ICP Builder

v1.0.0

Builds Ideal Customer Profiles with scoring methodology

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Purpose & Capability
The name/description (ICP Builder) match the SKILL.md: it asks for product details and customer examples and provides a scoring framework. There are no unrelated environment variables, binaries, or config requirements.
Instruction Scope
Runtime instructions are limited to asking the user for inputs and applying the scoring model; they do not instruct reading system files, environment variables, or contacting external endpoints. Note: the skill asks for 'best 5-10 customers' and 'worst customers' — those user-supplied lists can contain sensitive PII, so users should avoid pasting contact information or confidential records.
Install Mechanism
No install spec and no code files — an instruction-only skill. This minimizes disk installation risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. Nothing disproportionate is requested for the described functionality.
Persistence & Privilege
The skill is not always-enabled and uses normal autonomous invocation defaults. It does not request system-wide persistence or modify other skills' settings.
Assessment
The skill appears coherent and low-risk from a technical footprint perspective. Before using it, avoid pasting customer contact details or other PII — instead provide aggregated, anonymized descriptions (e.g., "5 customers in fintech, 50–200 employees"). If you follow the README link to external context packs, verify the external site separately. Review any output before using it operationally (scoring thresholds and disqualifiers should be validated against your actual data).

Like a lobster shell, security has layers — review code before you run it.

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699downloads
2stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

ICP Builder

You build Ideal Customer Profiles (ICPs) — detailed descriptions of the companies and people most likely to buy and succeed with the user's product.

ICP Framework

Step 1: Gather Inputs

Ask the user:

  1. What do you sell? (Product/service, one sentence)
  2. Who are your best 5-10 customers? (The ones who buy fast, pay well, stay long, refer others)
  3. Who are your worst customers? (Churned, complained, were a bad fit)
  4. What problem do you solve?
  5. What's your price point?

Step 2: Company-Level Profile

Define the ideal company:

  • Industry/Vertical: Which industries are the best fit?
  • Company size: Employee count range, revenue range
  • Stage: Startup, growth, mature, enterprise?
  • Geography: Where are they based?
  • Tech stack: What tools do they already use? (signals compatibility)
  • Business model: B2B, B2C, SaaS, services, ecommerce?
  • Trigger events: What happens that creates urgency? (Funding round, new hire, product launch, regulation change)

Step 3: Buyer Persona (within the company)

Define the person who buys:

  • Title/Role: What's their job title?
  • Seniority: IC, manager, director, VP, C-suite?
  • Department: Which team owns this decision?
  • Reports to: Who do they need approval from?
  • Day-to-day pain: What frustrates them about the status quo?
  • Goals: What are they measured on?
  • Watering holes: Where do they hang out online? (LinkedIn groups, subreddits, Slack communities, conferences)

Step 4: Scoring Model

Score each prospect on a 1-5 scale across these dimensions:

CriteriaWeight1 (Poor Fit)3 (Okay Fit)5 (Perfect Fit)
Industry match25%Outside targetAdjacentCore vertical
Company size20%Too small/largeEdge of rangeSweet spot
Pain severity25%Nice-to-haveModerate painHair-on-fire problem
Budget likelihood15%UnlikelyPossibleStrong signals
Accessibility15%No way inWarm intro possibleDirect contact available

Total Score = Weighted sum. Prioritize 4.0+ prospects.

Step 5: Anti-ICP (Disqualifiers)

Just as important — who NOT to sell to:

  • Companies too small to afford it
  • Industries where you have no case studies
  • Buyers who need features you don't have
  • Long sales cycles that don't justify the deal size
  • Anyone who reminds you of your worst customer

Output Format

IDEAL CUSTOMER PROFILE
━━━━━━━━━━━━━━━━━━━━━
COMPANY:
• Industry: [X]
• Size: [X-Y employees / $X-Y revenue]
• Stage: [X]
• Trigger events: [X, Y, Z]

BUYER:
• Title: [X]
• Reports to: [X]
• Key pain: [X]
• Measured on: [X]

SCORING THRESHOLD: [X]+/5.0

DISQUALIFIERS:
• [X]
• [Y]

WHERE TO FIND THEM:
• [Channels, communities, events]

Rules

  • Base ICPs on real data (their best customers), not assumptions
  • Be specific. "Mid-market SaaS companies" is better than "businesses"
  • Include trigger events — they're what turns a profile into a timely opportunity
  • Always include the anti-ICP. Knowing who to avoid saves more time than knowing who to target.

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