chayen-ai-engineering
Build and evaluate ML and LLM features in Python, .NET, or TypeScript, covering dataset readiness and leakage, experiment design, model evaluation and serving, drift, RAG pipelines and retrieval evaluation, prompt and tool evals, red-teaming your own LLM app, LLM observability, agent skills, and agent permission reviews. Not for routine data pipelines, attacking third-party AI systems, or legal AI compliance.
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- skills/chayen-ai-engineering/SKILL.md
- skills/chayen-ai-engineering/references/agent-governance.md
- skills/chayen-ai-engineering/references/agent-skills.md
- skills/chayen-ai-engineering/references/ai-tooling.md
- skills/chayen-ai-engineering/references/context-capsule-template.md
- skills/chayen-ai-engineering/references/llm-and-agent-evaluation.md
- skills/chayen-ai-engineering/references/llm-observability.md
- skills/chayen-ai-engineering/references/llm-safety.md
- skills/chayen-ai-engineering/references/ml-data.md
- skills/chayen-ai-engineering/references/ml-experiments-and-evaluation.md
- skills/chayen-ai-engineering/references/model-serving.md
- skills/chayen-ai-engineering/references/provider-compatibility.md
- skills/chayen-ai-engineering/references/rag.md
- skills/chayen-ai-engineering/references/session-handoff.md
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