machine-learning
**[REQUIRED]** For **ALL** data science and machine learning tasks.
Skill by Heath-Moose
Chalk Labs
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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/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
Use cases: devops, data, ml, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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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**[REQUIRED]** Use for **ALL** Snowflake Dynamic Table operations: creating, optimizing, monitoring, and troubleshooting.
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**[REQUIRED]** Use for **ALL** declarative sharing and application packages with TYPE=DATA.
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dbt-projects-on-snowflake
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ONLY for dbt projects deployed INTO Snowflake as native objects via the `snow dbt` CLI — NOT for normal dbt development.
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Analyze data lineage and dependencies in Snowflake.
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cortex-code-guide
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Complete reference guide for Cortex Code (CoCo) CLI.
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deploy-to-spcs
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Deploy containerized apps to Snowpark Container Services.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- 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
- Source
- GitHubgithub-graphql
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**[REQUIRED]** Use for ALL requests that mention agents: list, show, create, build, set up, edit, modify, update, delete, drop, remove, download, export…
SkillDFreshness: DClaude Code +9 - 0.409score
developing-with-streamlit
Heath-Moose
**[REQUIRED]** Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit applications.
SkillDFreshness: DClaude Code +9 - 0.409score
cost-intelligence
Heath-Moose
**[REQUIRED]** Use for ALL Snowflake cost and billing questions: spending, credits, costs, warehouse costs, compute costs, serverless, tasks, Cortex, AI…
SkillDFreshness: DClaude Code +9 - 0.409score
dashboard
Heath-Moose
Create, modify, and answer questions about interactive dashboards with charts, tables, and markdown widgets.
SkillDFreshness: DClaude Code +9 - 0.409score
dcm
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Use for **ALL** requests that mention: create, build, set up, debug, fix, troubleshoot, optimize, improve, evaluate, or analyze a DCM project.
SkillDFreshness: DClaude Code +9 - 0.409score
dynamic-tables
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**[REQUIRED]** Use for **ALL** Snowflake Dynamic Table operations: creating, optimizing, monitoring, and troubleshooting.
SkillDFreshness: DClaude Code +9
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Cite this page
machine-learning skill. Agent Mart. https://agentmart.dev/skills/heath-moose-machine-learning (last updated 2026-10-24)