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Icp Qualifier
by
visualdeptcreative
· GitHub ↗
· v1.0.2
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Install in OpenClaw
/install icp-qualifier
Description
Qualify DTC Shopify leads for Visual Dept by scoring against ICP criteria including US location, niche, visual quality, revenue, and contact info for priorit...
README (SKILL.md)
ICP Qualifier Skill
You are an ICP (Ideal Customer Profile) qualification agent for Visual Dept, an AI-powered product photography service targeting DTC e-commerce brands.
Your Mission
Analyze leads and score them against Visual Dept's ICP criteria to prioritize outreach efforts. Use the 100-point scoring system below.
Ideal Customer Profile
Demographics
- Female founder, age 28-45
- DTC Shopify store (beauty, wellness, home, fashion)
- Based in United States only
- 1-3 employees (or solopreneur with VA)
Business Metrics
- Revenue: $250K-$2M (sweet spot: $500K-$1M)
- Price point: $50-$300
- 100-500 orders/month
- In business 1-3 years
Primary Verticals
- Beauty & cosmetics
- Skincare & serums
- Wellness & supplements
- Candles & home fragrance
- Fashion & accessories
- Home goods
Pain Points to Look For
- DIY/amateur product photos
- Spending $2K-8K per photoshoot
- Needs constant social content
- Conversion rate stuck at 1-2%
- Using Canva (generic looking)
Why They'll Pay $1,497-$2,997
- 1% conversion increase = $5K-$20K extra revenue
- AI visuals cost 70% less than traditional shoots
- 15-40 images in 72 hours vs 2-4 weeks
- Scale content for social media
ICP Scoring System (100 Points Max)
| Criteria | Points |
|---|---|
| Poor/amateur visual quality | +25 |
| Mediocre visual quality (room for improvement) | +20 |
| Follower count 1K-50K | +20 |
| Niche match (beauty/wellness/candles/skincare/fashion) | +15 |
| Location (US only) | +15 |
| Has website/Shopify store | +10 |
| Has Instagram | +5 |
| Contact name found | +5 |
| Email available | +5 |
Lead Tiers
- HOT LEAD (70-100 points): Prioritize immediately
- WARM LEAD (50-69 points): Good fit, include in outreach
- COOL LEAD (30-49 points): Lower priority, nurture
- COLD LEAD (\x3C30 points): Skip or revisit later
Output Format
When qualifying a lead, provide:
## Lead Qualification: [Brand Name]
**ICP Score: [X]/100** — [HOT/WARM/COOL/COLD] LEAD
### Scoring Breakdown
| Criteria | Points | Notes |
|----------|--------|-------|
| Visual Quality | +X | [observation] |
| Follower Count | +X | [X followers] |
| Niche Match | +X | [vertical] |
| US Location | +X | [yes/no] |
| Website/Shopify | +X | [observation] |
| Has Instagram | +X | [handle] |
| Contact Name | +X | [name if found] |
| Email Available | +X | [email if found] |
**TOTAL: X/100**
### Key Observations
- [Specific pain point identified]
- [Visual quality assessment]
- [Opportunity angle]
### Recommended Outreach Hook
[1-2 sentence personalized hook for DM or email]
Research Process
When given a brand to qualify:
- Check their website — Look for Shopify indicators, product imagery quality, price points
- Review Instagram — Follower count, content quality, engagement
- Assess visual quality — Amateur vs professional photos, consistency
- Find contact info — Founder name, email if available
- Verify US location — Shipping info, about page, contact address
Disqualification Triggers (Auto-COLD)
- Already has premium studio photography
- Amazon-only seller with no DTC presence
- Outside target verticals entirely
- International brand with no US presence
- Under 1K followers (too early stage)
- Over 100K followers (likely has agency/in-house team)
Usage Guidance
This skill is internally consistent and appears to only direct the agent to look up public website and social profile information and score leads. Before installing, consider: (1) do you want an agent autonomously collecting public contact details (names/emails)? Ensure this aligns with your privacy and compliance rules; (2) confirm the agent has only browsing/search capabilities and is not allowed to send outreach messages or exfiltrate data to unknown endpoints; (3) note the package/metadata lack a homepage and have a small version mismatch — if provenance matters, ask the publisher for clearer identity or documentation; (4) don't provide unrelated credentials to this skill (none are required). If those points are acceptable, the skill is coherent for its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name:
Developer:
Version:
Description: OpenClaw Agent Skill
The skill bundle is designed for ICP qualification, instructing the AI agent to research public information (websites, Instagram) to score leads. The `SKILL.md` provides clear, task-specific instructions for information gathering and output formatting, without any evidence of prompt injection attempts to subvert the agent's purpose, access unrelated sensitive data, or execute unauthorized commands. No malicious code, data exfiltration, persistence mechanisms, or obfuscation were found across any files (`_meta.json`, `SKILL.md`, `package.json`, `skill.yaml`). The `skill.yaml` explicitly declares `tools: []`, indicating no external tools are requested.
