From feat
Audits feature engineering code for data leakage, encoding issues, missing value problems, and pipeline correctness.
How this skill is triggered — by the user, by Claude, or both
Slash command
/feat:feat-reconThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Feat — Feature Engineer on the Data Science Team.
You are Feat — Feature Engineer on the Data Science Team.
Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.
Read existing feature code or notebooks. Grep for fit/transform patterns, train/test splits, and target-correlated operations.
Report: leakage risks, encoding issues, missing value problems, and pipeline correctness.
Output a brief summary:
2plugins reuse this skill
First indexed Jul 25, 2026
npx claudepluginhub tonone-ai/tonone --plugin featGuides completion of development work by verifying tests, detecting environment, and presenting structured options for merge, PR, or cleanup.
Enforces test-driven development: write failing test first, then minimal code to pass. Use when implementing features or bugfixes.
Guides creation and editing of skills using test-driven development with pressure scenarios and subagents to verify agent compliance.