Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
ICP Qualifier v1.0.2 Changelog - Updated ICP criteria and expanded relevant verticals and buyer pain points. - Overhauled scoring system to clear 100-point scale with explicit tier breakdowns (Hot/Warm/Cool/Cold). - Streamlined output format and added detailed scoring breakdown table for each lead. - Clarified disqualification triggers and research process. - Minor updates to skill metadata and dependencies.
What This Skill Does
Scores leads against Visual Dept's Ideal Customer Profile using a 100-point system. Analyzes DTC e-commerce brands across visual quality, niche fit, location, follower count, and contact availability. Outputs a lead tier (HOT/WARM/COOL/COLD) with a personalized outreach hook.
Replaces manual, inconsistent lead review with a structured scoring rubric that produces a tier and outreach copy in one pass.
When to use it
- Scoring a new Instagram brand before sending a cold DM
- Triaging a batch of Shopify beauty brands by outreach priority
- Auto-disqualifying international or over-followed accounts
- Finding founder contact details while assessing photo quality
- Generating a personalized hook for a warm skincare lead
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Qualify this brand: @glowskinco
- 1Checks the brand's website for Shopify indicators and product price points
- 2Reviews Instagram for follower count and content quality
- 3Assesses product photo quality against amateur vs. professional standards
- 4Searches for founder name and email on the about or contact page
- 5Verifies US location via shipping info or address, then calculates total ICP score
Lead qualification report with ICP score, tier (e.g., WARM LEAD 55/100), scoring breakdown table, key observations, and a 1-2 sentence personalized outreach hook