Verified:GitHub

des-learning-status-update

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

2|Updated May 20, 2026

Search Tags:#coaching #evidence tracking #workflow status #learning progress #quiz readiness #gap diagnosis #data engineering learning

Ready to run

npx skills add https://github.com/DKSang/DES-SKILL --skill des-learning-status-update

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: des-learning-status-update
Source: https://github.com/DKSang/DES-SKILL/tree/main/skills-learning/des-learning-status-update
Command: npx skills add https://github.com/DKSang/DES-SKILL --skill des-learning-status-update

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents learning progress from getting out of sync with the evidence produced across DES phases, so an agent and user can reliably see what has been explained, quizzed, diagnosed, coached, and verified.

Core Features & Use Cases

Evidence-driven learning state tracking: Scans DES planning artifacts and learning outputs (notes, quizzes, gap reports, coaching sessions, workflow status) to build an evidence-backed learning status file.
Phase-by-phase readiness gating: Assigns learning status and readiness per the defined states, using evidence to avoid falsely claiming completion.
Guided next-step handoff: Produces a recommended next learning action and the most appropriate next DES skill based on what is missing or weak.

Quick Start

Use des-learning-status-update when you want the agent to scan your existing DES learning artifacts and update _des-output/learning-artifacts/des-learning-status.md with evidence-checked progress and the next recommended learning action.

Frequently Asked Questions about des-learning-status-update

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

FAQPage Schema

How do I track data engineering learning progress using evidence from quizzes and coaching?▼

Track data engineering learning progress by scanning learning notes, quizzes, gap reports, and coaching evidence to generate an evidence-backed learning status file. This prevents progress from getting out of sync with actual knowledge improvements across learning phases.

What is evidence-based learning status mapping for incremental knowledge sessions?▼

Evidence-based learning status mapping assigns readiness states by scanning phase artifacts like notes and gap reports. It prevents falsely claiming completion by requiring concrete proof of knowledge improvement before updating the workflow router on next actions.

How do I update learning status records to gate phase readiness by checking gap diagnosis reports?▼

Update learning status records by scanning gap diagnosis reports and coaching evidence to gate phase readiness. The process applies defined learning states to ensure the workflow router receives an evidence-based decision on recommended next learning actions.

Why does learning status tracking halt when missing a SOUL.md file or knowledge map?▼

Learning status tracking enforces HALT conditions when SOUL.md or the knowledge map is missing because these artifacts provide the foundational context required for evidence-backed status mapping. Without them, the system cannot safely verify quiz readiness or assign accurate learning states.

Can I use phase artifacts to determine quiz readiness and recommended next learning actions?▼

Yes, you can use phase artifacts to determine quiz readiness by scanning notes, quizzes, and coaching evidence. The process produces a learning status file containing readiness fields and a guided next-step handoff recommending the most appropriate DES skill.

What's the best way to prevent learning progress from getting out of sync with coaching evidence?▼

The best way to prevent learning progress sync issues is to run an evidence-driven tracking process that scans coaching sessions and workflow status. This builds an accurate learning status file, ensuring phase completion claims match verified coaching artifacts.