Meta-Pattern Recognition | full-toolkit | ClaudePluginHub

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Meta-Pattern Recognition

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Description

Spot patterns appearing in 3+ domains to find universal principles

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This skill inherits all available tools. When active, it can use any tool Claude has access to.

Skill Content

name: Meta-Pattern Recognition description: Spot patterns appearing in 3+ domains to find universal principles when_to_use: when noticing the same pattern across 3+ different domains or experiencing déjà vu in problem-solving version: 1.1.0

Meta-Pattern Recognition

Overview

When the same pattern appears in 3+ domains, it's probably a universal principle worth extracting.

Core principle: Find patterns in how patterns emerge.

Quick Reference

Pattern Appears In	Abstract Form	Where Else?
CPU/DB/HTTP/DNS caching	Store frequently-accessed data closer	LLM prompt caching, CDN
Layering (network/storage/compute)	Separate concerns into abstraction levels	Architecture, organization
Queuing (message/task/request)	Decouple producer from consumer with buffer	Event systems, async processing
Pooling (connection/thread/object)	Reuse expensive resources	Memory management, resource governance

Process

Spot repetition - See same shape in 3+ places
Extract abstract form - Describe independent of any domain
Identify variations - How does it adapt per domain?
Check applicability - Where else might this help?

Example

Pattern spotted: Rate limiting in API throttling, traffic shaping, circuit breakers, admission control

Abstract form: Bound resource consumption to prevent exhaustion

Variation points: What resource, what limit, what happens when exceeded

New application: LLM token budgets (same pattern - prevent context window exhaustion)

Red Flags You're Missing Meta-Patterns

"This problem is unique" (probably not)
Multiple teams independently solving "different" problems identically
Reinventing wheels across domains
"Haven't we done something like this?" (yes, find it)

Remember

3+ domains = likely universal
Abstract form reveals new applications
Variations show adaptation points
Universal patterns are battle-tested

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Updated 20 hours ago

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