What problem does it solve?
Many chat bots fail in production because they lack scalable architecture, distributed rate limiting, reliable multi-turn state management, and robust moderation workflows. This Skill captures battle-tested patterns and operational checklists to prevent bans, outages, and lost conversation context so bots remain reliable under load.
Core Features & Use Cases
- Event-driven architecture patterns for separating command processing, event handlers, and background tasks to improve scalability and observability.
- Distributed and adaptive rate limiting designs (Redis-backed and header-aware) plus finite state machines for multi-turn conversation flows and race-condition prevention.
- Production moderation systems including point-based escalation, auto-mod rules (spam, caps, links, fuzzy banned-words), audit logging, and graceful degradation.
- Use Case: Build a Discord moderation bot that enforces community rules automatically, decays infraction points over time, respects API rate limits, and preserves user conversation state across restarts.
Quick Start
Ask the assistant to design a production-grade Discord moderation bot with event-driven architecture, Redis-backed rate limiting, finite state machines for multi-turn flows, and a point-based auto-mod system.
