Build unauthenticated public Q&A chatbot widgets with rate limiting and semantic caching.
npx skills add https://github.com/swyxio/skills --skill public-qa-chatbot
Please help me install this Agent Skill. Skill: public-qa-chatbot Source: https://github.com/swyxio/skills/tree/main/public-qa-chatbot Command: npx skills add https://github.com/swyxio/skills --skill public-qa-chatbot
Public-facing chatbot widgets deployed without guardrails quickly exhaust API quotas, leak internal data, or deliver poor user experiences during long conversations. This Skill distills production-tested patterns for rate limiting, security hardening, cost control, observability, and chat scroll behavior so you can serve anonymous visitors safely.
Use the public-qa-chatbot skill to build an unauthenticated public Q&A chatbot widget with rate limiting, semantic caching, and virtualized chat scrolling for your conference or documentation site.
High-intent search queries and answers about installing and using this skill.
Yes, you can serve anonymous visitors safely by using semantic caching and cheap model selection for cost optimization. Semantic caching retrieves similar past answers to reduce LLM calls, keeping expenses predictable for FAQ-style bots.
The chatbot uses an optional virtual filesystem for agentic retrieval instead of relying solely on top-k RAG. This allows the model to browse documentation using ls, cat, and grep-style commands to ensure source-grounded answers.
The best way to implement streaming responses without performance issues is using TanStack Virtual for chat lists. This approach virtualizes long conversation scrolling, ensuring polished widget UX during continuous LLM streaming.
Limitations of using a public Q&A chatbot without observability tracing include poor user experiences during long conversations and untracked costs. Without tracing, you cannot monitor semantic cache hits or enforce rate limiting effectively.
smol-aiImplements secure architecture for public-facing chatbot widgets with rate limiting and semantic caching.
stevenmunozAnalyze Arize AX traces to debug LLM issues and monitor trace health.
iEnergyyVirtualize large lists, grids, and tables to render only visible items.
agentsopeRerank bi-encoder candidate sets with cross-encoders to improve RAG precision.
