What are the audit criteria for messaging examples?

The skill checks for 'Phase 1' signal words like 'efficiency' or 'speed,' ensuring the 'After' state focuses on customer outcomes and that the technical product is not the primary subject of the sentence.

Can I use this for non-Deep Tech industries?

While optimized for complex technology sectors, the underlying logic of reframing technical features into value-driven outcomes can be applied to any B2B or enterprise software domain.

How does the 'Research' mode work?

It searches for the historical messaging of successful startups, comparing their early technical descriptions (Series A) with their current market-ready positioning (Series B+) to provide real-world transformation examples.

What is the primary purpose of the Examples Maintenance skill?

It is designed to manage the reference library of the deep-reframe project, ensuring that examples used to train or guide AI messaging are high-quality, customer-centric, and technically accurate.

Deep Tech Messaging Auditor

Name: Deep Tech Messaging Auditor
Author: nakamoto-masa

bynakamoto-masa

0•

コンテンツ管理

Maintains and expands high-quality messaging examples to transform complex technical descriptions into customer-centric value propositions.

The Examples Maintenance skill is a specialized utility for the deep-reframe ecosystem, designed to ensure that technical messaging references remain accurate, impactful, and grounded in real-world success. It automates the auditing of messaging patterns against strict diagnostic criteria, identifies 'Phase 1' technical jargon, and researches the historical positioning shifts of Series B+ startups. By bridging the gap between raw engineering specifications and strategic market positioning, this skill helps users build a robust library of reframing patterns for deep tech domains like robotics, biotech, and infrastructure.

主な機能

01Gap analysis to identify missing industrial or scientific use cases

02Historical research of real-world startup messaging evolution (Before/After)

03Automated quality auditing of messaging examples using diagnostic rubrics

04Domain-specific expansion of reframing patterns for new technical sectors

050 GitHub stars

06Signal word detection to eliminate technical-subject bias and jargon

ユースケース

01Expanding an AI agent's reference data to include specialized domains like Quantum or MedTech

02Refining a technical documentation library to focus on customer-centric outcomes

03Benchmarking a startup's messaging against successful Series B industry peers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nakamoto-masa/deep-reframe examples-maintenance

For use in Claude.ai and ChatGPT

主な機能

01Gap analysis to identify missing industrial or scientific use cases

02Historical research of real-world startup messaging evolution (Before/After)

03Automated quality auditing of messaging examples using diagnostic rubrics

04Domain-specific expansion of reframing patterns for new technical sectors

050 GitHub stars

06Signal word detection to eliminate technical-subject bias and jargon

ユースケース

01Expanding an AI agent's reference data to include specialized domains like Quantum or MedTech

02Refining a technical documentation library to focus on customer-centric outcomes

03Benchmarking a startup's messaging against successful Series B industry peers