bot-developer

Rate limiting and moderation for Discord bots require distributed architectures using Redis for rate-limit state and PostgreSQL for audit trails. This Skill provides production templates with event-driven design, point-based escalation rules, and async handlers using FastAPI and discord.py to handle high-volume traffic reliably.

Stateful conversations use finite state machines to track user flow across turns. This Skill provides Python state machine implementations with asyncpg for persistent state storage and python-telegram-bot webhooks, enabling complex onboarding, form collection, and branching logic without losing context.

Yes. FastAPI handles webhook routing and async request processing while asyncpg manages stateful data in PostgreSQL. This Skill covers platform-specific templates for Slack, including proper logging, resource cleanup, and security checklists for production deployment.

Auto-moderation systems combine word filtering, spam detection, and point-based user escalation with automatic decay over time. This Skill implements these rules in Redis and PostgreSQL with event-driven triggers, enabling bots to enforce policies autonomously across Discord, Telegram, and Slack.

Redis rate limiters scale well for single-node deployments but require clustering and careful key expiration strategy under extreme load. This Skill addresses distributed rate-limiting patterns, failover considerations, and PostgreSQL fallback options for scenarios where consistency outweighs pure speed.

Both serve distinct roles: PostgreSQL provides durable audit trails and complex queries for moderation history; Redis handles fast, ephemeral state like rate-limit counters and session data. This Skill shows how to layer them for reliability, though single-database setups trade durability or latency.