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Found 22 Skills
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.
Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.
JavaScript runtime performance patterns for hot paths, loops, DOM operations, caching, and data structures. Framework-agnostic.
Redis mastery for caching, data structures, pub/sub, and CLI operations. Use when user asks to "set up Redis", "cache data", "redis commands", "pub/sub", "redis data types", "session store", "rate limiting with Redis", or any Redis tasks.
Use when designing software architecture for bioinformatics pipelines, defining data structures, planning scalability, or making technical design decisions for complex systems.
Agent skill for pseudocode - invoke with $agent-pseudocode
Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.
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.
This skill should be used when configuring Make module parameters, assigning connections, mapping data between modules, setting up webhooks or data stores in modules, working with IML expressions, handling keys, or defining data structures for module inputs/outputs. Covers the practical HOW of module configuration — complementary to make-scenario-building which covers WHICH modules to use and WHY.
Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.