Use when applying feature engineering automation impleme.
Scanned 9/10/2026
Install to Claude Code
Skills Directorynpx -y skills add LoopyLuci/Skills --skill feature-engineering-automation-deep2-implementation --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: feature-engineering-automation-deep2-implementation
description: "Use when applying feature engineering automation impleme."
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [ml, ml-feature-engineering]
related_skills: ['feature-engineering-automation']
---
## Overview
Automate features.
## When to Use
- Apply domain best practices
## Key Approaches
1. Define requirements
2. Choose tools
3. Implement
4. Test
5. Document
6. Monitor
## Common Pitfalls
1. Ignoring constraints
2. Skipping standards
3. Poor alignment
## Verification Checklist
- [ ] Requirements validated
- [ ] Standards applied
- [ ] Design reviewed
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
