Derive differentiators and customer benefits from existing product facts. Use for “Which features should we lead with?” Delivers evidence-backed selling-point candidates when product materials are already available
Installs into .claude/skills of the current project.
Sponsors
SSkills DirectorySkills Directory
Know which skills are safe — weekly.
SSkills DirectorySkills Directory
Is that skill safe to install?
Are you the author of Mk 002?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/backtrue-mk-002)
---
name: mk-002
description: "Derive differentiators and customer benefits from existing product facts. Use for “Which features should we lead with?” Delivers evidence-backed selling-point candidates when product materials are already available"
---
# MK-002 | Unique selling proposition extraction
For a regular chat, upload `packs/mk-002.md`. It includes the shared rules, this method, and required references
## Purpose
This skill delivers: **Evidence-based candidates for differentiated selling points**
Separate features, benefits, and evidence; do not claim exclusivity without competitor data
## Required inputs
Provide: Product specifications, competitor differences, verifiable evidence, and intended customers
## Method
1. First identify three important USPs from the product information to form the core of the product page, FABE, and subsequent creative materials
2. A USP should explain why the product deserves to exist relative to the current situation or alternatives, rather than using generic adjectives that could apply to any product
3. When the AI identifies the wrong points, correct them through brand feedback, then use discussion/voting to converge on three revised USPs
## Calculations and interpretation
Use only verifiable product differences. Mark claims lacking evidence as needing support; do not generate fabricated evidence
## Required output fields
| Order | Field | How to complete |
|---:|---|---|
| 1 | Factual feature | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 2 | Customer task | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 3 | Tangible benefit | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 4 | Basis for comparison | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 5 | Suitable angle | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 6 | Lead/supporting/to investigate | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
| 7 | Reason | Use source evidence, an intermediate method result, or an explicit unknown; do not invent information |
## Verification cases
**MK-002-C05 | The specification is true, but no industry comparison data is available**
Expected: Functional benefits may be proposed; do not claim the product is unique or number one
**MK-002-C06 | The information consists only of technical terms**
Expected: Explain their role under the known usage conditions first; do not invent unverified effects
## Method sources
Source file: Meta廣告學程 101 讓AI幫你投出廣告
Location: USP
Source basis: extracted from course materials
Source URL: https://docs.google.com/presentation/d/19GaScd4rGE8V4iqPfemeK8-QAwbSIeOKGpB5OwwTMlo/edit
English translation of source excerpt:
> Help identify the product's USP (Unique Selling Proposition). This is also your first opportunity to communicate with the AI. It is good if it identifies the point, but if it does not get what you mean, make sure to tell it your thinking