feature-store
Build and manage ML features using Databricks Feature Store and Unity Catalog feature engineering.
Skill by TRRaveendra
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/trraveendra-feature-store
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: ml
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/feature-store
What's inside
- Skill name
feature-store- Description
- Build and manage ML features using Databricks Feature Store and Unity Catalog feature engineering.
- License
- unknown
- Instructions
- 75 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- feature_engineering.py · scripts/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 2
- Forks
- 6
- Open issues
- 0
- Last commit (this folder)
- Apr 6, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/TRRaveendra/The-AI-Codex
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Implement unit tests, integration tests, and data validation tests for Databricks notebooks and pipelines.
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performance-tuning
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Cite this page
feature-store skill. Agent Mart. https://agentmart.dev/skills/trraveendra-feature-store (last updated 2026-10-24)