schedule-continuity-workflow

Coordinate schedule updates across erify_api, erify_studios, and Google Sheets.

1|Updated Jan 2, 2025
One-click install
npx skills add https://github.com/allenlin90/eridu-services --skill schedule-continuity-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schedule-continuity-workflow
Source: https://github.com/allenlin90/eridu-services/tree/main/.agent/skills/schedule-continuity-workflow
Command: npx skills add https://github.com/allenlin90/eridu-services --skill schedule-continuity-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Schedule continuity across multiple systems (erify_api, erify_studios, Google Sheets) to prevent gaps when publishing schedule changes.

Core Features & Use Cases

  • Orchestrates update -> validate -> publish flow across API, frontend, and planning scripts.
  • Maintains identity and task continuity for shows, including handling removed, cancelled_pending_resolution, and reappearing items.
  • Provides audit-ready metadata and cross-system alignment to support governance.

Quick Start

Initiate a schedule continuity review against the latest publish cycle.

Frequently Asked Questions about schedule-continuity-workflow

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

FAQPage Schema
How do I maintain schedule continuity across API and Google Sheets integrations?

Schedule continuity is maintained by coordinating the update, validate, and publish cycle across erify_api, erify_studios, and Google Sheets to apply deterministic diff and upsert behavior. This prevents gaps when publishing schedule changes.

How do I handle cancelled and reappearing shows during a schedule update workflow?

Handling cancelled and reappearing shows is managed by tracking identity and task continuity through states like removed and cancelled_pending_resolution. This ensures cross-system alignment by client_id and external_id during updates.

What is the best way to ensure cross-system consistency for schedule updates?

Cross-system consistency is ensured by orchestrating the update, validate, and publish flow across API, frontend, and planning scripts. It applies deterministic diff and upsert behavior aligned by client_id and external_id.

How do I generate audit-ready metadata for schedule policy checks?

Audit-ready metadata for schedule policy checks is generated by recording reasons and resolutions during the update cycle. This supports governance by tracking pending resolutions and cross-system alignment.

Why do schedule gaps occur when publishing changes across multiple systems?

Schedule gaps occur when publishing changes across erify_api, erify_studios, and Google Sheets without a coordinated workflow. The schedule continuity workflow prevents this by enforcing deterministic diff and upsert behavior.

Can I use this workflow to validate schedule changes before publishing to Google Sheets?

Yes, you can validate schedule changes before publishing by applying the update, validate, and publish cycle. This orchestrates checks across API, frontend, and planning scripts to ensure continuity before final publication.