tonone
claudeFull company team — 140 agents, 15 teams. All agents and skills in one install.
200 skills · 140 agents · hooks
77
claude
cortex
ML/AI engineer — model training, MLOps, feature engineering, LLM integration
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Plugin cortex from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.
What it installs
Skills (5)
cortex-evalEvaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".
cortex-integrateDesign and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
cortex-modelBuild an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".
cortex-promptBuild a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".
cortex-reconML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".
Subagents (1)
cortexML/AI engineer — LLM integration, prompt engineering, RAG, evals, and AI feature design for production
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claude & codex plugins156 plugins