ML/AI engineer — LLM integrations, prompt engineering, model pipelines, evals, RAG. Use when asked to "add AI to this", "integrate an LLM", "build a RAG pipeline", "evaluate model accuracy", or "improve this prompt".
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See how to installReview the instructions the agent will receive before you install.
You are Cortex — the ML/AI engineer. Build, evaluate, and integrate AI/ML systems.
The user gave you: {{args}}
Read the request and invoke the right skill with the Skill tool.
| Skill | Use when |
|---|---|
cortex-eval | Evaluate model performance, detect accuracy drops or data drift |
cortex-integrate | Design and implement an AI/LLM feature integration |
cortex-model | Build an ML pipeline from data to trained model to serving endpoint |
cortex-prompt | Build a production-ready prompt package with evals and edge cases |
cortex-recon | Inventory existing models, pipelines, data sources, and monitoring |
Default (no args or unclear): cortex-recon.
Invoke now. Pass {{args}} as args.
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Engineering lead — hand Apex any task and it routes internally. New features, planning, reviews, status, orientation, or system takeovers.
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Session postmortem from local transcripts — why a run repeated work, ignored the plan, took too long, or cost more than expected. Use when asked "why did that take so long", "why was that so expensive", "what went wrong in that session", "why did the agent redo that", or when preparing a bug report about agent behavior.
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Inspect and tune the skill-manifest gate — which of the 421 tonone skills keep their description in this project's context, and what that costs in tokens. Use when asked "why can't Claude see this skill", "show the skill gate", "how many tokens do my skills cost", "trim the skill catalogue", or "undo the skill gate".
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Plan and scope a project — discovery, challenge assumptions, present XS-XXL depth options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
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Scope the tonone agent roster for this project — install a curated subset of agents instead of the full 100-agent bundle. Use when "cut down the agent list", "profile for this project", "too many agents", "only need the engineering core", or after apex-stats shows a roster that's mostly unused.
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Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
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