feature-engineering-patterns
Catalog of ready-to-use feature transformations — categorical encoding, numeric transforms, date features, interactions, and selection.
Skill by delany-ramirez
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/delany-ramirez-feature-engineering-patterns-0a21d4
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About
Use cases: data
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/feature-engineering-patterns
What's inside
- Skill name
feature-engineering-patterns- Description
- Catalog of ready-to-use feature transformations — categorical encoding, numeric transforms, date features, interactions, and selection. Use when transforming variables for modeling. Includes when to apply each technique based on data distribution and cardinality.
- License
- unknown
- Instructions
- 32 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Standard templates for executive, technical, and metrics reports.
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Conventions and a scaffold for prototyping interactive Streamlit dashboards from pipeline outputs (cleaned data, EDA, modeling, and validation reports).
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visualization
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Use whenever creating data visualizations — histograms, scatter plots, heatmaps, time series, correlation matrices, distributions, or any chart for EDA or…
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python-data-stack
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Approved conventions and patterns for pandas, numpy, scikit-learn, matplotlib, and seaborn in this project.
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data-governance
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Rules for handling sensitive data and PII, transformation lineage, and basic compliance.
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Patterns for processing large datasets (>1M rows or >500MB) with Dask or Polars.
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Standard for logging ML experiments — parameters, metrics, artifacts, and metadata.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 31, 2026 (5 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
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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- 0.492score
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research-context
delany-ramirez
Use to find academic literature, industry benchmarks, similar public datasets, or prior technical solutions for a data problem.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
data-profiling
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Use to generate standard descriptive statistics for a DataFrame — dtypes, nulls, distributions, cardinality, correlations, and an overall quality score.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
llm-data-analysis
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SkillCFreshness: C★ 1Claude Code +9 - 0.492score
data-ingestion
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Use when reading, loading, or connecting to any data source — local files (CSV, TSV, Parquet, JSON, JSONL, Excel), SQL databases, REST APIs, or cloud buckets…
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Cite this page
feature-engineering-patterns skill. Agent Mart. https://agentmart.dev/skills/delany-ramirez-feature-engineering-patterns-0a21d4 (last updated 2026-10-24)