Skill: ceobotson-bot/doctorclaw-lead-qualifier (version 1.0.0)

--- 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, [REDACTED_SECRET], 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](https://www.doctorclaw.ceo)


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)