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staff-ml-engineer

ML model development and MLOps skill.

Skill by WayneBanksy

IndexedLicense unknown
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/waynebanksy-staff-ml-engineer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

ML model development and MLOps skill. Invoke when the user wants to build, train, evaluate, serve, or monitor machine learning models. Use when the request involves: scikit-learn pipelines, XGBoost/LightGBM, Prophet time-series forecasting, PyTorch training loops, feature engineering or feature store design, MLflow experiment tracking and model registry, Optuna hyperparameter tuning, model evaluation (precision, recall, AUC-ROC, RMSE), anomaly detection (Isolation Forest, PyOD), model serving via FastAPI or SageMaker, Evidently drift monitoring, model cards, or train/test splitting strategy. Also invoke for: data leakage prevention, reproducibility controls, and ML pipeline orchestration. Skip for trading-specific signals and backtesting (algo-trading-ml), data pipeline orchestration (staff-data-engineer), Python code quality (staff-python-engineer), and Docker/K8s deployment (staff-devops-engineer).

Use cases: design, backend, testing, devops

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/staff-ml-engineer

What's inside

Skill name
staff-ml-engineer
Description
ML model development and MLOps skill. Invoke when the user wants to build, train, evaluate, serve, or monitor machine learning models. Use when the request involves: scikit-learn pipelines, XGBoost/LightGBM, Prophet time-series forecasting, PyTorch training loops, feature engineering or feature store design, MLflow experiment tracking and model registry, Optuna hyperparameter tuning, model evaluation (precision, recall, AUC-ROC, RMSE), anomaly detection (Isolation Forest, PyOD), model serving via FastAPI or SageMaker, Evidently drift monitoring, model cards, or train/test splitting strategy. Also invoke for: data leakage prevention, reproducibility controls, and ML pipeline orchestration. Skip for trading-specific signals and backtesting (algo-trading-ml), data pipeline orchestration (staff-data-engineer), Python code quality (staff-python-engineer), and Docker/K8s deployment (staff-devops-engineer).
License
unknown
Instructions
314 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • eval_set.json · evals/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from WayneBanksy/wayneys_claude

Signals

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Forks
1
Open issues
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Last commit (this folder)
Apr 27, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/WayneBanksy/wayneys_claude
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from WayneBanksy

Cite this page

staff-ml-engineer skill. Agent Mart. https://agentmart.dev/skills/waynebanksy-staff-ml-engineer (last updated 2026-10-24)