HubPublic
Package control recordPublished package

@pasar6987/sf-education-engagement

Student success tools including involvement groups, mentoring, pulse checks, success teams, and waitlists.

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

Published package · Latest published 1.0.1 Mar 4, 2026 · 10 datasets / 6 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 datasets6 measures · 140 dimensions

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

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Tags

salesforcecrmeducationengagement

Schema preview

Schema 0.1.1

SDK handoff

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-education-engagement

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-education-engagement")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-education-engagement",
    datasets=["ConstituentRole", "ContactProfile"],
    max_tokens=2000,
)

print(model.datasets)        # ["ConstituentRole", "ContactProfile", "InvolvementGroup"]
print(model.measures)        # [Measure(name="InvolvementGroup.MaximumMemberCount", ...), Measure(name="PulseCheck.DaysOfWeek", ...), Measure(name="PulseCheck.ExpiryInDays", ...)]
print(model.dimensions)      # [Dimension(name="ContextRecordId", ...), Dimension(name="Description", ...), Dimension(name="EffectiveEndDate", ...)]
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-education-engagement

Student success tools including involvement groups, mentoring, pulse checks, success teams, and waitlists.

Overview

Count
Objects (Datasets)10
Dimensions140
Measures6
Relationships0

Objects

  • ConstituentRole — Contains information about roles associated with the individual.
  • ContactProfile — Represents information about an individual, such as their ethnicity, citizenship, birth place, race, and so on.
  • InvolvementGroup — Represents an involvement group in an institution.
  • InvolvementGroupMember — Represents a member in an institution's involvement group.
  • MentoringProfile — Represents information for a participant in a mentoring program.
  • PulseCheck — Represents the wellbeing of a learner based on a primary metric or criteria at a specific date and time.
  • PulseCheckTemplate — Represents a common template used to create Pulse Check records.
  • SuccessTeam — Records details about a success team in Salesforce Scheduler.
  • Waitlist — Represents a queue to which drop in customers who visit the branch without an already scheduled appointment are added.
  • WatchlistedLearner — Represents information for a learner that needs to be monitored for support.

Install

rawctx snapshot-download @pasar6987/sf-education-engagement

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
Measures6
Dimensions140
Relationships0
AI context1
models/sf-education-engagement.osi.yamlAI context included
10 datasets6 measures140 dimensions0 relationships

Open the full review to search datasets, fields, and package documents.

Open full review

Topology

Semantic graph

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Semantic Graph

Topology counts appear after the graph loads.

Loading graph

Semantic topology is still loading

Counts and graph nodes appear after the latest published summary has been fetched.