Generate Salesforce Flows using the MCP tool execute_metadata_action. Use when the user asks to create, build, or generate a flow — including Screen, Autolaunched, Record-Triggered (before/after-save), Scheduled. Also trigger for flow-like requests such as "when a record is created", "trigger daily at", "send an email when", "update the field when", "automate", "workflow", or "flow XML/metadata". This is the only skill for Salesforce Flow generation.
التثبيت
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Generate Salesforce Flows using the MCP tool execute_metadata_action. Use when the user asks to create, build, or generate a flow — including Screen, Autolaunched, Record-Triggered (before/after-save), Scheduled. Also trigger for flow-like requests such as "when a record is created", "trigger daily at", "send an email when", "update the field when", "automate", "workflow", or "flow XML/metadata". This is the only skill for Salesforce Flow generation.
metadata
{"version":"1.0"}
Goal
Generate Salesforce Flow metadata by running the required 3-step MCP pipeline (fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration) and return the flow XML.
When to Use This Skill
Use this skill when you need to:
Create any type of Flow (Screen, Autolaunched, Record-Triggered, Scheduled)
Generate Flow metadata XML
Automate business processes without code
Build user-guided workflows or background automation
Troubleshoot deployment errors related to Flows
Specification
Flow Metadata Specification
Overview
Salesforce Flows are powerful automation tools that enable complex business process automation without code. Flows can collect and process data through interactive screens, execute logic and calculations, manipulate records, call external services, and trigger based on various events. Flow types include Screen Flows (user-guided), Autolaunched Flows (background processing), Record-Triggered Flows (database events) and Scheduled Flows (time-based).
Purpose
Automate complex business processes with declarative logic and branching
Guide users through multi-step data collection and decision workflows via Screen Flows
Perform CRUD operations on Salesforce records automatically
Execute background processing and integrations via Autolaunched Flows
React to record changes in real-time with Record-Triggered Flows
Schedule recurring tasks and batch operations with Scheduled Flows
Create reusable, maintainable automation that admins can modify without code
Flow Generation Pipeline
MANDATORY: You MUST follow this exact 3-step pipeline. No exceptions. No shortcuts. No skipping steps. Do NOT manually create flow metadata XML or attempt to generate flow metadata outside of this pipeline. Do NOT attempt to use any other tool, API, or method to generate flow metadata. This pipeline is the ONLY supported way to generate flows. Any deviation will produce invalid or broken metadata.
MCP Connection Details
All 3 pipeline steps MUST be called using this MCP tool:
MCP Tool Name:execute_metadata_action
The action parameter selects which pipeline step to run: "fetchGroundedObjectMetadata", "flowElementSelection", or "flowElementGeneration"
Flow generation is a strict 3-step pipeline. ALL steps must be called in order. Every step is required. There is no alternative approach — this is the only way to generate flow metadata:
Fetches org schema metadata relevant to the flow generation request. This step is mandatory and must always be called first.
Inputs (all required):
userPrompt (STRING, REQUIRED): The user's natural language request
inflightMetadata (ARRAY, REQUIRED): Custom objects/fields from local sfdx project. Use empty array [] if none needed.
Outputs:
groundingMetadata (STRING): Grounded object metadata for org schema relevant to the request, returned as a JSON string. You must pass this directly to Step 2 — it is already a string and does not need to be serialized again.
Step 2 (REQUIRED): Flow Element Selection (flowElementSelection)
Selects flow elements (assignments, decisions, record ops, etc.) and their connections based on the user prompt and grounded metadata. This step is mandatory and must be called after Step 1.
Inputs (all required):
userPrompt (STRING, REQUIRED): The user's natural language request (must be the same value as Step 1)
groundingMetadata (STRING, REQUIRED): Org schema metadata (must be the exact string returned from Step 1 output — pass it directly, do NOT serialize it again)
operationId (STRING, REQUIRED): Operation ID (use empty string "" for first call)
Outputs:
operationId (STRING): Operation ID. You must pass this to Step 3.
userOutput (STRING): Reasoning for next steps. You can show this to the user.
