name: sales-pipeline
description: "Automate sales pipeline with RB2B anonymous visitor routing, deal resurrection, trigger-based prospecting, and ICP learning. Use when asked to "set up sales pipeline", "route website visitors", "resurrect dead deals", "find trigger events", "learn ICP patterns", or "sales automation"."
description_zh: "销售管道自动化，匿名访客转化、沉睡交易激活与 ICP 学习"
description_en: "Sales pipeline automation: anonymous visitor routing, deal resurrection, ICP learning"
version: 1.0.0
homepage: https://github.com/ericosiu/ai-marketing-skills
AI Sales Pipeline
Preamble (runs on skill start)
python3 telemetry/version_check.py 2>/dev/null || true
python3 telemetry/telemetry_init.py 2>/dev/null || true
Privacy: This skill logs usage locally to ~/.ai-marketing-skills/analytics/. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See telemetry/README.md.
Complete AI-powered sales pipeline automation: website visitor identification → intent scoring → suppression → campaign routing → dead deal resurrection → trigger prospecting → self-learning ICP optimization.
When to Use
Use this skill when:
- Setting up automated outbound from website visitor identification (RB2B)
- Running suppression checks before cold outreach
- Routing leads to the right cold email campaigns
- Reviving closed-lost deals from HubSpot
- Finding companies showing buying signals (new hires, funding, job postings)
- Analyzing prospect approve/reject patterns to improve ICP targeting
Tools
RB2B Pipeline (visitor → outbound)
| Script | Purpose | Key Command |
|---|
rb2b_webhook_ingest.py | Webhook server + intent scoring | python3 rb2b_webhook_ingest.py --serve --port 4100 |
rb2b_suppression_pipeline.py | 5-layer suppression checks | python3 rb2b_suppression_pipeline.py --email user@example.com |
rb2b_instantly_router.py | Full pipeline: score → suppress → route → enroll | python3 rb2b_instantly_router.py --serve --port 4100 |
Deal Intelligence
| Script | Purpose | Key Command |
|---|
deal_resurrector.py | 3-layer dead deal revival (time decay + POC expansion + champion tracking) | python3 deal_resurrector.py --top 10 --dry-run |
trigger_prospector.py | Web signal monitoring (new hires, funding, agency searches) | python3 trigger_prospector.py --days 7 --top 15 |
icp_learning_analyzer.py | Learn from approve/reject decisions, recommend ICP changes | python3 icp_learning_analyzer.py |
Configuration
All scripts use environment variables for API keys and configuration. Copy .env.example to .env and fill in your values.
Required Environment Variables
HUBSPOT_API_KEY — HubSpot private app token (Deal Resurrector, Suppression)INSTANTLY_API_KEY — Instantly API key (Router, Suppression)BRAVE_API_KEY — Brave Search API key (Trigger Prospector)DATABASE_URL — PostgreSQL connection string (ICP Analyzer only)
Key Customization Points
- Intent scoring: Edit
PAGE_INTENT_SCORES dict in webhook_ingest to match your URL patterns
- Agency detection: Edit
AGENCY_KEYWORDS_* in router for your market
- Loss reason scoring: Edit
LOSS_REASON_BONUS in deal_resurrector for your close reasons
- Signal queries: Edit
SEARCH_QUERIES in trigger_prospector for your target market
- Campaign routing: Edit
data/campaigns.json with your Instantly campaign UUIDs
Data Flow
RB2B Webhook → Ingest (score) → Suppress (5 layers) → Route (classify) → Instantly
HubSpot CRM → Deal Resurrector (score + draft emails) → Review Queue
Brave Search → Trigger Prospector (score + enrich) → Outreach Queue
Prospect DB → ICP Analyzer (learn patterns) → Filter Recommendations
Dependencies
- Python 3.9+
requests (for HubSpot API)psycopg2-binary (for ICP Analyzer only)- No other external dependencies — scripts use stdlib HTTP server and urllib
