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machine-learning

**[REQUIRED]** For **ALL** data science and machine learning tasks.

Skill by Heath-Moose

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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/heath-moose-machine-learning

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

**[REQUIRED]** For **ALL** data science and machine learning tasks. This skill should ALWAYS be loaded in even if only a portion of the workflow is related to machine learning. Use when: analyzing data, training models, deploying models to Snowflake, registering models, working with ML workflows, running ML jobs on Snowflake compute, model registry, model service, model inference, log model, deploy pickle file, experiment tracking, model monitoring, ML observability, tracking drift, model performance analysis, distributed training, XGBoost, LightGBM, PyTorch, DPF, distributed partition function, many model training, hyperparameter tuning, HPO, compute pools, train at scale, pipeline orchestration, DAG, task graph, schedule training. Routes to specialized sub-skills.

Use cases: devops, data, ml, productivity

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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
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/machine-learning

What's inside

Skill name
machine-learning
Description
**[REQUIRED]** For **ALL** data science and machine learning tasks. This skill should ALWAYS be loaded in even if only a portion of the workflow is related to machine learning. Use when: analyzing data, training models, deploying models to Snowflake, registering models, working with ML workflows, running ML jobs on Snowflake compute, model registry, model service, model inference, log model, deploy pickle file, experiment tracking, model monitoring, ML observability, tracking drift, model performance analysis, distributed training, XGBoost, LightGBM, PyTorch, DPF, distributed partition function, many model training, hyperparameter tuning, HPO, compute pools, train at scale, pipeline orchestration, DAG, task graph, schedule training. Routes to specialized sub-skills.
License
unknown
Instructions
278 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (26)

  • SKILL.md
  • SKILL.md · batch-inference-jobs/
  • SKILL.md · batch-inference-jobs/non-template/
  • SKILL.md · batch-inference-jobs/template/
  • SKILL.md · debug-inference/
  • SKILL.md · distributed-training/
  • SKILL.md · distributed-training/dpf/
  • SKILL.md · distributed-training/estimators/
  • SKILL.md · distributed-training/mmt/
  • compute-pool-sizing.md · distributed-training/references/
  • monitoring-troubleshooting.md · distributed-training/references/
  • SKILL.md · distributed-training/tuner/
  • SKILL.md · experiment-tracking/
  • cli-environment.md · guides/
  • snowsight-environment.md · guides/
  • SKILL.md · inference-logs/
  • SKILL.md · ml-development/
  • SKILL.md · ml-jobs/
  • SKILL.md · ml-pipeline-orchestration/
  • operations.md · ml-pipeline-orchestration/references/
  • SKILL.md · model-monitor/
  • SKILL.md · model-registry/
  • SKILL.md · model-registry/hugging-face-models/
  • SKILL.md · model-registry/partitioned-inference/
  • snowpark_session.py · scripts/
  • SKILL.md · spcs-inference/

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

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Last commit (this folder)
Mar 26, 2026 (7 months ago)
Last release
Mar 26, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Heath-Moose

Cite this page

machine-learning skill. Agent Mart. https://agentmart.dev/skills/heath-moose-machine-learning (last updated 2026-10-24)