skills/meta-pattern-recognition/SKILL.md
--- name: meta-pattern-recognition version: "1.0.0" author: "DunCrew" metadata: openclaw: emoji: "🔄" primaryEnv: "shell" --- --- 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 prin
npx skillsauth add fatby/duncrew meta-pattern-recognitionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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--- 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 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
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