Step 3 (REQUIRED): Flow Element Generation (flowElementGeneration)
Generates flow metadata element by element. This step is mandatory and must be called after Step 2. Must be called repeatedly in a loop until isComplete is true.
Inputs (all required):
operationId (STRING, REQUIRED): Operation ID from Step 2 output
requestSource (STRING, REQUIRED): The source of the request. Use "A4V" to get flow metadata in XML format.
Outputs:
isComplete (BOOLEAN): Indicates if the flow generation is complete. You must check this value.
result (STRING): Result of the flow element generation. Contains the final flow metadata only when isComplete is true.
MANDATORY: Loop until complete. NEVER pause or ask the user to confirm continuation.
A flow can have any number of elements (10, 15, or more). Each call generates one element at a time, so you may need many iterations. This is expected and normal.
Call flowElementGeneration with the operationId from Step 2 and requestSource (use "A4V" for XML output, empty string or other value for JSON).
Check the isComplete output and the result field after each call.
If isComplete is falseand no errors are returned, you MUST call flowElementGeneration again with the same operationId from Step 2. Do NOT ask the user if they want to continue. Do NOT pause. Do NOT summarize progress mid-loop. Just keep calling.
Do NOT stop until isComplete is trueor the invocable action returns errors. There is no maximum number of iterations — keep going regardless of how many calls it takes.
When isComplete is true, extract the flow metadata from the result field.
If errors are returned, stop the loop and surface the error to the user.
STRICT CONSTRAINTS (CRITICAL) — These rules apply to the XML returned by the generation pipeline:
DO NOT modify the content, values, or child nodes inside any block.
DO NOT add new nodes, tags, attributes, or text (do not add missing labels, X/Y coordinates, etc.).
DO NOT remove any existing nodes.
inflightMetadata Format
DATA TYPE: ARRAY (not string)
STRICT NAMING CONVENTION - MUST FOLLOW EXACTLY:
Property
Correct Name
Do NOT Use
Object API name
apiName
objectApiName, name, objectName
Field API name
apiName
fieldApiName, name, fieldName
Field type
type
fieldType, dataType
Lookup target
referenceTo
relatedTo, lookupTo, reference
When custom objects are needed (sample format showing multiple field data types):
MANDATORY Decision Logic for inflightMetadata (DATA TYPE: ARRAY)
REQUIRED - First: Scan the local sfdx project for custom objects and fields that are relevant to the user's flow request.
If relevant custom objects ARE found: You MUST extract and pass them as an array of structured objects (see format above)
If NO relevant custom objects found: You MUST pass an empty array [] (NOT the string "[]")
NEVER: Pass text descriptions, instructions, or string representations in inflightMetadata
MANDATORY: The data type MUST be ARRAY, not STRING
Instructions for Vibes when custom objects ARE relevant:
Extract the object metadata and map to JSON properties:
apiName: The object's API name (with __c suffix for custom objects)
label: The object's display label
type: Set to "CustomObject"
fields: Array of field objects, each containing:
apiName: The field's API name (with __c suffix for custom fields)
type: The field type (Text, Number, Picklist, Lookup, etc.)
label: The field's display label
values: (Picklist only) Array of picklist values
referenceTo: (Lookup only) The target object API name
Include only objects and fields that are relevant to the flow being generated
🎯 Mandatory Enhancement Rules
userPrompt: REQUIRED.
If the user requests a single flow: use the user's prompt as-is.
If the user requests multiple flows: you MUST split the request and write a separate, focused userPrompt for each individual flow. Each userPrompt must describe only ONE flow. Do NOT pass the entire multi-flow request as a single userPrompt. See the multiple flows section below for examples.
inflightMetadata: REQUIRED. Always use ARRAY data type.
MUST use [] (empty array) when no custom objects needed
MUST use structured array of objects when custom objects are relevant
NEVER use string "[]" - this is incorrect
NEVER use text descriptions - only structured object metadata
MANDATORY: Multiple Flows = Multiple Separate Pipelines
FIRST: Before calling any pipeline step, check if the user's request contains multiple flows. If it does, you MUST split it into separate single-flow prompts. Each flow gets its own 3-step pipeline with its own userPrompt that describes ONLY that one flow.
