forcedotcom/sf-skills

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-ru…

All-time #2593 Trending #5791 First seen Jun 26, 2026
8-week activity · all time api

Installation

$ npx skills add forcedotcom/sf-skills --skill platform-data-manage

Summary

  • 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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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 972
License LICENSE.txt
Default branch main
Open issues 15
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.1
More metadata
cliTools
{"0":"tool: [\"jq\"]","semver":">=2.0.0","1":"tool: [\"python3\"]","2":"tool: [\"sf\"]"}
relatedSkills
["automation-flow-generate","platform-apex-generate","platform-apex-test-run","platform-custom-field-generate","platform-custom-object-generate","platform-metadata-deploy","platform-soql-query"]
version
1.1
domains
["Platform"]

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 10,862 B
  • docs README.md 4,569 B
  • docs SUMMARY.md 585 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 5,430 installs

SKILL.md

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:

  • writing SOQL only → [platform-soql-query](../platform-soql-query/SKILL.md)
  • running or repairing Apex tests → [platform-apex-test-run](../platform-apex-test-run/SKILL.md)
  • deploying metadata first → [platform-metadata-deploy](../platform-metadata-deploy/SKILL.md)
  • creating or modifying custom objects / fields → [platform-custom-object-generate](../platform-custom-object-generate/SKILL.md) or [platform-custom-field-generate](../platform-custom-field-generate/SKILL.md)

Important Mode Decision

Confirm which mode the user wants:

Mode Use when
Script generation they want reusable .apex, CSV, or JSON assets without touching an org yet
Remote execution they 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:

  • [platform-custom-object-generate](../platform-custom-object-generate/SKILL.md) or [platform-custom-field-generate](../platform-custom-field-generate/SKILL.md) to create the missing schema, then [platform-metadata-deploy](../platform-metadata-deploy/SKILL.md) to deploy it before retrying the data operation

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](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

Need Default approach
small one-off CRUD sf data single-record commands
large import/export Bulk API 2.0 via sf data ... bulk
parent-child seed set tree import/export
reusable test dataset factory / anonymous Apex script
reversible experiment cleanup 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

Error Likely cause Default fix direction
INVALID_FIELD wrong field API name or FLS issue verify schema and access
REQUIREDFIELDMISSING mandatory field omitted include required values from describe data
INVALIDCROSSREFERENCE_KEY bad parent ID create / verify parent first
FIELDCUSTOMVALIDATION_EXCEPTION validation rule blocked the record use valid test data or adjust setup
invalid picklist value guessed value instead of describe-backed value inspect picklist values first
non-writeable field error field is not createable / updateable remove it from the payload
bulk limits / timeouts wrong tool for the volume switch 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

Need Delegate to Reason
create missing custom objects [platform-custom-object-generate](../platform-custom-object-generate/SKILL.md) schema must exist before data operations
create missing custom fields [platform-custom-field-generate](../platform-custom-field-generate/SKILL.md) field-level schema must exist before data creation
run bulk-sensitive Apex validation [platform-apex-test-run](../platform-apex-test-run/SKILL.md) test execution and coverage
deploy missing schema first [platform-metadata-deploy](../platform-metadata-deploy/SKILL.md) metadata readiness
implement production Apex logic consuming the data [platform-apex-generate](../platform-apex-generate/SKILL.md) Apex class / trigger authoring
implement Flow logic consuming the data [automation-flow-generate](../automation-flow-generate/SKILL.md) Flow authoring and automation

Reference Map

Start here

  • [references/sf-cli-data-commands.md](references/sf-cli-data-commands.md)
  • [references/test-data-best-practices.md](references/test-data-best-practices.md)
  • [references/orchestration.md](references/orchestration.md)
  • [references/test-data-patterns.md](references/test-data-patterns.md)
  • [references/test-data-factory-usage.md](references/test-data-factory-usage.md)

Query / bulk / cleanup

  • [references/soql-relationship-guide.md](references/soql-relationship-guide.md)
  • [references/relationship-query-examples.md](references/relationship-query-examples.md)
  • [references/bulk-operations-guide.md](references/bulk-operations-guide.md)
  • [references/cleanup-rollback-guide.md](references/cleanup-rollback-guide.md)
  • [references/cleanup-rollback-example.md](references/cleanup-rollback-example.md)

Examples / limits

  • [references/crud-workflow-example.md](references/crud-workflow-example.md)
  • [references/bulk-testing-example.md](references/bulk-testing-example.md)
  • [references/anonymous-apex-guide.md](references/anonymous-apex-guide.md)
  • [references/governor-limits-reference.md](references/governor-limits-reference.md)

Validation scripts

  • [scripts/soqlvalidator.py](scripts/soqlvalidator.py) — validate SOQL queries before execution
  • [scripts/validatedataoperation.py](scripts/validatedataoperation.py) — pre-flight check for data operations (required fields, picklist values, createable fields)

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

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