meta-pattern-recognition

Meta-Pattern Recognition

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Install skill "meta-pattern-recognition" with this command: npx skills add fimoklei/pm-ai-playbook/fimoklei-pm-ai-playbook-meta-pattern-recognition

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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