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Found 17 Skills
Go data structures including allocation with new vs make, arrays, slices, maps, printing with fmt, and constants with iota. Use when working with Go's built-in data structures, memory allocation, or formatted output.
Zustand store data structure patterns for LobeHub. Covers List vs Detail data structures, Map + Reducer patterns, type definitions, and when to use each pattern. Use when designing store state, choosing data structures, or implementing list/detail pages.
Redis development best practices for caching, data structures, and high-performance key-value operations
Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.
Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
Best practices for implementing efficient business logic on mobile using appropriate algorithms and data structures.
Redis database expert for caching, data structures, Pub/Sub, Streams, Lua scripting, and performance optimization using Bun.redis native client. Use when working with Redis, caching strategies, key-value stores, real-time data, vector search, or document databases. Works alongside bun-expert skill.
Redis data structures and commands including strings, lists, hashes, sets, sorted sets, streams, and transactions for high-performance caching and real-time applications.
Redis expert for caching, pub/sub, data structures, and distributed systems patternsUse when "redis, caching strategy, cache invalidation, pub/sub, rate limiting, distributed lock, session storage, leaderboard, message queue, upstash, redis, caching, pub-sub, session, rate-limiting, distributed-lock, upstash, elasticache, memorystore" mentioned.
Provides comprehensive guidance for Redis including data structures, commands, pub/sub, persistence, clustering, and caching patterns. Use when the user asks about Redis, needs to use Redis for caching, implement Redis data structures, or work with Redis features.
Data structures and algorithms reference based on CLRS. Use this skill when implementing, discussing, or choosing data structures or algorithms. Auto-activates for algorithm selection, complexity analysis, and performance optimization. Comprehensive coverage of fundamental and advanced data structures with pseudocode examples.
Agent skill for pseudocode - invoke with $agent-pseudocode