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github/salesforce-flow-design

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salesforce-flow-design

Salesforce Flow architecture decisions, flow type selection, bulk safety validation, and fault handling standards. Use this skill when designing or reviewing Record-Triggered, Screen, Autolaunched, Scheduled, or Platform Event flows to ensure correct type selection, no DML/Get Records in loops, proper fault connectors on all data-changing elements, and appropriate automation density checks before deployment.

v1.0Latest
New~1.7kUpdated Jun 26, 2026

Salesforce Flow Design and Validation

Apply these checks to every Flow you design, build, or review.

Step 1 — Confirm Flow Is the Right Tool

Before designing a Flow, verify that a lighter-weight declarative option cannot solve the problem:

Requirement Best tool
Calculate a field value with no side effects Formula field
Prevent a bad record save with a user message Validation rule
Sum or count child records on a parent Roll-up Summary field
Complex multi-object logic, callouts, or high volume Apex (Queueable / Batch) — not Flow
Everything else Flow ✓

If you are building a Flow that could be replaced by a formula field or validation rule, ask the user to confirm the requirement is genuinely more complex.

Step 2 — Select the Correct Flow Type

Use case Flow type Key constraint
Update a field on the same record before it is saved Before-save Record-Triggered Cannot send emails, make callouts, or change related records
Create/update related records, emails, callouts After-save Record-Triggered Runs after commit — avoid recursion traps
Guide a user through a multi-step UI process Screen Flow Cannot be triggered by a record event automatically
Reusable background logic called from another Flow Autolaunched (Subflow) Input/output variables define the contract
Logic invoked from Apex @InvocableMethod Autolaunched (Invocable) Must declare input/output variables
Time-based batch processing Scheduled Flow Runs in batch context — respect governor limits
Respond to events (Platform Events / CDC) Platform Event–Triggered Runs asynchronously — eventual consistency

Decision rule: choose before-save when you only need to change the triggering record's own fields. Move to after-save the moment you need to touch related records, send emails, or make callouts.

Step 3 — Bulk Safety Checklist

These patterns are governor limit failures at scale. Check for all of them before the Flow is activated.

DML in Loops — Automatic Fail

Loop element
  └── Create Records / Update Records / Delete Records  ← ❌ DML inside loop

Fix: collect records inside the loop into a collection variable, then run the DML element outside the loop.

Get Records in Loops — Automatic Fail

Loop element
  └── Get Records  ← ❌ SOQL inside loop

Fix: perform the Get Records query before the loop, then loop over the collection variable.

Correct Bulk Pattern

Get Records — collect all records in one query
└── Loop over the collection variable
    └── Decision / Assignment (no DML, no Get Records)
└── After the loop: Create/Update/Delete Records — one DML operation

Transform vs Loop

When the goal is reshaping a collection (e.g. mapping field values from one object to another), use the Transform element instead of a Loop + Assignment pattern. Transform is bulk-safe by design and produces cleaner Flow graphs.

Step 4 — Fault Path Requirements

Every element that can fail at runtime must have a fault connector. Flows without fault paths surface raw system errors to users.

Elements That Require Fault Connectors

  • Create Records
  • Update Records
  • Delete Records
  • Get Records (when accessing a required record that might not exist)
  • Send Email
  • HTTP Callout / External Service action
  • Apex action (invocable)
  • Subflow (if the subflow can throw a fault)

Fault Handler Pattern

Fault connector → Log Error (Create Records on a logging object or fire a Platform Event)
               → Screen element with user-friendly message (Screen Flows)
               → Stop / End element (Record-Triggered Flows)

Never connect a fault path back to the same element that faulted — this creates an infinite loop.

Step 5 — Automation Density Check

Before deploying, verify there are no overlapping automations on the same object and trigger event:

  • Other active Record-Triggered Flows on the same Object + When to Run combination
  • Legacy Process Builder rules still active on the same object
  • Workflow Rules that fire on the same field changes
  • Apex triggers that also run on the same before insert / after update context

Overlapping automations can cause unexpected ordering, recursion, and governor limit failures. Document the automation inventory for the object before activating.

Step 6 — Screen Flow UX Guidelines

  • Every path through a Screen Flow must reach an End element — no orphan branches.
  • Provide a Back navigation option on multi-step flows unless back-navigation would corrupt data.
  • Use lightning-input and SLDS-compliant components for all user inputs — do not use HTML form elements.
  • Validate required inputs on the screen before the user can advance — use Flow validation rules on the screen.
  • Handle the Pause element if the flow may need to await user action across sessions.

Step 7 — Deployment Safety

Deploy as Draft    →   Test with 1 record   →   Test with 200+ records   →   Activate
  • Always deploy as Draft first and test thoroughly before activation.
  • For Record-Triggered Flows: test with the exact entry conditions (e.g. ISCHANGED(Status) — ensure the test data actually triggers the condition).
  • For Scheduled Flows: test with a small batch in a sandbox before enabling in production.
  • Check the Automation Density score for the object — more than 3 active automations on a single object increases order-of-execution risk.

Quick Reference — Flow Anti-Patterns Summary

Anti-pattern Risk Fix
DML element inside a Loop Governor limit exception Move DML outside the loop
Get Records inside a Loop SOQL governor limit exception Query before the loop
No fault connector on DML/email/callout element Unhandled exception surfaced to user Add fault path to every such element
Updating the triggering record in an after-save flow with no recursion guard Infinite trigger loops Add an entry condition or recursion guard variable
Looping directly on $Record collection Incorrect behaviour at scale Assign to a collection variable first, then loop
Process Builder still active alongside a new Flow Double-execution, unexpected ordering Deactivate Process Builder before activating the Flow
Screen Flow with no End element on all branches Runtime error or stuck user Ensure every branch resolves to an End element
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Overall Score

88/100

Grade

A

Excellent

Safety

95

Quality

85

Clarity

88

Completeness

78

Summary

This skill provides comprehensive Salesforce Flow design and validation guidance, covering flow type selection, bulk safety patterns, fault handling, and deployment safety. It teaches agents to identify anti-patterns (DML/SOQL in loops, missing fault connectors), select appropriate flow types for use cases, and validate automation density before activation.

Detected Capabilities

flow design guidancearchitecture pattern validationanti-pattern detectionbest practice recommendationsdeployment checklistgovernor limit analysis

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

design record-triggered flowflow type selectionbulk safe patternssalesforce flow reviewfault handler validationgovernor limit checkautomation density audit

Use Cases

  • Design Record-Triggered Flows with correct before/after-save selection
  • Validate bulk safety patterns and prevent governor limit failures
  • Review Flow architecture for missing fault connectors
  • Select appropriate Flow type (Screen, Autolaunched, Scheduled, Platform Event)
  • Audit automation density and detect overlapping automations on an object
  • Design Screen Flow UX with proper navigation and validation patterns
  • Plan deployment strategy with progressive testing from draft to production

Quality Notes

  • Clear decision tables for flow type selection with key constraints documented
  • Specific anti-pattern examples with visual flow diagrams showing correct vs incorrect patterns
  • Comprehensive fault handler requirements with guidance on when fault connectors are required
  • Bulk safety checklist provides concrete fixes (move DML outside loop, query before loop)
  • Deployment safety section includes progressive testing strategy and automation density awareness
  • Screen Flow UX guidelines cover accessibility (SLDS compliance) and data integrity concerns
  • Step 1 correctly identifies when NOT to use Flow (formula fields, validation rules, Apex for high volume)
  • All guidance is declarative and read-only — no execution, no file writes, no credential access
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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