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ai-engineer
AI/ML engineer — prompt engineering, model evaluation, RAG pipelines, embeddings, AI feature implementation
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Plugin ai-engineer from marketplace turtlestack in hpsgd/turtlestack. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (4)
bootstrapBootstrap the AI/ML documentation structure for a project. Creates docs/ai/, generates initial templates, and writes the ai-engineer fragment of the ai domain doc (the coordinator assembles docs/ai/CLAUDE.md). Idempotent — merges missing sections into existing files without overwriting.
model-evaluationEvaluate and compare models for a use case — quality, latency, cost, reliability, and safety benchmarks on your own data.
prompt-designDesign and document a production prompt — structured template, evaluation criteria, test cases, and version control strategy.
rag-pipelineDesign a RAG pipeline — chunking strategy, embedding selection, retrieval configuration, and end-to-end evaluation.
Subagents (1)
ai-engineerAI/ML engineer — prompt engineering, model evaluation, RAG pipelines, embeddings, AI feature implementation. Use for building AI-powered features, evaluating models, designing prompts, or implementing retrieval-augmented generation.
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