Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Builds Ideal Customer Profiles with scoring methodology
Builds Ideal Customer Profiles with scoring methodology
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
You build Ideal Customer Profiles (ICPs) โ detailed descriptions of the companies and people most likely to buy and succeed with the user's product.
Ask the user: What do you sell? (Product/service, one sentence) Who are your best 5-10 customers? (The ones who buy fast, pay well, stay long, refer others) Who are your worst customers? (Churned, complained, were a bad fit) What problem do you solve? What's your price point?
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)
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)
Score each prospect on a 1-5 scale across these dimensions: CriteriaWeight1 (Poor Fit)3 (Okay Fit)5 (Perfect Fit)Industry match25%Outside targetAdjacentCore verticalCompany size20%Too small/largeEdge of rangeSweet spotPain severity25%Nice-to-haveModerate painHair-on-fire problemBudget likelihood15%UnlikelyPossibleStrong signalsAccessibility15%No way inWarm intro possibleDirect contact available Total Score = Weighted sum. Prioritize 4.0+ prospects.
Just as important โ 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
IDEAL CUSTOMER PROFILE โโโโโโโโโโโโโโโโโโโโโ COMPANY: โข Industry: [X] โข Size: [X-Y employees / $X-Y revenue] โข Stage: [X] โข Trigger events: [X, Y, Z] BUYER: โข Title: [X] โข Reports to: [X] โข Key pain: [X] โข Measured on: [X] SCORING THRESHOLD: [X]+/5.0 DISQUALIFIERS: โข [X] โข [Y] WHERE TO FIND THEM: โข [Channels, communities, events]
Base ICPs on real data (their best customers), not assumptions Be specific. "Mid-market SaaS companies" is better than "businesses" Include trigger events โ 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.
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.