100m-offers

Interviews users to build a Grand Slam Offer with pricing, value stack, and guarantee documentation.

Updated Dec 18, 2025
One-click install
npx skills add https://github.com/l0lxl0lw/dotfiles --skill 100m-offers-l0lxl0lw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 100m-offers
Source: https://github.com/l0lxl0lw/dotfiles/tree/main/ai/shared/skills/business/100m/100m-offers
Command: npx skills add https://github.com/l0lxl0lw/dotfiles --skill 100m-offers-l0lxl0lw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? It turns vague pricing and packaging questions into a written, numbers-backed Grand Slam Offer by interviewing the user about their market, value equation, delivery costs, and risk reversal instead of inventing generic advice. ## Core Features & Use Cases - Structured interview workflow: Asks one question at a time, runs a market gate (pain, purchasing power, targetability, growth), and scores the four Value Equation terms to find the real conversion constraint. - Offer construction: Converts customer problems into solutions, trims delivery components on a cost/value grid, and stacks anchored dollar values against the actual price. - Enhancers and output doc: Applies scarcity, urgency, bonuses, guarantees, and MAGIC naming, then writes a Markdown offer doc with open numbers and one weekly assignment. - Use Case: A consultant whose landing page gets traffic but no buyers uses it to discover that perceived likelihood is the constraint, then ships a conditional guarantee and three matched case studies. ## Quick Start Ask the assistant to build a Grand Slam Offer for your product or service and answer its interview questions about pricing, margins, and customer problems.

Frequently Asked Questions about 100m-offers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a Grand Slam Offer for my service?

Run the interview: pass the market gate, score the four Value Equation terms, list at least ten customer problems, invert each into a solution, then trim and stack components with anchored dollar values. The skill writes the final offer doc with the stack, enhancers, and one weekly assignment.

How do I decide what to charge for my product?

Price to value, not cost. The skill asks what the outcome is worth to the buyer in year one, then positions the price as a fraction of that number with a value stack above it, since a price presented in isolation always reads as too high.

When should I use a guarantee in my offer?

Use a guarantee when perceived likelihood of achievement is the Value Equation constraint, but only after checking your refund rate and whether the business survives if 10% of buyers invoke it. Conditional guarantees are the default recommendation.

When is this offer framework the wrong tool?

It is the wrong tool when too few people see the offer at all, which is a leads problem, or when customers exist but cash flow fails, which is a money problem. The built-in scope check redirects those cases before any offer work begins.

Why does the skill refuse to give instant pricing advice?

An offer invented from a two-sentence description is one the user will not ship. The interview surfaces real numbers like margin, delivery hours, and close rate, and missing figures are recorded as open numbers that become the next week of work.