skills.rest
DKSang
DKSangCOMMUNITY
Explore all skills by this author →
GitHub

des-learning-review

Summarize DES learning progress and identify weak concepts from learning artifacts.

2|Updated May 20, 2026
Search Tags:#data engineering#gap analysis#readiness assessment#study plan#learning progress#workflow phases#agent tutoring
One-click install
npx skills add https://github.com/DKSang/DES-SKILL --skill des-learning-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: des-learning-review
Source: https://github.com/DKSang/DES-SKILL/tree/main/skills-learning/des-learning-review
Command: npx skills add https://github.com/DKSang/DES-SKILL --skill des-learning-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand where you are in the DES learning workflow by turning scattered learning evidence into a clear, evidence-based progress review with next steps.

Core Features & Use Cases

  • Evidence-based learning readiness: Summarizes overall progress, module progress, and phase readiness without claiming mastery when evidence is missing.
  • Gap and blocker identification: Highlights strengths, weak concepts, unresolved gaps, learning blockers, and specifically calls out open High/Blocking gaps.
  • Actionable next learning plan: Produces a review plan plus a recommended next learning skill and (when safe) the next DES lifecycle phase.

Quick Start

Ask an AI agent to run des-learning-review to summarize your current DES learning progress, identify your weakest concepts, and recommend what to study next.

Frequently Asked Questions about des-learning-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess my data engineering learning progress and identify weak concepts?▼

A learning readiness assessment evaluates your accumulated study evidence to produce a progress summary, calling out open blocking gaps and generating an actionable next study plan without falsely claiming mastery.

What is the best way to perform a gap analysis on my study plan before moving to the next phase?▼

Performing a gap analysis on a study plan involves reviewing evidence from completed modules to identify unresolved learning blockers, ensuring you only advance to the next workflow phase when readiness criteria are safely met.

Can I get a readiness check for my data engineering modules without claiming false mastery?▼

Yes, a readiness check summarizes your module progress based strictly on available artifacts, explicitly flagging missing evidence and blocking gaps rather than assuming you have mastered the concepts.

Do I need prior learning artifacts to use an agent tutoring review for data engineering?▼

Yes, you need prior learning artifacts and status evidence from your DES phases, because the review mechanism analyzes these existing materials to produce an evidence-based output file with next study actions.

How do I generate an actionable study plan after completing data engineering workflow phases?▼

To generate an actionable study plan after workflow phases, run a learning review that maps your current evidence to recommended next learning skills and outputs specific study actions for continuing the lifecycle.

Related Skills

Explore More Education & Research Skills→
DKSangDKSang
2

des-learning-status-update

Scan DES learning artifacts and update des-learning-status.md with evidence-backed status.

Community
Intermediate
DKSangDKSang
2

des-learning-path

Create a structured Data Engineering learning plan from DES lifecycle artifacts.

Community
Intermediate
plaidfinchplaidfinch

sicp-tutor

Guide students through SICP exercises using Socratic questioning and adaptive hints.

Community
Basic
kirilxdkirilxd
109

quiz

Generate adaptive mixed-format quizzes targeting weak concepts from progress files.

Community
Intermediate