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ml-pipeline

MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality). Enforces a strict 16-step pipeline that starts with inspecting the raw data, gates each phase behind the user's explicit permission, and produces marimo notebooks with matplotlib visuals so the user can see and understand every step. Never jump straight to model training.

plugins/jananthan30/ml-pipeline/skills/ml-pipeline/SKILL.md

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Nov 6, 2026
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Apache-2.0

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# ML Pipeline Discipline

**Hard rule: no model is trained until every earlier step in the pipeline is done and the
user has explicitly approved the phase gates before it.** "Train a model on this data" is a
request to *start the pipeline at step 1*, not at step 10.

## The pipeline (strict order — never reorder, never skip silently)

```
RAW DATA
  → 1. Data inspection
  → 2. Exploratory data analysis (EDA)
  → 3. Define the prediction problem
  ──────────── GATE A: user approval ────────────