HubPublic
PackagePublished package

@pasar6987/sf-metadata-workflow-automation

Declarative automation through flows, workflow rules, assignment rules, auto-response rules, and field updates.

Published package · Latest published 1.0.1 Mar 4, 2026 · 10 datasets / 3 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 datasets3 measures · 83 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

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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

salesforcecrmmetadataworkflow-automation

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-metadata-workflow-automation

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-metadata-workflow-automation")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-metadata-workflow-automation",
    datasets=["AssignmentRule", "AutoResponseRule"],
    max_tokens=2000,
)

print(model.datasets)        # ["AssignmentRule", "AutoResponseRule", "Flow"]
print(model.measures)        # [Measure(name="Flow.ApiVersion", ...), Measure(name="Flow.VersionNumber", ...), Measure(name="WorkflowOutboundMessage.ApiVersion", ...)]
print(model.dimensions)      # [Dimension(name="Id", ...), Dimension(name="Name", ...), Dimension(name="SobjectType", ...)]
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-metadata-workflow-automation

Declarative automation through flows, workflow rules, assignment rules, auto-response rules, and field updates.

Overview

Count
Objects (Datasets)10
Dimensions83
Measures3
Relationships0

Objects

  • AssignmentRule — Represents an assignment rule associated with a Case or Lead.
  • AutoResponseRule — Salesforce standard object
  • Flow — Salesforce standard object
  • FlowDefinition — Salesforce standard object
  • WorkflowAction — Represents WorkflowAction metadata component used in Salesforce deployments and package development.
  • WorkflowAlert — Represents a workflow alert. A workflow alert is an email generated by a workflow rule or approval process and sent to designated recipients.
  • WorkflowFieldUpdate — Represents a workflow field update.
  • WorkflowOutboundMessage — Represents an outbound message. An outbound message sends information to a designated endpoint, like an external service. Outbound messages are configured from Setup. You must configure the external endpoint and create a listener for the messages using the SOAP API.
  • WorkflowRule — Represents a workflow rule that is used to fire off a specific workflow action when the specified criteria is met. Includes access to the associated WorkflowRule object in Salesforce Metadata API.
  • WorkflowTask — Represents a workflow task that is used to fire off a specific workflow action when the specified criteria is met. Includes access to the associated WorkflowRule object in Salesforce Metadata API.

Install

rawctx snapshot-download @pasar6987/sf-metadata-workflow-automation

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
measures3
dimensions83
relationships0
AI context1
models/sf-metadata-workflow-automation.osi.yamlAI context included
10 datasets3 measures83 dimensions0 relationships