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trainee-review

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Structured reviews for trainee ML notebooks

Education & Research#code review#pr review#jupyter#jupytext#trainee review#notebook review#ml mentoring
Authorvitalwarley
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides a repeatable, educational review workflow for trainee and junior ML engineers by turning PR-contained notebooks and analysis scripts into a co-located REVIEW.md with actionable feedback, scoring, and artifacts for learning.

Core Features & Use Cases

  • PR and issue context gathering: fetches PR metadata, related issues, file lists, and author info to ground the review.
  • Notebook conversion and artifacts: converts notebooks to script form, extracts chart images, and co-locates original notebooks plus a pyproject for reproducibility.
  • Structured, educational reviews: produces a REVIEW.md with an executive summary, scoring matrix, detailed findings, prioritized fixes, and trainee-level educational notes, and posts a PT-BR PR comment linking the artifact.
  • Use Case: A tech lead reviewing a junior's Jupyter analysis PR can generate an evidence-based review, request changes, and push the review artifacts alongside the code.

Quick Start

Run the trainee-review skill against a pull request reference to generate a REVIEW.md, extracted charts, converted scripts, and a PT-BR PR comment.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: trainee-review
Download link: https://github.com/vitalwarley/hyprdots/archive/main.zip#trainee-review

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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