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Expert Thinking Skill Creation Framework

Reusability

A 10-step framework for creating Claude Skills that think like experts rather than just following procedural steps

How It Works

Focuses on making AI internalize domain expertise and principles rather than just executing checklists, leading to more sophisticated and contextual outputs

Components

1

Understand what problem the skill solves

2

Explore where Claude fails without guidance

3

Research the domain deeply

4

Synthesize and extract principles from research

5

Draft initial skill version

6

Self-critique against quality criteria

7

Iterate based on feedback and gaps

8

Test skill on real scenarios

9

Finalize into optimal structure

10

Focus on expert thinking, not step-following

When to Use

When creating advanced Claude Skills that need to provide expert-level insights and recommendations

When Not to Use

For simple, procedural tasks where step-by-step instructions are sufficient

Anti-Patterns to Avoid

Creating skills that just follow procedural stepsProducing intermediate documents instead of final outputMaking skills sound like documentation rather than practitionersIncluding sections that don't earn their place

Example

Instead of creating a copywriting skill that follows a checklist of 'check headlines, check CTAs,' create one that thinks like a conversion expert who understands psychology, user behavior, and business objectives to provide nuanced recommendations.

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