itinerary

Extract daily itinerary entries into a standardized JSON schema.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/JeffTermited/packgo-travel --skill itinerary-jefftermited
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: itinerary
Source: https://github.com/JeffTermited/packgo-travel/tree/main/server/agents/_subskills/itinerary
Command: npx skills add https://github.com/JeffTermited/packgo-travel --skill itinerary-jefftermited

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps travel planners convert scattered daily plans into a consistent, machine-friendly format, saving time and reducing errors in itinerary sharing.

Core Features & Use Cases

  • Extract daily entries, activities, meals, and accommodations from raw notes.
  • Convert content into a standardized JSON schema with days, sections, and metadata suitable for automation and client briefs.
  • Use cases include multi-day itinerary drafting, client-facing itineraries, and internal planning briefs that require clear structure and readability.

Quick Start

Provide raw itinerary notes and ask the AI to output a structured JSON following the specified schema.

Frequently Asked Questions about itinerary

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

FAQPage Schema
How do I convert raw travel notes into a structured JSON itinerary format?

To convert raw travel notes into a structured JSON itinerary, the Skill extracts daily entries, activities, meals, and accommodations from unstructured text and enforces standardized fields, naming, and validation rules to produce a consistent, machine-friendly output.

What is the best way to structure multi-day itinerary data for client briefs?

The best way to structure multi-day itinerary data for client briefs is to apply a standardized JSON schema with days, sections, and metadata, ensuring clear readability and complete schedules suitable for automation and direct client presentation.

How do I generate a standardized daily schedule from scattered trip planning inputs?

Generating a standardized daily schedule from scattered trip planning inputs involves parsing raw notes to extract daily activities and accommodations, then mapping that content into a consistent JSON format with enforced validation rules.

Can I use this itinerary data-processing approach for internal planning briefs that require clear structure?

Yes, you can use this itinerary data-processing approach for internal planning briefs. It converts scattered daily plans into a machine-friendly JSON format with standardized fields, saving time and reducing errors in itinerary sharing.

Does the structured JSON itinerary output support automation and content-quality validation?

Yes, the structured JSON itinerary output supports automation and content-quality validation by enforcing standardized fields, naming conventions, and validation rules to ensure the daily itinerary content is complete and consistently machine-readable.