training-degree-lifecycle

Coordinate training plan changes with degree milestones across lifecycle stages.

Updated Apr 1, 2026

Search Tags:#workflow #integration #schema #training #lifecycle #approval #degree

Ready to run

npx skills add https://github.com/karonluo/pydtlms --skill training-degree-lifecycle

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Please help me install this Agent Skill.
Skill: training-degree-lifecycle
Source: https://github.com/karonluo/pydtlms/tree/main/backend/ai/skills/training-degree-lifecycle
Command: npx skills add https://github.com/karonluo/pydtlms --skill training-degree-lifecycle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams ensure training plans stay aligned with degree milestones by coordinating lifecycle rules across training and degree stages and ensuring cross-module data consistency.

Core Features & Use Cases

Align lifecycle transitions between training and degree modules when plans or requirements change.
Propagate schema and API contract updates to front-end and back-end components to keep data integrity across systems.

Quick Start

Provide a training or degree object with fields, approval steps, and the expected lifecycle behavior to validate end-to-end transitions.

Frequently Asked Questions about training-degree-lifecycle

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

FAQPage Schema

How do I align training plan changes with degree milestones to maintain lifecycle consistency?▼

To align training plans with degree milestones, you coordinate lifecycle rules across both modules to maintain consistency. This ensures correct status transitions for scientific reports, theses, and external study records when alterations occur.

What is the best way to propagate schema and API contract updates when lifecycle rules change?▼

Propagating schema and API contract updates involves validating and updating both front-end UI views and back-end components. This keeps cross-module data integrity intact when lifecycle rules governing degree workflows change.

How do I validate end-to-end status transitions for degree workflows and training plans?▼

Validating end-to-end status transitions requires providing a training or degree object with fields, approval steps, and expected lifecycle behavior. This tests cross-module data integrity across all degree workflows and reports.

Does coordinating training lifecycle rules require external dependencies to manage cross-module data?▼

Coordinating training lifecycle rules does not require external dependencies to manage cross-module data. The process applies internal schema validation and API contract updates to ensure front- and back-end alignment.

When should I not use automated lifecycle coordination for degree and training modules?▼

You should avoid automated lifecycle coordination when altering training plans or degree workflows without defined approval steps. Without expected lifecycle behavior and structured object fields, status transitions cannot be validated correctly.

Can I use this lifecycle coordination approach for scientific reports and external study records?▼

Yes, you can coordinate lifecycle rules for scientific reports and external study records alongside training plans and theses. Applying these rules ensures correct status transitions and cross-module data integrity across all related workflows.