PackagePublished package

@pasar6987/sf-automotive-service

Name: Semantic model package @pasar6987/sf-automotive-service
Creator: pasar6987

Service appointments, territories, resource skills, work types, and scheduling for automotive service centers.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 10 datasets / 30 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

10 datasets30 measures · 251 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: MIT
Created: Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Domain

crm

Source

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-automotive-service

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-automotive-service")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-automotive-service",
    datasets=["ServiceAppointment", "ServiceResourceSkill"],
    max_tokens=2000,
)

print(model.datasets)        # ["ServiceAppointment", "ServiceResourceSkill", "ServiceTerritory"]
print(model.measures)        # [Measure(name="ServiceAppointment.ActualDuration", ...), Measure(name="ServiceAppointment.Duration", ...), Measure(name="ServiceAppointment.Latitude", ...)]
print(model.dimensions)      # [Dimension(name="ActualEndTime", ...), Dimension(name="ActualStartTime", ...), Dimension(name="AdditionalInformation", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-automotive-service

Service appointments, territories, resource skills, work types, and scheduling for automotive service centers.

Overview

	Count
Objects (Datasets)	10
Dimensions	251
Measures	30
Relationships	8

Objects

ServiceAppointment — Represents an appointment to complete work for a customer in Field Service, Lightning Scheduler,Intelligent Appointment Management, and Virtual Care.
ServiceResourceSkill — Represents a skill that a service resource possesses in Field Service and Lightning Scheduler.
ServiceTerritory — Represents a geographic or functional region in which work can be performed in Field Service, Salesforce Scheduler, or Workforce Engagement.
ServiceTerritoryMember — Represents a service resource who can be assigned in a service territory in Field Service, Salesforce Scheduler, or Workforce Engagement.
Skill — Represents the settings for a skill used for field service or to route chats to agents in Chat, such as the name of the skill and which agents the skills are assigned to. This object is available in API version 65.0 and later.
SkillRequirement — Represents a skill that is required to complete a particular task in Field Service, Omni-Channel, Salesforce Scheduler, or Workforce Engagement. Skill requirements can be added to pending service routing objects in Omni-Channel. They can be added to work types, work orders, and work order line items in Field Service and Lightning Scheduler. And they can be added to job profiles in Workforce Engagement.
TimeSlot — Represents a period of time on a specified day of the week during which work can be performed in Field Service, Salesforce Scheduler, or Workforce Engagement. Operating hours consist of one or more time slots.
WorkType — Represents a type of work to be performed in Field Service and Lightning Scheduler. Work types are templates that can be applied to work order or work order line items.
WorkTypeGroup — Represents a grouping of work types used to categorize types of appointments available in Lightning Scheduler, or to define scheduling limits in Field Service.
WorkTypeGroupMember — Represents the relationship between a work type and the work type group it belongs to.

Install

rawctx snapshot-download @pasar6987/sf-automotive-service

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1

datasets10

measures30

dimensions251

relationships8

AI context1

models/sf-automotive-service.osi.yamlAI context included

10 datasets30 measures251 dimensions8 relationships