whatsapp-lead-qualifier

Name: whatsapp-lead-qualifier
Availability: InStock
Author: TimelinesAI

Automate multi-turn lead qualification workflows on TimelinesAI using chat labels and notes.

3|2|Updated Apr 13, 2026

Search Tags:#automation #crm #whatsapp #lead-qualification #timelinesai #chat-bot

Ready to run

npx skills add https://github.com/InitechSoftware/openclaw-whatsapp-skills --skill whatsapp-lead-qualifier

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: whatsapp-lead-qualifier
Source: https://github.com/InitechSoftware/openclaw-whatsapp-skills/tree/main/skills/whatsapp-lead-qualifier
Command: npx skills add https://github.com/InitechSoftware/openclaw-whatsapp-skills --skill whatsapp-lead-qualifier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

This skill solves the inefficiency of manual lead qualification by automating a multi-turn conversation flow directly within WhatsApp, ensuring only qualified leads reach your human team.

Core Features & Use Cases

State-Driven Conversation: Uses chat labels and notes to track progress through a fixed sequence of questions without needing an external database.
Seamless Handoff: Automatically tags leads as qualified or disqualified based on custom rules, while allowing human intervention at any time.
Use Case: A marketing team running Facebook ads can use this to automatically ask for use case, team size, and timeline, instantly filtering out unqualified prospects before a sales representative is notified.

Quick Start

Use the whatsapp-lead-qualifier skill to initiate a three-question qualification sequence for all new incoming WhatsApp leads.

Frequently Asked Questions about whatsapp-lead-qualifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate WhatsApp lead qualification without an external database?▼

You can automate WhatsApp lead qualification by using chat labels and notes to track conversation state. This state-driven approach manages multi-turn question sequences directly within the chat platform, eliminating the need for a separate database.

How does state-driven conversation tracking work for WhatsApp leads?▼

State-driven conversation tracking works by applying chat labels and notes to monitor a lead's progress through a fixed sequence of questions. It captures structured data and applies custom rules to automatically tag leads as qualified or disqualified.

Do I need the TimelinesAI API to automate WhatsApp chat bot lead filtering?▼

Yes, automating WhatsApp lead filtering requires integrating with the TimelinesAI API. You must also configure your environment for sender identification to properly route and tag inbound customer messages.

Can human agents intervene during an automated WhatsApp lead qualification flow?▼

Yes, human intervention is allowed at any time during the automated WhatsApp lead qualification flow. The skill automatically tags leads based on rules but seamlessly hands off the conversation to your team whenever necessary.

What is the best way to filter unqualified prospects from inbound WhatsApp channels?▼

The best way to filter unqualified prospects is to initiate a fixed multi-turn qualification sequence for inbound WhatsApp leads. By asking predefined questions about use case and timeline, the system automatically filters out unqualified prospects before notifying sales.

What dependencies are required to set up multi-turn WhatsApp lead qualification?▼

Setting up multi-turn WhatsApp lead qualification requires the jq command-line tool for processing JSON data. You also need to configure the TimelinesAI API and set up environment variables for sender identification.