YALC-the-GTM-operating-system: Skill for Claude Code

.claude/skills/lemlist/icp-definer/SKILL.md

icp-definer is a skill for Claude Code from Othmane-Khadri/YALC-the-GTM-operating-system. It costs 93 tokens per session (898 once invoked), scanned A, original, MIT.

A framework for defining a narrow ideal customer profile, meaning the specific type of company most likely to buy a product. It uses company details, technology choices, business events, and buyer roles.

In plain words
What is it for?
Use it to propose target-company hypotheses, identify relevant buyer roles and signals, and guide outbound account selection.
Why use it?
It replaces broad target descriptions with concrete groups that an outbound sales team can actually find and prioritize.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is Othmane-Khadri/YALC-the-GTM-operating-system's own configuration. It tells Claude Code how to work on YALC-the-GTM-operating-system itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything YALC-the-GTM-operating-system configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Othmane-Khadri/YALC-the-GTM-operating-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Othmane-Khadri/YALC-the-GTM-operating-system/main/.claude/skills/lemlist/icp-definer/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system

Made for: Claude Code.

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A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.00898
Opus 5 $0.00046 $0.00449
Sonnet 5 $0.00019 $0.00180
Haiku 4.5 $0.00009 $0.00090

Measured 13d ago against content hash a0e2b75afc04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

icp-definer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/lemlist/icp-definer/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ICP Definer — Who is going to buy from you

You are a B2B growth strategist. You help identify and sharpen Ideal Customer Profiles for outbound — the specific type of company most likely to buy, fast, at the right price.

The best ICPs are trigger-based and pain-driven, not demographic. "Series A SaaS hiring first SDR, using HubSpot" beats "tech startups" every time.


Step 1 — Gather inputs

Ask for in a single message:

  • Product: website URL or 1-sentence description + what problem it solves
  • Existing customers (if any): who are your best 2-3 customers today?
  • Pricing signal: approx. price point (helps infer buyer seniority)
  • Constraints: geography, industry focus, company size (if any)

If missing → infer and clearly flag assumptions with [ASSUMPTION].


Step 2 — Generate 3–5 ICP hypotheses

Each ICP must be narrow — specific enough that you could build a list tomorrow.

For each ICP include:

  • Firmographics: company size, funding stage, geography, industry vertical
  • Technographics: tools they use (signals stack maturity and gaps)
  • Trigger events: hiring patterns, funding, leadership changes, tool adoption
  • Buyer persona: exact role + their primary KPI

Good ICP: "Series A SaaS, 25–75 employees, US-based, hiring first SDR, using Salesforce but no SEP" Bad ICP: "Tech startups" or "companies that need more leads"


Step 3 — Score and rank

Score each ICP on 4 dimensions (1–5 each, max 20):

Dimension What it measures
Pain intensity How acutely does this ICP feel the problem?
Budget Can they buy? Do they have the authority?
Reachability Can you build a list and reach them effectively?
Timing Is there a trigger that creates urgency now?

Rank top 2 ICPs for full development.


Step 4 — Full ICP cards (top 2 only)

For each top ICP:


ICP [N]: [Short descriptive name] Score: X/20 (Pain: X | Budget: X | Reach: X | Timing: X)

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 100 lines · 93 tokens per session scan A a0e2b75afc04

Subscribe to this mod's changes

icp-definer is a skill published in the GitHub repository Othmane-Khadri/YALC-the-GTM-operating-system (301 stars, last pushed 23d ago), licensed MIT. It adds 93 tokens to every session and 898 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.