-qualifier description: "Lead qualifier — score inbound leads based on custom criteria, prioritize hot prospects, draft outreach. On-demand or cron." version: 1.0.0 tags: [sales, leads, qualification, scoring, automation] metadata: clawdbot: emoji: "🎯" source: author: DoctorClaw url: https://www.doctorclaw.ceo

Lead Qualifier

Stop 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.

What You Get

  • Every lead scored on a 0-100 scale with clear reasoning
  • Leads ranked and sorted by qualification score
  • Hot leads flagged for immediate follow-up
  • Cold leads identified to save your time
  • Personalized outreach drafts for qualified leads
  • Disqualification reasons for low-scoring leads

    • Setup

    Required

  • Lead list — A CSV, Google Sheet, or CRM export with lead data. Minimum: name, email, company. More fields = better scoring.

    • Optional (but recommended)

  • Scoring criteria — your custom rules for what makes a good lead (industry, company size, budget, etc.)
  • Ideal customer profile (ICP) — a description of your perfect customer for comparison
  • CRM integration — HubSpot, Pipedrive, Notion, or Airtable for auto-import
  • Email access — to send outreach to qualified leads after approval

    • Configuration

    Tell your agent:

    1. Lead source — file path, Google Sheet URL, or CRM connection 2. Scoring criteria — what matters most to you: - Company size (employee count ranges) - Industry (target industries) - Budget indicators (revenue, funding, pricing page visits) - Role/title of the contact (decision maker vs. researcher) - Geography (target regions) - Engagement signals (website visits, email opens, form fills) 3. Score weights — how much each criterion matters (or use defaults) 4. Qualification threshold — minimum score to be "qualified" (default: 60/100) 5. Hot lead threshold — score that triggers immediate alert (default: 80/100) 6. Outreach style — your tone for follow-up messages 7. Delivery — where to send qualified lead alerts

    How It Works

    Step 1: Load Leads

  • Read lead data from configured source
  • For each lead, extract all available fields: name, email, company, title, industry, company size, source, notes, engagement data

    • Step 2: Research & Enrich

    For each lead with limited data, attempt to enrich:
  • Company lookup — check company website for size, industry, description
  • Role assessment — is this person a decision maker, influencer, or researcher?
  • Source quality — where did this lead come from? (referral > organic > cold)

    • Step 3: Score Each Lead

    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

    Step 4: Categorize Leads

    🔥 HOT (80-100) — Contact immediately

  • Strong fit, high engagement, decision maker
  • Draft personalized outreach now
  • Alert Stephen immediately

    • 🟢 QUALIFIED (60-79) — Follow up this week

  • Good fit, needs nurturing or more info
  • Draft a value-add follow-up

    • 🟡 WARM (40-59) — Monitor and nurture

  • Partial fit, might convert with time
  • Add to drip sequence or check back later

    • ⚪ COLD (0-39) — Deprioritize

  • Poor fit or insufficient signals
  • Note disqualification reason
  • Archive or mark for future review

    • Step 5: Draft Outreach

    For HOT and QUALIFIED leads, draft personalized messages:
  • Reference their company/industry specifically
  • Address their likely pain point based on their profile
  • Offer something valuable (insight, case study, free resource)
  • Include a clear, low-commitment CTA (quick call, demo, guide)
  • Match your configured outreach style

    • Step 6: Compile Lead Report

    🎯 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

    Step 7: Deliver & Act

  • Send report via configured channel
  • Hot leads trigger immediate alerts
  • When user approves outreach ("send to lead 1"), send the message
  • Update lead status in source (qualified/contacted/disqualified)

    • Examples

    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.

    Customization Ideas

  • Auto-score on form submission — qualify leads instantly when they fill out your contact form
  • Lead routing — assign qualified leads to team members based on criteria
  • Re-engagement campaigns — periodically re-score cold leads to find ones that have warmed up
  • Win rate tracking — track which lead scores actually convert to paying customers
  • ICP refinement — use closed deal data to improve scoring criteria over time

    • Want More?

    This skill handles lead scoring and qualification. But if you want:

  • Custom integrations — connect to HubSpot, Pipedrive, Salesforce, or your specific CRM
  • Advanced automations — auto-qualify form submissions, trigger drip sequences, sync scores to CRM
  • Full system setup — identity, memory, security, and 5 custom automations built specifically for your workflow

    • DoctorClaw sets up complete OpenClaw systems for businesses:

  • Guided Setup ($495) — 2-hour live walkthrough. Everything configured, integrated, and running by the end of the call.
  • Done-For-You ($1,995) — 7-day custom build. 5 automations, 3 integrations, full security, 30-day support. You do nothing except answer a short intake form.

    • → doctorclaw.ceo

    💡 Examples

    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.

    ⚙️ Configuration

    Tell your agent:

    1. Lead source — file path, Google Sheet URL, or CRM connection 2. Scoring criteria — what matters most to you: - Company size (employee count ranges) - Industry (target industries) - Budget indicators (revenue, funding, pricing page visits) - Role/title of the contact (decision maker vs. researcher) - Geography (target regions) - Engagement signals (website visits, email opens, form fills) 3. Score weights — how much each criterion matters (or use defaults) 4. Qualification threshold — minimum score to be "qualified" (default: 60/100) 5. Hot lead threshold — score that triggers immediate alert (default: 80/100) 6. Outreach style — your tone for follow-up messages 7. Delivery — where to send qualified lead alerts