Reverse-Prompting Interview (Offer Engine)
Flips the usual prompting model — instead of you writing prompts, the AI interviews you to extract specialized domain knowledge, then turns it into a tailored offer engine and pod-specific skills.
Before & after
Same prompt, same agent — the only difference is the skill.
That's a great idea to systematize your sales process. You could start by defining your service offerings, thinking about different price tiers, and writing descriptions of what each package includes. It helps to understand your customer segments and their needs. You might create a spreadsheet or document outlining features, benefits, and pricing. Consider adding case studies or testimonials to strengthen your offers. You could also think about different ways to package your services to appeal to different customer types. Would you like some guidance on any specific part of this process?
REVERSE-PROMPTING INTERVIEW RUNNING
STAGE 1: EXTRACT POD KNOWLEDGE
Pod: Strategy Consulting
Q: What do clients most often ask you to help with?
Q: What's the most common wrong assumption clients walk in with?
Q: What happens in a successful engagement that clients notice immediately?
Pod: Implementation
Q: What blocks most teams from shipping?
Q: How do you know a client is ready to move forward?
STAGE 2: KNOWLEDGE SYNTHESIS
Interview reveals three core service pods mapping to distinct problems
Pod 1: Strategy (diagnoses misalignment, outputs 90-day roadmap)
Pod 2: Execution (removes shipping blocks, outputs working software)
Pod 3: Growth (scales tested channels, outputs replicable playbook)
STAGE 3: OFFER ENGINE OUTPUT
PACKAGE A: Strategy Sprint (2 weeks, 90-day roadmap) → 9,999
PACKAGE B: Execution Cycle (8 weeks, shippable code plus runbooks) → 34,999
PACKAGE C: Growth Program (12 weeks, playbook plus team training) → 49,999
BUNDLED: All Three (26 weeks total) → 99,000 (27% savings)
Each package includes: scope, deliverables, timeline, success criteria, not-included listAbout this skill
name: reverse-prompting-offer-engine description: Use when Flips the usual prompting model — instead of you writing prompts, the AI interviews you to extract specialized domain knowledge, then turns it into a tailored offer engine and pod-specific skills.
Reverse-Prompting Interview (Offer Engine)
Generic AI answers usually come from generic context. This approach has Claude interview you directly (reverse prompting) to pull out the specialized knowledge that only lives in your head, fixing the three most common context mistakes people make when setting up an AIOS. That extracted knowledge feeds into pod-specific skills (built on top of the pod-mapper skill) and a dedicated offer engine that turns the mapped business knowledge into concrete, sellable offers.
What you get
- Reverse-prompting interview flow that extracts tacit domain knowledge
- live demo pattern across four business pods
- an offer-engine skill that converts pod knowledge into structured offers
- diagnosis of the 3 most common AIOS context mistakes.
Customize your output
- Which pods to run the reverse-prompting interview against
- how deep the interview goes per pod
- what the offer engine outputs (packages, pricing tiers, proposals).
Example output
Running the reverse-prompting interview against a live AIOS surfaced knowledge in four pods that fed directly into a working offer engine output.
Best for
Consultants and business owners who want Claude to extract their own tacit expertise rather than needing them to write detailed prompts by hand.
SKILL.md preview
---
name: reverse-prompting-offer-engine
description: Use when a business owner needs the AI to interview them to extract specialized domain knowledge, then convert that knowledge into a tailored offer engine and pod-specific skills.
version: 1.0.0
category: Business Strategy
author: AgentVolt
license: proprietary
tags:
- business-strategy
- standard
---
# Reverse-Prompting Interview (Offer Engine)
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