Lead for Openclaw

A high-discipline decision skill designed to qualify sales prospects, identify information gaps, and recommend the next best action for commercial leads.

agistack
v2.1.1
Mar 11, 2026
0
1.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install lead

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install lead using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Lead?

Lead is a specialized skill within the Openclaw Skills ecosystem designed for founders, sales representatives, and operators who need to move beyond raw data into actionable sales intelligence. It provides a structured framework for evaluating commercial prospects after engagement has begun, ensuring that sales teams focus their energy on high-intent opportunities rather than administrative noise.

By synthesizing conversation history, company data, and buying signals, this skill helps users maintain a clean pipeline. It effectively bridges the gap between initial contact and closed deals by applying rigorous logic to lead assessment, helping to prevent valuable opportunities from dying due to weak processes or lack of clarity.

Lead Use Cases

  • Triage inbound leads to determine immediate fit and priority.
  • Handle outbound replies by scoring intent and urgency.
  • Diagnose stalled leads to plan effective re-engagement strategies.
  • Analyze post-discovery call notes to identify missing qualification data.
  • Plan next steps for founder-led sales and SDR operations.

How Lead Works

  1. Extract Context: The skill parses input for prospect identity, pain signals, and engagement level.
  2. Evidence-Based Scoring: Assigns a 0-10 score across Fit, Intent, Urgency, and Authority based strictly on available evidence.
  3. Gap Identification: Highlights missing information such as budget, timeline, or decision-maker clarity.
  4. Action Recommendation: Categorizes the lead (Hot, Warm, Nurture, or Deprioritize) based on the total score.
  5. Follow-up Drafting: Generates a concise, value-driven message tailored to the lead's specific context.

Lead Setup

To activate this skill, provide the details of an active commercial engagement to your AI agent. Ensure you have the Openclaw Skills repository integrated into your workflow.

# Example usage for lead evaluation
/lead evaluate the interaction with Acme Corp regarding their Q3 software migration

Lead Data Schema & Taxonomy

The Lead skill organizes assessment data into a clear, actionable structure:

Field Description
Assessment High-level status: Hot, Warm, or Cold.
Fit Score Alignment with Ideal Customer Profile (ICP) and product-problem fit.
Intent Score Specificity of questions and level of effort shown by the lead.
Urgency Score Severity of pain and mentioned timelines for a solution.
Authority Score Clarity on budget control and internal champion strength.
Next Best Action Specific recommendation (Pursue, Qualify, Nurture, or Deprioritize).

Lead Advanced Features

  • Upstream integration with /prospect to differentiate between pre-contact and post-engagement stages.
  • Conservative scoring logic that prevents guessing when data is missing.
  • Automated follow-up generation that avoids generic phrases like touching base.
  • Protocol-driven execution for AI agents to ensure consistent sales discipline across different users.

SKILL.md


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