Skill · em Dados, IA e pesquisa

senior-ml-engineer

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when…

Procedência

Origem: davila7/claude-code-templates
Caminho: cli-tool/components/skills/development/senior-ml-engineer
Versão fixada: 57f899e5394bb8ca166f38eacae8f0853cbfe033
Licença: MIT
Espelhado em 25/09/2026
20 downloads no Claude Code Templates (lido em 25/09/2026)

Antes de instalar

7 arquivos · 17,7 KB · inclui 3 scripts que executam: scripts/ml_monitoring_suite.py, scripts/model_deployment_pipeline.py, scripts/rag_system_builder.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/senior-ml-engineer/.

d=".claude/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/senior-ml-engineer/.

d="$HOME/.claude/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/senior-ml-engineer/.

d=".agents/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/senior-ml-engineer/.

d="$HOME/.agents/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/senior-ml-engineer/.

d=".agents/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/senior-ml-engineer/.

d="$HOME/.gemini/antigravity-cli/skills/senior-ml-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-ml-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/llm_integration_guide.md" "$u/references/llm_integration_guide.md" \
  -o "$d/references/mlops_production_patterns.md" "$u/references/mlops_production_patterns.md" \
  -o "$d/references/rag_system_architecture.md" "$u/references/rag_system_architecture.md" \
  -o "$d/scripts/ml_monitoring_suite.py" "$u/scripts/ml_monitoring_suite.py" \
  -o "$d/scripts/model_deployment_pipeline.py" "$u/scripts/model_deployment_pipeline.py" \
  -o "$d/scripts/rag_system_builder.py" "$u/scripts/rag_system_builder.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.senior-ml-engineer

Prévia do SKILL.md

---
name: senior-ml-engineer
description: World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML mod…
---

# Senior ML/AI Engineer

World-class senior ml/ai engineer skill for production-grade AI/ML/Data systems.

## Quick Start

### Main Capabilities

```bash
# Core Tool 1
python scripts/model_deployment_pipeline.py --input data/ --output results/

# Core Tool 2  
python scripts/rag_system_builder.py --target project/ --analyze

# Core Tool 3
python scripts/ml_monitoring_suite.py --config config.yaml --deploy
```

## Core Expertise

This skill covers world-class capabilities in:

- Advanced production patterns and architectures
- Scalable system design and implementation
- Performance optimization at scale
- MLOps and DataOps best practices
- Real-time processing and inference
- Distributed computing frameworks
- Model deployment and monitoring
- Security and compliance
- Cost optimization
- Team leadership and mentoring

## Tech Stack
…

Ver todo o marketplace