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LeadPipe Lead Pipeline
Operate a full-stack lead pipeline with deterministic scoring, deduplication, and safe calendar booking via LeadPipe MCP.
$29
Works with the AI Agents you already use
LeadPipe Lead Pipeline
Example session with this skill installed
I just talked to Sarah from TechCorp. They have a $10k budget for a migration, need it done by next month, and she's the VP of Ops. Score her and book a discovery call for tomorrow afternoon.
- Read your context and instructions
- Compiled the leadpipe lead pipeline
I have processed the lead for Sarah at TechCorp and updated the pipeline. The lead was scored as
HOT (85/100) based on her high authority (VP level), clear budget, and urgent timeline.
Lead Update: Sarah (TechCorp)
| Action | Result | Details |
|---|---|---|
| Scoring | 85 - HOT | Problem: 18/20, Fit: 18/20, Value: 12/15, Access: 10/10, Urgency: 10/10, Activity: 5/5 |
| Stage | QUALIFIED | Moved from Intake to Qualified based on budget and timeline confirmation. |
| Availability | FOUND | 3 slots available for tomorrow afternoon in UTC-5. |
| Booking Status | PENDING | APPROVAL_REQUIRED: Previewing invite for 2023-11-15 at 14:00. |
Proposed Appointment Details:
- Lead: Sarah (TechCorp)
- Time: Tomorrow, 2:00 PM - 2:30 PM (UTC-5)
- Calendar: primary
- Idempotency Key:
Sarah-TechCorp-202311151400
Next steps
- Respond with "confirm" to finalize the Google Calendar booking and send the invite.
- I will then move the lead stage to BOOKED.
- I will add a note to the Sheet regarding the $10k migration project scope.
Connects securely to your tools. The creator never sees your data.
About this skill
Your agent can talk to a spreadsheet. That is exactly the problem.
Point an AI agent at raw lead data and it will duplicate leads, move deals backwards, invent scores, and double-book appointments. LeadPipe Lead Pipeline is the operating skill for LeadPipe MCP, the open-source server that runs a lead pipeline with the guardrails enforced server-side, and it teaches your agent to run that pipeline the way a careful sales operator would.
What your agent learns to do:
- Capture leads with deduplication on normalised email, then phone, before any write, so the same person never becomes two rows.
- Score every lead 0 to 100 from eight evidence-based judgements (problem, fit, value, size, pay, access, urgency, activity). The total is computed server-side, never invented by the agent.
- Route by band: HOT 80+, WARM 65-79, NURTURE 50-64, LOW below 50, each with its own follow-up rule.
- Move stages only along a validated map. WON is terminal, LOST reactivates only to NURTURE, and illegal moves are rejected.
- Check real availability against business hours and book with an idempotency key, so a retried call returns the existing appointment instead of double-booking.
- Run a daily pipeline routine: summary counts, hot unbooked leads first, overdue next actions cleared, in a five-line report.
Safety is the point. Writes default to approval mode with real data: your agent shows you the exact change and waits for your confirm. Dry-run mode previews everything and writes nothing. Busy calendar titles are never exposed, only free and busy times.
Four workflows included: a zero-credential demo walkthrough that proves the setup in minutes, new lead intake, booking, and the daily routine. Full scoring table, the complete stage transition map, and client configuration for Claude Desktop and Cursor are in the reference files.
Requirements: the LeadPipe MCP server, free and MIT licensed at github.com/techaurah/leadpipe-mcp (this skill is the operating playbook for it). Demo mode needs no credentials. Real mode uses your own Google Sheet and Calendar through your own service account, so your data never leaves your accounts.
Requires LeadPipe MCP server. Real mode requires Google Cloud service account. Scoring totals are server-computed. Terminal stages like WON cannot be reversed to active status.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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