- name
- lead-gen-pipeline
- description
- Automated lead generation pipeline with AI-powered lead scoring and personalized follow-up generation. Score leads 0-100 with reasoning, generate context-aware follow-ups in multiple tones. Integrates with any CRM. Use for sales automation, cold outreach, and pipeline management.
- homepage
- https://www.agxntsix.ai
- license
- MIT
- compatibility
- Python 3.10+, OpenRouter API key
- metadata
- {"openclaw": {"emoji": "\�\�", "requires": {"env": ["OPENROUTER_API_KEY"]}, "primaryEnv": "OPENROUTER_API_KEY", "homepage": "https://www.agxntsix.ai"}}
Lead Gen Pipeline
AI-powered lead generation pipeline. Score leads intelligently, generate personalized follow-ups, and manage your sales pipeline.
Quick Start
export OPENROUTER_API_KEY="your-key"
# Score a lead
python3 {baseDir}/scripts/lead_scorer.py '{"name":"Jane Smith","company":"Acme Corp","title":"VP Marketing","source":"webinar","actions":["downloaded whitepaper","visited pricing page 3x","opened 5 emails"]}'
# Generate follow-up
python3 {baseDir}/scripts/followup_generator.py '{"name":"Jane Smith","company":"Acme Corp","context":"Attended our AI webinar, downloaded whitepaper","stage":"warm","tone":"professional"}'Lead Scoring
The AI scorer evaluates leads on multiple dimensions:
| Factor | Weight | Description |
|---|---|---|
| Fit | 30% | Does the lead match your ICP? (title, company size, industry) |
| Intent | 30% | Behavioral signals (page visits, downloads, email engagement) |
| Engagement | 20% | How actively are they interacting? (recency, frequency) |
| Source Quality | 20% | Where did they come from? (referral > webinar > cold) |
Score Ranges
- 80-100: 🔥 Hot — reach out immediately, high buying intent
- 60-79: 🟡 Warm — nurture with targeted content, book a call
- 40-59: 🟠 Cool — add to drip sequence, monitor engagement
- 0-39: 🔵 Cold — low priority, long-term nurture only
# Score with custom ICP
python3 {baseDir}/scripts/lead_scorer.py '{"name":"...","company":"...","icp":{"industries":["SaaS","fintech"],"minEmployees":50,"titles":["VP","Director","C-suite"]}}'Follow-Up Generation
Generate personalized follow-up messages for any pipeline stage:
# Professional follow-up after demo
python3 {baseDir}/scripts/followup_generator.py '{
"name": "Jane Smith",
"company": "Acme Corp",
"context": "Had a 30-min demo, interested in enterprise plan, concerned about onboarding time",
"stage": "post-demo",
"tone": "professional",
"channel": "email"
}'
# Casual SMS check-in
python3 {baseDir}/scripts/followup_generator.py '{
"name": "Mike",
"context": "Met at conference, exchanged cards, talked about AI automation",
"stage": "initial",
"tone": "casual",
"channel": "sms"
}'
# Urgent closing message
python3 {baseDir}/scripts/followup_generator.py '{
"name": "Sarah Johnson",
"company": "TechFlow",
"context": "Proposal sent 5 days ago, no response, deal worth $25k, quarter ending",
"stage": "closing",
"tone": "urgent",
"channel": "email"
}'Supported Tones
- professional — formal business communication
- casual — friendly, conversational
- urgent — time-sensitive, action-oriented
- friendly — warm, relationship-focused
- consultative — expert advice framing
Supported Channels
- email — full email with subject line
- sms — short, punchy (< 160 chars)
- whatsapp — conversational, emoji-friendly
- linkedin — professional networking tone
Pipeline Stages
- initial — first contact / cold outreach
- warm — engaged but no meeting yet
- booked — meeting/demo scheduled
- post-demo — after initial call/demo
- proposal — proposal sent
- closing — negotiation / final decision
- revival — re-engaging cold/lost lead
Cold Outreach Templates
The AIDA Framework
- Attention — Hook with relevant pain point
- Interest — Show you understand their world
- Desire — Paint the outcome
- Action — Clear, low-friction CTA
Outreach Sequences
Day 1: Initial value-first email Day 3: Follow-up with case study / social proof Day 7: Different angle (video, voice note, meme) Day 14: Break-up email ("Should I close your file?")
Generate any of these:
python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"initial","sequence_step":1}'
python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"initial","sequence_step":4}'CRM Integration Patterns
With GHL (GoHighLevel)
# 1. Score incoming lead
SCORE=$(python3 {baseDir}/scripts/lead_scorer.py '{"name":"...","source":"facebook_ad"}')
# 2. Create contact in GHL with score tag
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py contacts create '{"firstName":"...","tags":["score-85","hot-lead"]}'
# 3. Add to appropriate pipeline stage
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py opportunities create '{"pipelineId":"...","stageId":"hot-stage-id","contactId":"..."}'
# 4. Generate and send follow-up
MSG=$(python3 {baseDir}/scripts/followup_generator.py '{"name":"...","stage":"warm","channel":"sms"}')
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py conversations send-sms <contactId> "$MSG"With Any CRM
The scripts output JSON — pipe into any CRM API wrapper. Lead scores include reasoning that can be stored as CRM notes.
Response Handling
When a lead replies, re-score with updated context:
python3 {baseDir}/scripts/lead_scorer.py '{"name":"Jane","company":"Acme","actions":["replied to email","asked about pricing","requested demo"]}'Then generate contextual response:
python3 {baseDir}/scripts/followup_generator.py '{"name":"Jane","context":"She asked about pricing and wants a demo","stage":"warm","tone":"professional"}'Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation