Meta-Pattern Recognition

SkillDev tools

Spot patterns appearing in 3+ domains to find universal principles

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Meta-Pattern Recognition skill

What this skill tells your AI

The instructions your AI receives, as published by vodailocz/kilo-kit-mcp in skills/problem-solving/meta-pattern-recognition/SKILL.md and read by ahel’s review.

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 InAbstract FormWhere Else?
CPU/DB/HTTP/DNS cachingStore frequently-accessed data closerLLM prompt caching, CDN
Layering (network/storage/compute)Separate concerns into abstraction levelsArchitecture, organization
Queuing (message/task/request)Decouple producer from consumer with bufferEvent systems, async processing
Pooling (connection/thread/object)Reuse expensive resourcesMemory management, resource governance

Process

  1. Spot repetition - See same shape in 3+ places
  2. Extract abstract form - Describe independent of any domain
  3. Identify variations - How does it adapt per domain?
  4. 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

Signals

GitHub stars
26
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
meta-pattern-recognition-vodailocz
Source
github.com/vodailocz/kilo-kit-mcp