backend-async-processing
Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.
Implement reliable background job processing systems — queue management, retry policies, dead-letter handling, and distributed workers.
Generate bash script templates with best practices including error handling, argument parsing, logging, and portability considerations.
Analyze and decide between batch and stream processing architectures — latency requirements, cost modeling, and hybrid Lambda/Kappa patterns.
Behavior tree design and implementation skill for game AI. Enables creation of behavior tree structures, custom nodes, decorators, composites, and integration with game engines for NPC and enemy AI systems.
Generates semantic layer definitions for BI tools from dimensional models
Optimize code for branch prediction — branch-free algorithms, likely/unlikely hints, profile-guided optimization, and speculative execution awareness.
Generate Bubble Tea (Go) TUI application structure with models, commands, and views using the Elm architecture.
Causal reasoning implementing DAG construction, do-calculus, and intervention effect estimation