HubPublic
PackagePublished package

@pasar6987/sf-core-category-classification

Data category hierarchies, article classification, tag definitions, and metadata tagging that organize knowledge and records into navigable taxonomies.

Published package · Latest published 1.0.1 Mar 4, 2026 · 6 datasets / 1 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

6 datasets1 measures · 44 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

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

salesforcecrmcorecategory-classification

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-core-category-classification

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-core-category-classification")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-category-classification",
    datasets=["Article Type__DataCategorySelection", "CategoryData"],
    max_tokens=2000,
)

print(model.datasets)        # ["Article Type__DataCategorySelection", "CategoryData", "CategoryNode"]
print(model.measures)        # [Measure(name="CategoryNode.SortOrder", ...)]
print(model.dimensions)      # [Dimension(name="DataCategoryGroupName", ...), Dimension(name="DataCategoryName", ...), Dimension(name="ParentId", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

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

@pasar6987/sf-core-category-classification

Data category hierarchies, article classification, tag definitions, and metadata tagging that organize knowledge and records into navigable taxonomies.

Overview

Count
Objects (Datasets)6
Dimensions44
Measures1
Relationships2

Objects

  • Article Type__DataCategorySelection — A data category selection represents a data category that classifies an article.
  • CategoryData — Represents a logical grouping of Solution records.
  • CategoryNode — Represents a tree of Solution categories.
  • CategoryNodeLocalization — When the Translation Workbench is enabled for your organization, the CategoryNodeLocalization object provides the translation of the label of a solution category.
  • ObjectMetadataTag — Represents a meta tag for a store page. Meta tags in HTML documents provide structured data used by search engines for ranking and to show content in search results.
  • TagDefinition — Defines the attributes of child Tag objects.

Install

rawctx snapshot-download @pasar6987/sf-core-category-classification

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
datasets6
measures1
dimensions44
relationships2
AI context1
models/sf-core-category-classification.osi.yamlAI context included
6 datasets1 measures44 dimensions2 relationships