Icp Onboarding

ICP Onboarding

Conversational intake. The user arrives with a business; this skill produces a client-profile.yaml every other skill in the repo consumes. Without it, downstream skills guess at targeting and write generic copy.

Why this exists

Most cold email fails because the sender didn't define the ICP tightly enough. "B2B SaaS founders" is not an ICP. "VP of RevOps at 50-500 person B2B SaaS companies in the US that raised Series B in the last 12 months" is an ICP — you can put it into Prospeo and get a list.

This skill forces that precision up front. It also separates hard filters (must match) from soft preferences (nice-to-have), because the #1 mistake beginners make is treating every ICP criterion as required, ending up with a list of 200 leads instead of 5,000.

Inputs

Either:

• Website URL of the user's business (skill will scrape + infer a lot)
• Plain description ("I sell X to Y") if no website

Outputs

A single file: ~/cold-email-ai-skills/profiles//client-profile.yaml

Steps

1. Ask for the website URL FIRST (required)

Before any interview questions, ask:

> "What's the website of the business you're running cold email for?"

If the user provides a URL:

npx tsx scripts/scrape-website.ts --url=https://example.com --out=/tmp/scrape.json

Then READ the scraped JSON and immediately produce a one-paragraph summary for the user:

> "Based on your website, here's what I understand about your business: > > ** sells to . Their core value proposition appears to be . Notable social proof: . Pricing signal: . > > Proposed ICP starting point:** . > > Does that sound right? Any corrections before I start the interview?"

This summary is NOT the final ICP — it's the anchor. The user's corrections here save 5+ minutes in the interview.

If the user has no website: > "OK, no website. Give me a two-sentence description of what you sell and to whom. I'll use that as the anchor for the rest of the interview."

2. Interview the user (using scraped context)

Ask these questions in order. Do NOT batch them — wait for each answer before asking the next. Keep answers short. Use the scraped content to PRE-FILL proposed answers where possible, and ask the user to confirm or correct.

1. What do you sell in one sentence? Pre-fill: "Based on your site, you sell ``. Confirm or correct?"
2. Who is your single best customer — name them. (Helps anchor everything else. If they hesitate, ask for the last 3 customers by revenue or fit. If case studies on the website name customers, propose those.)
3. What job title buys this? (Push back if they say "CEO" for anything >50 employees. Probably not true.)
4. Headcount range — hard minimum and hard maximum? (E.g. 20-500. Not "enterprise" — actual numbers.)
5. Industries — in or out? (Use the Prospeo industry taxonomy: see references/prospeo-industries.md. Mark IN or OUT — no fuzzy.)
6. Geography — countries only, or specific states/regions?
7. Any triggers that matter? (Recent fundraise, new hires in a role, tech on website, recent product launch, specific Google Ads spend.)
8. Any disqualifiers? (Competitors, existing customers, partners — domains to exclude.)
9. Your offer / hook — what are you asking them to do? (E.g. "book a 15-min call", "try our free audit", "reply with a Y and I'll send details".)
10. Lead magnet — what can you legally give away for free? (If they don't have one, invoke /lead-magnet-brainstorm skill.)
11. Tone — casual or formal? Peer-to-peer or vendor-to-buyer?
12. Banned words / legal constraints (any industries that restrict language, e.g. healthcare, finance, crypto).

3. Translate into Prospeo filters

Take the answers and draft Prospeo-compatible filters:

• Job titles → exact titles + common synonyms (VP of Sales = VP Sales = Head of Sales = SVP Sales)
• Industries → match the 256 valid Prospeo industry names. See references/prospeo-industries.md.
• Headcount → map to Prospeo buckets (1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+)
• Geography → country codes or state lists

4. Split hard vs soft

For each criterion, explicitly ask: "If you find someone who matches everything except this, do you reach out anyway — yes or no?"

• YES → soft preference (log it, but don't filter on it)
• NO → hard filter (must match)

Common answers:

• Job title: usually HARD
• Industry: usually HARD (if targeting a vertical)
• Headcount: usually SOFT on the edges (one person above the cap is often fine)
• Trigger (funded, hired, etc): ALMOST ALWAYS SOFT — it's a personalization signal, not a filter

5. Write client-profile.yaml

Use this schema:

business:
  name: 
  website: 
  one_liner: 
  tone: 

offer:
  primary_cta: 
  lead_magnet: 
  value_prop: 

icp_hard_filters:
  job_titles:
    - 
    - 
  industries_in:
    - 
  industries_out:
    - 
  headcount_min: 
  headcount_max: 
  countries:
    - 
  states: []  # US only, optional
  excluded_domains:
    - 
    - 

icp_soft_preferences:
  triggers:
    - recent_fundraise
    - new_hire_in_role
    - tech_installed: 
  personas_to_prioritize:
    - 

legal:
  banned_words: []
  regulated_industry: false

created_at: 

6. Save + confirm

Save to ~/cold-email-ai-skills/profiles//client-profile.yaml. Print the yaml back to the user and ask "look right?" before ending the conversation.

Common gotchas

• Don't accept "SMBs" as an answer. Ask for headcount numbers.
• "Our ICP is anyone who needs X" = they don't have an ICP. Push for a named-customer example.
• Titles: always include synonyms. "VP of Talent" without "VP of People", "Head of Talent", "Chief People Officer" will miss 60% of matches.
• Prospeo industries: exact match required. "Manufacturing" is not a valid Prospeo industry. "General Manufacturing" is. See references/prospeo-industries.md.
• Triggers are NEVER hard filters. If you make "must have raised in last 6 months" a hard filter, your list shrinks 20x and most of those companies are already getting pitched by everyone.

What to do next

With client-profile.yaml in hand, the user's next skill is /cold-email-starter-kit (manual first campaign) or /auto-research-public (automated daily campaigns).

Files

• references/prospeo-industries.md — full list of 256 valid Prospeo industry names
• references/example-profiles/ — 3 example client-profile.yaml files (B2B SaaS, local SMB, agency)
• scripts/scrape-website.ts — minimal website scraper (homepage + linked pages)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: growthenginenowoslawski
• Source: growthenginenowoslawski/coldoutboundskills
• License: MIT

Install and usage instructions live in the source repository linked above.