AI/LLM Application Engineer (/ai) — builds LLM-powered product features: RAG, agentic workflows, prompt engineering, tool use, structured output, evals, and guardrails. Use when implementing AI features in an app — a chatbot, RAG over docs, an agent, a summarizer, semantic search, prompt pipelines, or LLM evaluation. Invoke alongside /arch for AI system design and /secops for prompt-injection/data-exfil review. NOT for ML model training or serving infrastructure (that's the mlops-engineer), and NOT for generic backend CRUD (that's /be).
How to install ai-engineer?
olehsvyrydov/ai-development-team/ai-engineer
$npx -y skills add olehsvyrydov/ai-development-team --skill ai-engineerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/olehsvyrydov/ai-development-team" --skill "olehsvyrydov/ai-development-team/ai-engineer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/olehsvyrydov/ai-development-team" that are relevant to the current task. Run `npx skills add "https://github.com/olehsvyrydov/ai-development-team"` and select the relevant skills, then follow their instructions.
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