AI-powered sales pipeline inside 1ai-social. Track leads, qualify with BANT, generate proposals, schedule follow-ups, and get daily sales analytics. Use when managing B2B sales pipelines.
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AI-powered sales pipeline inside 1ai-social. Track leads, qualify with BANT, generate proposals, schedule follow-ups, and get daily sales analytics. Use when managing B2B sales pipelines.
This pipeline converts leads into cash. Each stage advance increases deal probability: NEW (5%) → CONTACTED (10%) → QUALIFIED (25%) → DEMO (40%) → PROPOSAL (60%) → NEGOTIATION (80%) → CLOSED_WON (100%). Moving 10 leads through the full pipeline per month at $2K average deal size = $20K monthly revenue.
When Not to Use
Simple or one-off tasks — if the task is straightforward, direct execution is faster than structured methodology.
Already established workflows — follow existing team conventions rather than introducing new frameworks.
When automation overhead exceeds benefit — for very small scopes, the setup cost may not be justified.
Dependencies
Python 3.8+ or Node.js 18+
Access to relevant APIs/services for your specific use case
Basic understanding of the domain concepts
Commands
# Refer to the skill's usage section for specific commands# Adapt these to your workflow
Revenue Streams
Your Own Sales ($2K-20K/deal) — Close your own services through the pipeline
Pipeline-as-a-Service ($1K-5K/mo) — Manage pipeline for clients: import their leads, qualify, track stages, generate proposals
Sales Analytics ($500-2K/mo) — Pipeline reporting as a service: weekly reports, conversion analysis, revenue forecasts for other businesses
First Action in 60 Minutes
#!/usr/bin/env bash# Pipeline audit: measure current stage distributionecho"=== Pipeline Audit ==="echo"Leads by stage:"echo" NEW: $(sqlite3 ~/1ai-social/data.db 'SELECT COUNT(*) FROM sales_leads WHERE stage="NEW"' 2>/dev/null || echo 0)"echo" QUALIFIED: $(sqlite3 ~/1ai-social/data.db 'SELECT COUNT(*) FROM sales_leads WHERE stage="QUALIFIED"' 2>/dev/null || echo 0)"echo" PROPOSAL: FROM sales_leads WHERE stage="PROPOSAL
CLOSED_WON
$(sqlite3 ~/1ai-social/data.db 'SELECT COUNT(*)
"' 2>/dev/null || echo 0)"
echo
" CLOSED_WON: $(sqlite3 ~/1ai-social/data.db 'SELECT COUNT(*) FROM sales_leads WHERE stage="
"' 2>/dev/null || echo 0)"
echo
""
echo
"Revenue target for this month: \$X"
echo
"Deals needed at 60% proposal stage: X"
When to Use
Trigger phrases:
"sales pipeline"
"track deal"
"add lead to CRM"
"sales report"
"follow up"
"generate proposal"
"lead scoring"
Use cases:
Managing B2B sales pipeline from lead to close
Scoring and qualifying leads (BANT)
Generating proposals and outreach messages
Tracking follow-ups and daily sales queue
Importing 1ai-engage leads into sales pipeline
When NOT to use:
For marketing/social media tasks (use other 1ai-social tools)
For customer support (use customer-support skill)
When the prospect is not a good fit for your product
For markets where you have no distribution channel
When the deal size does not justify the effort
Architecture
Sales is built INTO 1ai-social as MCP tools (prefixed sales_).