NEVER pass a multi-flow request as a single userPrompt field. NEVER club multiple flow descriptions into one userPrompt.
When the user requests multiple flows (e.g., "Create flows for my app: 1) ... 2) ... 3) ..."), you MUST:
Split the request into separate individual flow descriptions.
Run a separate 3-step pipeline for each flow, using a userPrompt that describes ONLY that one flow.
Execute ALL pipelines SEQUENTIALLY — one after another, NEVER in parallel. Do NOT stop after the first flow. Do NOT wait for the user to ask you to continue. Do NOT summarize and stop. Keep going until every requested flow has been fully generated.
WRONG - Multiple flows clubbed into one userPrompt:
{"userPrompt":"Create flows for the app: 1) Record-Triggered Flow on ResourceAllocation__c to update Resource__c. 2) Screen Flow to allocate resources. 3) Record-Triggered Flow on Supply__c to auto-flag Low_Stock__c.",
...
}
CORRECT - Separate call for EACH flow:
Flow 1 - Step 1 (fetchGroundedObjectMetadata):
{"userPrompt":"Create a Screen Flow named Tenant_Onboarding that captures tenant details, selects a Unit__c with Status__c = 'Vacant', creates Lease__c...","inflightMetadata":[...]}
Then call Step 2 (flowElementSelection) with the groundingMetadata from Step 1, then Step 3 (flowElementGeneration) with the operationId from Step 2.
Flow 2 - Step 1 (fetchGroundedObjectMetadata):
{"userPrompt":"Create an Autolaunched Flow named Generate_Onboarding_Checklist that given a Lease__c Id input, queries OnboardingTask__c...","inflightMetadata":[...]}
Then call Step 2 and Step 3 for this flow.
Flow 3 - Step 1 (fetchGroundedObjectMetadata):
{"userPrompt":"Create a Record-Triggered Flow named Sync_Unit_On_Lease_Changes that on insert and update of Lease__c...","inflightMetadata":[...]}
Then call Step 2 and Step 3 for this flow.
Mandatory Rules:
If there are N flows to generate, there MUST be N separate 3-step pipelines and ALL N pipelines MUST be executed. No exceptions. Do NOT stop after generating only one flow.
You MUST fully complete the current flow's 3-step pipeline (including looping Step 3 until isComplete is true or errors are returned) BEFORE starting the next flow's pipeline. Do NOT interleave or parallelize pipelines across flows. Everything is SEQUENTIAL — NEVER parallel.
After completing a flow's pipeline, immediately start the next flow's pipeline. Do NOT pause, summarize, or wait for user confirmation between flows.
For each flow, you MUST scan the local sfdx project to populate inflightMetadata with custom objects/fields specific to that flow prompt.
Each flow pipeline MUST have its own inflightMetadata containing only the objects/fields relevant to that particular flow.
Example Tool Calls
Example 1: Standard objects only (no custom objects)
Step 1 - fetchGroundedObjectMetadata:
{"userPrompt":"Create a scheduled-triggered Flow named Daily_Good_Morning that runs daily at 6:00 AM and sends an email to the running user saying good morning.","inflightMetadata":[]}
Step 2 - flowElementSelection:
{"userPrompt":"Create a scheduled-triggered Flow named Daily_Good_Morning that runs daily at 6:00 AM and sends an email to the running user saying good morning.","groundingMetadata":"<groundingMetadata string from Step 1 — pass directly, do not serialize again>","operationId":""}
Step 3 - flowElementGeneration (call in a loop):
{"operationId":"<operationId from Step 2>","requestSource":"A4V"}
Call repeatedly with the same operationId until isComplete is true or errors are returned. A flow can have any number of elements, so expect multiple iterations. When isComplete is true, extract the flow metadata from the result field. Use "requestSource": "A4V" to get flow metadata in XML format.
