Gtm System

Manage Go-To-Market activities including contacts, opportunities, pipeline stages, reminders, and signal crawling via command-line interface.

GTM Tracking System Skill

A Go-To-Market tracking system for Expanso/Prometheus.

Location

/home/daaronch/.openclaw/workspace/gtm-system/

CLI Tool

python3 /home/daaronch/.openclaw/workspace/gtm-system/scripts/gtm.py [command]

Quick Commands

Daily Operations

# Get today's actions and priorities
python3 scripts/gtm.py actions

# Generate digest for Telegram
python3 scripts/gtm.py digest

# View pipeline
python3 scripts/gtm.py pipeline

# List unprocessed signals
python3 scripts/gtm.py signals

Contact Management

# Add a contact
python3 scripts/gtm.py add-contact "Name" "[e-mail]" --company "Company" --role "CTO"

# List contacts
python3 scripts/gtm.py contacts

Opportunity Management

# Create opportunity
python3 scripts/gtm.py add-opp "Company Name" --contact 1 --description "Interested in Bacalhau" --priority 3

# Move stage (awareness → interest → evaluation → negotiation → closed_won/closed_lost)
python3 scripts/gtm.py move-stage 1 evaluation

# Log an interaction
python3 scripts/gtm.py log "Had demo call, very interested" --opp 1

Reminders

# Set a reminder
python3 scripts/gtm.py remind "Send pricing proposal" --opp 1 --date 2024-02-15

# Complete a reminder
python3 scripts/gtm.py complete 1

Crawling

# Run all crawlers (HN, Reddit, GitHub)
python3 scripts/gtm.py crawl

# Run specific crawlers
python3 scripts/gtm.py crawl --sources hn,github

# Mark signal as processed
python3 scripts/gtm.py process-signal 1

Keywords

# Add a tracking keyword
python3 scripts/gtm.py add-keyword "new-keyword" --category domain --weight 1.5

Pipeline Stages

1. awareness - They know we exist
2. interest - Showed interest, had initial contact
3. evaluation - Actively evaluating, demos, trials
4. negotiation - Discussing terms/pricing
5. closed_won - Deal closed successfully
6. closed_lost - Deal lost

Database Location

/home/daaronch/.openclaw/workspace/gtm-system/data/gtm.db (SQLite)

Natural Language Queries

When user asks about GTM/pipeline/opportunities, use the CLI to fetch data and summarize:

• "What's in my pipeline?" → Run pipeline command
• "Any follow-ups today?" → Run actions command
• "Add a contact..." → Use add-contact command
• "Check for new opportunities" → Run crawl then signals