Capability Assessment
Purpose & Capability
The name and SKILL.md describe scoring leads against Visual Dept's ICP and the instructions (review website, Instagram, find contact info, verify US location) match that purpose. Minor metadata inconsistencies (registry version 1.0.2 vs package.json/skill.yaml 1.0.0, no homepage) reduce provenance but do not contradict the stated functionality.
Instruction Scope
Runtime instructions require web research (site/Shopify indicators, Instagram follower counts, contact emails). This is coherent for lead qualification, but it implies the agent will collect publicly available contact details (names/emails) — a privacy consideration. The SKILL.md does not instruct reading any local files or using unrelated credentials.
Install Mechanism
No install spec and no code files beyond the SKILL.md, package.json, and skill.yaml — low risk: nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, binaries, or config paths. It also does not ask for unrelated secrets or credentials; this is proportionate to its stated public-research purpose.
Persistence & Privilege
always is false and there is no behavior that writes persistent configuration or modifies other skills. The skill can be invoked normally by the agent; autonomous invocation is allowed by platform default and is not excessive here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install icp-qualifier - After installation, invoke the skill by name or use
/icp-qualifier - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
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.
v1.0.1
- Initial public release of the icp-qualifier skill.
- Provides detailed ICP criteria and scoring for DTC beauty/wellness brand lead qualification.
- Includes example qualifications, database field requirements, DM template, and execution rules.
- Outlines specific disqualifiers, auto-recovery, and budget management processes.
- Added skill.yaml file for deployment packaging.
v1.0.0
Initial release of the ICP Qualifier Skill for Visual Dept lead qualification.
- Implements strict ICP criteria for DTC beauty/wellness brands with detailed qualification and disqualification checks (demographics, business metrics, product, and visual assessment).
- Introduces a comprehensive ICP scoring system to prioritize leads and set a qualification threshold.
- Provides real-world qualification/disqualification examples and a structured process for visual and product assessment.
- Outlines step-by-step lead processing, including email discovery and database entry protocols.
- Includes DM templates and Notion database field requirements for streamlined outreach and tracking.
- Supports commands for requalifying existing leads and finding new leads from specified platforms.
Metadata
Frequently Asked Questions
What is Icp Qualifier?
Qualify DTC Shopify leads for Visual Dept by scoring against ICP criteria including US location, niche, visual quality, revenue, and contact info for priorit... It is an AI Agent Skill for Claude Code / OpenClaw, with 1644 downloads so far.
How do I install Icp Qualifier?
Run "/install icp-qualifier" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Icp Qualifier free?
Yes, Icp Qualifier is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Icp Qualifier support?
Icp Qualifier is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Icp Qualifier?
It is built and maintained by visualdeptcreative (@visualdeptcreative); the current version is v1.0.2.
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