Senior ML Engineer

What it does

When your agent uses it

• Deploying ML models
• Building ML platforms
• Implementing MLOps
• Integrating LLMs into production systems

Example prompts

• “/senior-ml-engineer”

Requirements

• Python 3
• Docker

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1Mlops Production Patterns
2. 2Llm Integration Guide
3. 3Rag System Architecture

What it can do on your machine

Read from SKILL.md and the folder at commit 46b4d8b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 3 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python
  • kubectl
  • docker
  • helm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use kubectl, docker and helm, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Senior ML Engineer loads about 1.4k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 438 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~105

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from davila7/claude-code-templates at commit 46b4d8b, republished under its MIT licence (© davila7). 438 words, ~1,377 tokens.

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 models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

# 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

# Development
python -m pytest tests/ -v --cov
python -m black src/
python -m pylint src/

# Training
python scripts/train.py --config prod.yaml
python scripts/evaluate.py --model best.pth

# Deployment
docker build -t service:v1 .
kubectl apply -f k8s/
helm upgrade service ./charts/

# Monitoring
kubectl logs -f deployment/service
python scripts/health_check.py

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in cli-tool/components/skills/development/senior-ml-engineer of davila7/claude-code-templates.

• SKILL.md
• references/llm_integration_guide.md
• references/mlops_production_patterns.md
• references/rag_system_architecture.md
• scripts/ml_monitoring_suite.py
• scripts/model_deployment_pipeline.py
• scripts/rag_system_builder.py

Open the folder on GitHubat commit 46b4d8b

Used in 2 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

• aiskillstore/marketplaceskills/davila7/senior-ml-engineerskills/alirezarezvani/senior-ml-engineer
• foryourhealth111-pixel/Vibe-Skillsbundled/skills/senior-ml-engineer