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Platform Data Manage

platform-data-manage

Salesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use platform-soql-query), Apex test execution (use platform-apex-test-run), or metadata deployment (use platform-metadata-deploy).

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SKILL.md

Full skill instructions

Salesforce Data Operations Expert (platform-data-manage)

Use this skill when the user needs Salesforce data work: record CRUD, bulk import/​export, test data generation, cleanup scripts, or data factory patterns for validating Apex, Flow, or integration behavior.

When This Skill Owns the Task

Use platform-data-manage when the work involves:

  • sf data CLI commands
  • record creation, update, delete, upsert, export, or tree import/​export
  • realistic test data generation
  • bulk data operations and cleanup
  • Apex anonymous scripts for data seeding / rollback

Delegate elsewhere when the user is:


Important Mode Decision

Confirm which mode the user wants:

ModeUse when
Script generationthey want reusable .apex, CSV, or JSON assets without touching an org yet
Remote executionthey want records created / changed in a real org now

Do not assume remote execution if the user may only want scripts.


Required Context to Gather First

Ask for or infer:

  • target object(s)
  • org alias, if remote execution is required
  • operation type: query, create, update, delete, upsert, import, export, cleanup
  • expected volume
  • whether this is test data, migration data, or one-off troubleshooting data
  • any parent-child relationships that must exist first

Core Operating Rules

  • platform-data-manage acts on remote org data unless the user explicitly wants local script generation.
  • Objects and fields must already exist before data creation.
  • For automation testing, prefer 251+ records when bulk behavior matters.
  • Plan cleanup before creating large or noisy datasets — untracked records accumulate across runs and pollute org state.
  • Use synthetic, non-identifying data in test records — real PII creates compliance risk and cannot be safely removed after bulk import.
  • Prefer CLI-first for straightforward CRUD; use anonymous Apex when the operation truly needs server-side orchestration.

If metadata is missing, stop and hand off to:


Recommended Workflow

1. Verify prerequisites

Confirm object / field availability, org auth, and required parent records.

2. Run describe-first pre-flight validation when schema is uncertain

Before creating or updating records, use object describe data to validate:

  • required fields
  • createable vs non-createable fields
  • picklist values
  • relationship fields and parent requirements

See references/​sf-cli-data-commands.md for the sf sobject describe command and jq filter patterns for inspecting fields, picklist values, and createable constraints.

3. Choose the smallest correct mechanism

NeedDefault approach
small one-off CRUDsf data single-record commands
large import/​exportBulk API 2.0 via sf data ... bulk
parent-child seed settree import/​export
reusable test datasetfactory / anonymous Apex script
reversible experimentcleanup script or savepoint-based approach

4. Execute or generate assets

Use the built-in templates under assets/ when they fit:

  • assets/​factories/
  • assets/​bulk/
  • assets/​cleanup/
  • assets/​soql/
  • assets/​csv/
  • assets/​json/

5. Verify results

Check counts, relationships, and record IDs after creation or update.

6. Apply a bounded retry strategy

If creation fails:

  1. try the primary CLI shape once
  2. retry once with corrected parameters
  3. re-run describe / validate assumptions
  4. pivot to a different mechanism or provide a manual workaround

Do not repeat the same failing command indefinitely.

7. Leave cleanup guidance

Provide exact cleanup commands or rollback assets whenever data was created.


High-Signal Rules

Bulk safety

  • use bulk operations for large volumes
  • test automation-sensitive behavior with 251+ records where appropriate
  • avoid one-record-at-a-time patterns for bulk scenarios

Data integrity

  • include required fields
  • validate picklist values before creation
  • verify parent IDs and relationship integrity
  • account for validation rules and duplicate constraints
  • exclude non-createable fields from input payloads

Cleanup discipline

Prefer one of:

  • delete-by-ID
  • delete-by-pattern
  • delete-by-created-date window
  • rollback / savepoint patterns for script-based test runs

Common Failure Patterns

ErrorLikely causeDefault fix direction
INVALID_FIELDwrong field API name or FLS issueverify schema and access
REQUIRED_FIELD_MISSINGmandatory field omittedinclude required values from describe data
INVALID_CROSS_REFERENCE_KEYbad parent IDcreate / verify parent first
FIELD_CUSTOM_VALIDATION_EXCEPTIONvalidation rule blocked the recorduse valid test data or adjust setup
invalid picklist valueguessed value instead of describe-backed valueinspect picklist values first
non-writeable field errorfield is not createable / updateableremove it from the payload
bulk limits / timeoutswrong tool for the volumeswitch to bulk / staged import

Output Format

When finishing, report in this order:

  1. Operation performed
  2. Objects and counts
  3. Target org or local artifact path
  4. Record IDs / output files
  5. Verification result
  6. Cleanup instructions

Suggested shape:

Data operation: <create / update / delete / export / seed>
Objects: <object + counts>
Target: <org alias or local path>
Artifacts: <record ids / csv / apex / json files>
Verification: <passed / partial / failed>
Cleanup: <exact delete or rollback guidance>

Cross-Skill Integration

NeedDelegate toReason
create missing custom objectsplatform-custom-object-generateschema must exist before data operations
create missing custom fieldsplatform-custom-field-generatefield-level schema must exist before data creation
run bulk-sensitive Apex validationplatform-apex-test-runtest execution and coverage
deploy missing schema firstplatform-metadata-deploymetadata readiness
implement production Apex logic consuming the dataplatform-apex-generateApex class / trigger authoring
implement Flow logic consuming the dataautomation-flow-generateFlow authoring and automation

Reference Map

Start here

Query / bulk / cleanup

Examples / limits

Validation scripts

Asset templates

  • assets/​factories/ — Apex test data factory scripts (account, contact, opportunity, lead, user, etc.)
  • assets/​bulk/ — Bulk API 2.0 Apex templates (insert 200, 500, 10000 records; upsert by external ID)
  • assets/​cleanup/ — Cleanup and rollback scripts (delete by name, date, pattern; transaction rollback)
  • assets/​soql/ — SOQL query templates (aggregate, subquery, parent-to-child, child-to-parent, polymorphic)
  • assets/​csv/ — CSV import templates for Account, Contact, Opportunity, custom objects
  • assets/​json/ — JSON tree import templates (account-contact, account-opportunity, full hierarchy)

Score Guide

ScoreMeaning
117+strong production-safe data workflow
104–116good operation with minor improvements possible
91–103acceptable but review advised
78–90partial / risky patterns present
< 78blocked until corrected

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