platform-data-manage
/platform-data-manage
Obsługuje dane w orgu Salesforce przez sf CLI i anonimowy Apex: tworzy, aktualizuje, usuwa, importuje i eksportuje rekordy oraz generuje dane testowe.
- Autor
- forcedotcom ↗
- Repozytorium
- sf-skills ↗
- Licencja
- Apache-2.0
- Ostatnia zmiana repozytorium
- 23.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 48
- Skrypty
- 2
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 0
Brak sygnałów. Repozytorium zmienione 23.10.2026, bez odwołań do wycofanych modeli i API.
Apache-2.0, otwarta: można używać i zmieniać, z zachowaniem licencji i informacji o zmianach.
- 2 skrypty w paczce. Przejrzyj je przed instalacją, bo Claude może je uruchomić.
Skrypty: scripts/soql_validator.py, scripts/validate_data_operation.py
Co robi i kiedy
Obsługuje dane w orgu Salesforce przez sf CLI i anonimowy Apex: tworzy, aktualizuje, usuwa, importuje i eksportuje rekordy oraz generuje dane testowe.
Oryginalny opis (EN)
Salesforce data operations with 130-point scoring. Use to create, update, delete, bulk import/export, generate test data, and clean up org records via sf CLI and anonymous Apex. TRIGGER on creating test data, bulk import/export, sf data CLI commands, data-factory patterns for Apex tests, or seeding/cleaning org records. DO NOT TRIGGER for SOQL query writing only (use platform-soql-query), Apex test execution (use platform-apex-test-run), or metadata deployment (use platform-metadata-deploy).
Jak działa
- When This Skill Owns the Task
- Important Mode Decision
- Required Context to Gather First
- Core Operating Rules
- Recommended Workflow
- High-Signal Rules
- Common Failure Patterns
- Output Format
- Cross-Skill Integration
- Reference Map
Podgląd SKILL.md
---
name: platform-data-manage
description: "Salesforce data operations with 130-point scoring. Use to create, update, delete, bulk import/export, generate test data, and clean up org records via sf CLI and anonymous Apex. TRIGGER on creating test data, bulk import/export, sf data CLI commands, data-factory patterns for Apex tests, or seeding/cleaning org records. DO NOT TRIGGER for SOQL query writing only (use platform-soql-query), Apex test execution (use platform-apex-test-run), or metadata deployment (use platform-metadata-deploy)."
metadata:
version: "1.1"
domains: ["Platform"]
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"
cliTools:
- tool: ["sf"]
semver: ">=2.0.0"
- tool: ["jq"]
semver: ">=1.6.0"
- tool: ["python3"]
semver: ">=3.8.0"
---
# 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 |
| `REQUIRED_FIELD_MISSING` | mandatory field omitted | include required values from describe data |
| `INVALID_CROSS_REFERENCE_KEY` | bad parent ID | create / verify parent first |
| `FIELD_CUSTOM_VALIDATION_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:
```text
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/soql_validator.py](scripts/soql_validator.py) — validate SOQL queries before execution
- [scripts/validate_data_operation.py](scripts/validate_data_operation.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 |
Pliki w paczce (48)
- README.md 4 KB
- SKILL.md 11 KB
- assets/bulk/bulk-insert-10000.apex 12 KB
- assets/bulk/bulk-insert-200.apex 12 KB
- assets/bulk/bulk-insert-500.apex 13 KB
- assets/bulk/bulk-upsert-external-id.apex 13 KB
- assets/cleanup/delete-by-created-date.apex 16 KB
- assets/cleanup/delete-by-name.apex 13 KB
- assets/cleanup/delete-test-data.apex 17 KB
- assets/cleanup/rollback-transaction.apex 12 KB
- assets/csv/account-import.csv 2 KB
- assets/csv/contact-import.csv 2 KB
- assets/csv/custom-object-import.csv 1 KB
- assets/csv/opportunity-import.csv 2 KB
- assets/factories/account-factory.apex 6 KB
- assets/factories/case-factory.apex 8 KB
- assets/factories/contact-factory.apex 6 KB
- assets/factories/custom-object-factory.apex 11 KB
- assets/factories/event-factory.apex 10 KB
- assets/factories/hierarchy-factory.apex 16 KB
- assets/factories/lead-factory.apex 6 KB
- assets/factories/opportunity-factory.apex 7 KB
- assets/factories/task-factory.apex 8 KB
- assets/factories/user-factory.apex 9 KB
- assets/json/account-contact-tree.json 4 KB
- assets/json/account-opportunity-tree.json 3 KB
- assets/json/full-hierarchy-tree.json 6 KB
- assets/soql/aggregate.soql 12 KB
- assets/soql/child-to-parent.soql 10 KB
- assets/soql/parent-to-child.soql 9 KB
- assets/soql/polymorphic.soql 11 KB
- assets/soql/subquery.soql 16 KB
- references/anonymous-apex-guide.md 2 KB
- references/bulk-operations-guide.md 2 KB
- references/bulk-testing-example.md 5 KB
- references/cleanup-rollback-example.md 8 KB
- references/cleanup-rollback-guide.md 2 KB
- references/crud-workflow-example.md 4 KB
- references/governor-limits-reference.md 2 KB
- references/orchestration.md 7 KB
- references/relationship-query-examples.md 6 KB
- references/sf-cli-data-commands.md 3 KB
- references/soql-relationship-guide.md 2 KB
- references/test-data-best-practices.md 3 KB
- references/test-data-factory-usage.md 8 KB
- references/test-data-patterns.md 2 KB
- scripts/soql_validator.py 11 KB
- scripts/validate_data_operation.py 13 KB
Wersje
W bazie nie ma innych skilli o nazwie platform-data-manage.
Identyczna treść występuje jeszcze w 5 innych folderach na GitHubie. Tu pokazujemy jedną, najlepiej ocenioną kopię.
Migawka bazy z 28.10.2026 · wersja paczki fc5d109ab70f (skrót SHA-256 całej paczki)
Pobrania w ostatnich 30 dniach: 0 · ranking
Zgłoś problem z tym skillem: szkodliwa treść, błędny opis albo prośba autora o usunięcie.
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