ai-marketing-skills/sales-pipeline/SKILL.md
Alfred Claw 64d5dd430c Wire telemetry preamble into all 10 SKILL.md files + sanitizer allow_patterns
- All 10 SKILL.md files now run version_check + telemetry_init on start
- Sanitizer now supports allow_patterns from config (for example emails, docs)
- Config updated with safe patterns for documentation content
- Fixed example email to use example.com domain
2026-03-31 10:00:33 -07:00

3.5 KiB

AI Sales Pipeline

Preamble (runs on skill start)

# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true

# Telemetry opt-in (first run only, then remembers your choice)
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