The Skill That Finds Your First 10 Customers
How to Run an Open-Source Prospecting Skill Inside Claude and Turn it Into a Morning Radar that Fills an Outreach Queue for You
Building something is no longer the hard part. AI takes you from an idea to a working product in a weekend.
Finding the first customers is still brutal. And they’re the ones who matter most, because the earliest users are the only ones who:
tell you whether the problem is real before you’ve spent a year building for no one
give you the feedback that actually shapes the product, not the polite kind
become the references and case studies that make the next ten easier to win
This week a repo went viral on X for taking a swing at exactly that.
It’s a Codex skill: you hand it your startup URL (or other info), it defines your ideal customer, reads public discussions for real pain and buying signals, qualifies each prospect with the source linked as evidence and drafts an opener.
So instead of trusting the demo, we ran an experiment. We made up a startup, an AI that chases down unpaid invoices for small businesses and freelancers, and gave the skill nothing to work with but that one sentence.
Then we let it loose in deep mode and watched what came back. And this is the final result (pretty crazy):
What comes back is a full report: an early-customer verdict, your ideal ICP, an evidence-backed shortlist of prospects with the public pain and buying signal behind each one, the patterns that repeat across them, a personalized opener per prospect, and a seven-day outreach plan."
In this issue we go deep on the parts that make it actually usable:
how to install it, in Claude and not just Codex
the six modes and when to reach for each
what the tool did with just an idea, the real run, unfiltered
how to schedule it so it works for you every day, dropping new prospects into an outreach queue you actually work
Inside you will find:
What the Skill Actually Does
How to Install It in Claude in Two Minutes
Which Mode to Use for Which Job
Putting the Skill to the Test
How to Turn It Into a Morning Radar
From Report to an Outreach Queue You’ll Actually Work
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1. What the Skill Actually Does
Under the branding, it’s a disciplined research pipeline with a hard rule at the end.
1. It reads your product. It inspects the URL, the landing-page copy and the repository if you point it at one (or whatever describes your startup), then writes a brief: what you sell, the outcome you promise, who the user is, who actually pays, the urgent job, the current workaround, the trigger that makes someone start looking, and the disqualifiers. This brief is the filter for everything after it.
2. It searches five buckets, instead of hammering one query:
Explicit demand: people literally asking for a tool or an alternative
Pain: posts describing the problem as slow, manual, or infuriating
Workaround: the spreadsheets and copy-paste rituals people build when no product fits
Switching: cancellations, migration complaints, and missing-feature gripes aimed at a competitor
Timing: public events like a launch, a hire, or an expansion that make your product relevant this month
3. It scores every prospect on five dimensions, and the weights tell you what it cares about:
Pain strength (25%)
Product fit (25%)
Timing (20%)
Public reachability (15%)
Evidence quality (15%)
A prospect with no cited pain or timing signal never makes the primary shortlist, no matter how well it fits on paper.
4. It labels and drafts. Each prospect gets a stage, from high intent down to potential fit, plus one short opener that references the specific public context and nothing invented
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2. How to Install It in Claude in Two Minutes
