agent-ml-engineer
From the author
Specialist subagent: Expert machine learning engineer for PyTorch, TensorFlow, LLM integration, and ML pipelines
Install
npx skills add travisjneuman/.claude --skill agent-ml-engineer -a claude-code
Installs to .claude/skills/agent-ml-engineer/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 83
Security100
Provenance64
Maintenance100
Licence100
Adoption35
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- senior-ml-engineerforyourhealth111-pixel/Vibe-SkillsWorld-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.DevOps★ 3.8K
- agent-realtime-specialisttravisjneuman/.claudeSpecialist subagent: Expert real-time systems specialist for WebSockets, SSE, and live data applicationsPlanning★ 106
- agent-microservices-architecttravisjneuman/.claudeSpecialist subagent: Expert microservices architect for distributed system design, service decomposition, and resilience patternsPlanning★ 106
- agent-monetization-experttravisjneuman/.claudeSpecialist subagent: Expert in revenue models, pricing strategy, and business monetizationPlanning★ 106
- ml-engineeraAAaqwq/AGI-Super-TeamBuild production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.Testing★ 111
- agent-data-engineertravisjneuman/.claudeSpecialist subagent: ETL pipelines, data warehousing, stream processing, and data infrastructure specialist. Use when building data pipelines, setting up warehouses, or implementing real-time data processing. Trigger phrases: ETL, pipeline, data warehouse, BigQuery, Snowflake, Redshift, Kafka, Airflow, dbt, streaming, data lake, data model, star schema.DevOps★ 106
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in