AI/LLM system architecture: software arch, pipelines, conops, design patterns, audit, implementation. Topics: ai-conops, ai-design-patterns, ai-pipeline-architecture, ai-software-architecture, audit, chatbot-design, embedding-strategy, fine-tuning-prep, implementation, prompt-engineering, rag-patterns, structured-output, voice-interface.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow in references/chatbot-design.md ingests user-authored chat messages/inputs from chat channels without prior sanitization or selection.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.