ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
npx skills add majiayu000/claude-skill-registry --skill ai-engineer-akramhezam-khaleel-gecec --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures. ## Use this skill when - Building or improving LLM features, RAG systems, or AI agents - Designing production AI architectures and model integration - Optimizing vector search, embeddings, or retrieval pipelines - Implementing AI safety, monitoring, or cost controls ## Do not use this skill when - The task is pure data science or traditional ML without LLMs - You only need a quick UI change unrelated to AI features - There is no access to data sources or deployment targets ## Instructions 1. Clarify use cases, constraints, and success metrics. 2. Design the AI architecture, data flow, and model selection. 3. Implement with monitoring, safety, and cost controls. 4. Validate with tests and staged rollout plans. ## Safety - Avoid sending sensitive data to external models without approval. - Add guardrails for prompt injection, PII, and policy compliance. ## Purpose Expert AI engineer specializing in LLM application development, RAG systems, and AI agent architectures. Masters both traditional and cutting-edge generative AI patterns, with deep knowledge
- Use this skill when
- Do not use this skill when
- Instructions
- Safety
- Purpose
- Capabilities
- LLM Integration & Model Management
- Advanced RAG Systems
- Agent Frameworks & Orchestration
- Vector Search & Embeddings
- Prompt Engineering & Optimization
- Production AI Systems
- Multimodal AI Integration
- AI Safety & Governance
What does the ai-engineer skill do?
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-engineer-akramhezam-khaleel-gecec --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.