Example 2: With custom objects from local sfdx project
Step 1 - fetchGroundedObjectMetadata:
{"userPrompt":"Create a flow that updates the status of a Customer Request when it's assigned","inflightMetadata":[{"type":"CustomObject","apiName":"CustomerRequest__c","label":"Customer Request","fields":[{"apiName":"Status__c","type":"Picklist","label":"Status","values":["New","In Progress","Completed"]},{"apiName":"AssignedTo__c","type":"Lookup","label":"Assigned To","referenceTo":"User"}],"relationships":[]}]}
Step 2 - flowElementSelection:
{"userPrompt":"Create a flow that updates the status of a Customer Request when it's assigned","groundingMetadata":"<groundingMetadata string from Step 1 — pass directly, do not serialize again>","operationId":""}
Step 3 - flowElementGeneration (call in a loop):
{"operationId":"<operationId from Step 2>","requestSource":"A4V"}
Call repeatedly with the same operationId until isComplete is true or errors are returned. A flow can have any number of elements, so expect multiple iterations. When isComplete is true, extract the flow metadata from the result field. Use "requestSource": "A4V" to get flow metadata in XML format.
Mandatory Best Practices
ALWAYS follow the 3-step pipeline: fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration. This is the ONLY way to generate flow metadata. There are no alternatives.
Do NOT manually create flow metadata XML, JSON, or any other format outside of this pipeline.
When the user explicitly requests fixes to validation or deployment errors in an already-generated flow XML, you ARE permitted to make targeted manual edits to the XML to resolve those errors. This is the only exception to the "no manual metadata" rule.
Do NOT attempt to "optimize" by skipping steps or combining steps. Each step is atomic and required.
NEVER skip any step in the pipeline. All 3 steps are required.
NEVER try to generate flow metadata without calling all 3 steps.
NEVER deviate from this pipeline under any circumstance — even if you think you know the flow structure.
For single flow requests: you MUST use the user prompt as userPrompt.
For multiple flow requests: you MUST run a separate 3-step pipeline for each flow SEQUENTIALLY (one after another, NEVER in parallel), and you MUST execute ALL of them — do NOT stop after the first flow.
You MUST put flow requirements in userPrompt, NOT in inflightMetadata.
inflightMetadata is ONLY for custom object/field metadata from local project (see above). No exceptions.
Step 3 MUST be called in a loop with the same operationId from Step 2 until isComplete is true or errors are returned. A flow can have any number of elements — do NOT stop early, do NOT pause to ask the user if they want to continue, regardless of how many iterations it takes.
You MUST only extract the flow metadata from the result field when isComplete is true.
CRITICAL Verification Checklist (MUST VERIFY BEFORE AND AFTER EVERY FLOW GENERATION)
Failure to follow this checklist exactly will result in broken or missing flow metadata.
Pipeline: ALL 3 steps are called in strict order (fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration). No step is skipped.
No manual metadata: Flow metadata is NOT manually created, modified, or generated outside of this pipeline by any means
No deviation: No alternative tools, APIs, or methods were used instead of or alongside this pipeline
userPrompt contains a single flow prompt. If user requested multiple flows, the request was split and each pipeline received a separate userPrompt describing only one flow
userPrompt is passed consistently to both Step 1 and Step 2 (same value)
inflightMetadata is ARRAY data type (NOT string)
inflightMetadata is [] when no custom objects needed
inflightMetadata contains structured objects extracted by scanning the local sfdx project for relevant custom objects/fields
inflightMetadata does NOT contain "[]" (string) - must be [] (array)
inflightMetadata does NOT contain text descriptions or instructions
groundingMetadata from Step 1 output is passed directly to Step 2 input (it is already a string — do NOT serialize it again)
operationId from Step 2 output is passed to Step 3 input
requestSource should be set to "A4V" always
Step 3 is called in a loop with the same operationId from Step 2 until isComplete is true or errors are returned — no pausing, no asking the user to continue, no matter how many iterations
Multi-flow: Each flow's full pipeline is completed before starting the next flow's pipeline (no interleaving)
result field is used to extract the XML flow metadata only when isComplete is true
No additions to XML: NO elements, attributes, or properties were added that were not present in the original pipeline output. Nothing was inserted (no <label>, <description>, or any other node). The final XML must be identical to what the pipeline returned.
Error fix exception: If the user explicitly requested fixes to validation/deployment errors, targeted manual edits to the XML are permitted and the "No additions to XML" / "No manual metadata" constraints do not apply to those edits.
